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Data Science with Python Course in Delhi

Data Science with Python Course in Delhi
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Live Online Classes starting on 19th Jul 2025
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Why enroll for Data Science with Python course in Delhi?

pay scale by Edureka courseSince Python is Highly popular among MNCs, it is easy to find relevant job opportunities in Delhi.
IndustriesAccording to Naukri, 5000+ Python jobs available in Delhi.
Average Salary growth by Edureka courseCompanies hiring python developers in Delhi are Oracle, American Express, HCL Technologies, NIIT Technologies and many more.

Data Science with Python Certification Course Benefits in Delhi

Data science job opportunities are projected to increase by 30% annually, and proficiency in Python programming and data science can unlock vast job prospects. The rise in demand for skilled data scientists and machine learning engineers has prompted more businesses to incorporate machine learning into their operations and help companies analyze and process data, leading to quick and effective decision-making. Obtaining a Data Science and ML Certification from Edureka is the optimal way to secure a lucrative job in this field.
Annual Salary
Data Scientist average salary
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Machine Learning Engineer average salary
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Data Analyst average salary
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Python Developer average salary
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Why Data Science with Python course from edureka in Delhi

Live Interactive Learning

Live Interactive Learning

  • World-Class Instructors
  • Expert-Led Mentoring Sessions
  • Instant doubt clearing
Lifetime Access

Lifetime Access

  • Course Access Never Expires
  • Free Access to Future Updates
  • Unlimited Access to Course Content
24x7 Support

24x7 Support

  • One-On-One Learning Assistance
  • Help Desk Support
  • Resolve Doubts in Real-time
Hands-On Project Based Learning

Hands-On Project Based Learning

  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments
Industry Recognised Certification

Industry Recognised Certification

  • Edureka Training Certificate
  • Graded Performance Certificate
  • Certificate of Completion

About your Data Science with Python course

Data Science with Python Skills Covered in Delhi

  • skillPython Programming
  • skillStatistical Foundations
  • skillData Analysis and Visualization
  • skillSupervised and Unsupervised Machine Learning
  • skillDatabase Integration with Python
  • skillData Visualization Using Tableau

Data Science with Python Tools Covered in Delhi

  • Python
  • Jupyter
  • Scikit-Learn
  • NumPy
  • Pandas
  • matplotlib
  • mongoDB

Data Science with Python Course Syllabus in Delhi

Curriculum Designed by Experts

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Edureka's Data Science with Python Training in Delhi will offer in-depth training for Python programming. We offer live, instructor-led training sessions to assist you in mastering the basics of Python. In this Edureka's Data Science with Python training in Delhi, you will learn Python programming fundamentals, such as Data Structures and Data Types, Tuples lists, Strings essential functions and operations, GUIs multi-threading, data manipulation, etc and Expressions and networking Lambda expressions, and much more. Furthermore, during your Data Science Python course, you will develop a deep knowledge of Python concepts such as modules and OOPS, Django framework, Database programming, and connectivity to a variety of data sources.

Introduction to Data Science and ML using Python

16 Topics

Topics:

  • Overview of Python
  • The Companies using Python
  • Different Applications where Python is Used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the Screen
  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science

skillHands-on:

  • Creating “Hello World” code
  • Variables
  • Demonstrating Conditional Statements
  • Demonstrating Loops

skillSkills You will Learn:

  • Basics of Python Programming
  • Command Line Parameters and Flow Control in Python

Data Handling, Sequences and File Operations

12 Topics

Topics:

  • Data Analysis Pipeline
  • What is Data Extraction?
  • Types of Data
  • Raw and Processed Data
  • Data Wrangling
  • Python files I/O Functions
  • Numbers
  • Strings and related operations
  • Tuples and related operations
  • Lists and related operations
  • Dictionaries and related operations
  • Sets and related operations

skillHands-on:

  • Tuple - properties, related operations, compared with the list
  • List - properties, related operations
  • Dictionary - properties, related operations
  • Set - properties, related operations

skillSkills You will Learn:

  • Taking input from the user and performing operations on it
  • Data types in Python

Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions

13 Topics

Topics:

  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values
  • Lambda Functions
  • Object Oriented Concepts
  • Standard Libraries
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways
  • Errors and Exception Handling
  • Handling Multiple Exceptions

skillHands-on:

  • Lambda function in Python
  • Errors and Exceptions in Python
  • Packages and Modules in Python
  • Functions - Syntax, Arguments, Keyword Arguments, Return Values
  • Sorting - Sequences, Dictionaries, Limitations of Sorting

skillSkills You will Learn:

  • Object Oriented Concepts
  • Python Functions, Standard Libraries and Modules
  • Handling Exceptions in Python

Introduction to NumPy, Pandas, and Matplotlib

13 Topics

Topics:

  • Data Analysis
  • NumPy - arrays
  • Operations on arrays
  • Indexing, slicing, and iterating
  • Reading and writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
  • Metadata for imported Datasets
  • Matplotlib library
  • Grids, axes, plots
  • Markers, colors, fonts, and styling
  • Types of plots - bar graphs, pie charts, histograms
  • Contour plots

skillHands-on:

  • NumPy library - Creating NumPy array, operations performed on NumPy array
  • Pandas library - Creating series and data frames, Importing and exporting data
  • Matplotlib library - Using Scatterplot, histogram, bar graph, a pie chart to show information, Styling of Plot

skillSkills You will Learn:

  • Basic Functionalities of the NumPy library in Python
  • Basic Functionalities of the Pandas library in Python
  • Basic Functionalities of the Matplotlib library in Python

Data Manipulation

5 Topics

Topics:

  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring and analyzing datasets
  • Analysing a dataset

skillHands-on:

  • Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

skillSkills You will Learn:

  • Performing data manipulation using various functionalities of the Pandas library in Python

Introduction to Machine Learning with Python

6 Topics

Topics:

  • What is Machine Learning?
  • Machine Learning Use-Cases
  • Machine Learning Process Flow
  • Machine Learning Categories
  • Linear regression
  • Gradient descent

skillHands-on:

  • Linear Regression – Boston Dataset

skillSkills You will Learn:

  • Machine Learning concepts
  • Machine Learning types
  • Linear Regression Implementation

Supervised Learning - I

6 Topics

Topics:

  • What are Classification and its use cases?
  • What is a Decision Tree?
  • Algorithm for Decision Tree Induction
  • Creating a Perfect Decision Tree
  • Confusion Matrix
  • What is Random Forest?

skillHands-on:

  • Implementation of Logistic Regression, Decision Tree, Random Forest algorithms

skillSkills You will Learn:

  • Supervised Learning concepts
  • Implementing various Supervised Learning algorithms
  • Evaluating model output

Dimensionality Reduction

6 Topics

Topics:

  • Introduction to Dimensionality
  • Why Dimensionality Reduction
  • PCA
  • Factor Analysis
  • Scaling dimensional model
  • LDA

skillHands-on:

  • Implementing PCA
  • Scaling dimensional model
  • Implementing LDA

skillSkills You will Learn:

  • Implementing Dimensionality Reduction Technique

Supervised Learning - II

8 Topics

Topics:

  • What is Naïve Bayes?
  • How Naïve Bayes works?
  • Implementing Naïve Bayes Classifier
  • What is a Support Vector Machine?
  • Illustrate how Support Vector Machine works
  • Hyperparameter Optimization
  • Grid Search vs. Random Search
  • Implementation of Support Vector Machine for Classification

skillHands-on:

  • Implementation of Naïve Bayes, SVM algorithms

skillSkills You will Learn:

  • Supervised Learning concepts
  • Implementing various Supervised Learning algorithms
  • Evaluating model output

Unsupervised Learning

7 Topics

Topics:

  • What is Clustering & its Use Cases?
  • What is K-means Clustering?
  • How does the K-means algorithm works?
  • How to do optimal clustering
  • What is C-means Clustering?
  • What is Hierarchical Clustering?
  • How does Hierarchical Clustering work?

skillHands-on:

  • Implementing K-means Clustering
  • Implementing Hierarchical Clustering

skillSkills You will Learn:

  • Unsupervised Learning concepts
  • Implementation of various Clustering techniques

Association Rules Mining and Recommendation Systems

7 Topics

Topics:

  • What are Association Rules?
  • Association Rule Parameters
  • Calculating Association Rule Parameters
  • Recommendation Engines
  • How do Recommendation Engines work?
  • Collaborative Filtering
  • Content-Based Filtering

skillHands-on:

  • Implementing Apriori Algorithm
  • Performing Market Basket Analysis

skillSkills You will Learn:

  • Data Mining using Python
  • Recommender Systems using Python

Reinforcement Learning (Self-Paced)

9 Topics

Topics:

  • What is Reinforcement Learning?
  • Why Reinforcement Learning?
  • Elements of Reinforcement Learning
  • Exploration vs. Exploitation dilemma
  • Epsilon Greedy Algorithm
  • Markov Decision Process (MDP)
  • Q values and V values
  • Q – Learning
  • Values

skillHands-on:

  • Calculating Reward
  • Discounted Reward
  • Calculating Optimal quantities
  • Implementing Q Learning
  • Setting up an Optimal Action

skillSkills You will Learn:

  • Implementing Reinforcement Learning using Python
  • Developing Q Learning model in Python

Time Series Analysis (Self-Paced)

10 Topics

Topics:

  • What is Time Series Analysis?
  • Importance of TSA
  • Components of TSA
  • White Noise
  • AR model
  • MA model
  • ARMA model
  • ARIMA model
  • Stationarity
  • ACF & PACF

skillHands-on:

  • Checking Stationarity
  • Converting non-stationary data to stationary
  • Implementing Dickey-Fuller Test
  • Plotting ACF and PACF
  • Generating the ARIMA plot

skillSkills You will Learn:

  • TSA Forecasting in Python

Model Selection and Boosting

7 Topics

Topics:

  • What is Model Selection?
  • Need for Model Selection
  • Cross Validation
  • What is Boosting?
  • How do Boosting Algorithms work?
  • Types of Boosting Algorithms
  • Adaptive Boosting

skillHands-on:

  • Performing Cross Validation
  • Implementing AdaBoost using Python

skillSkills You will Learn:

  • Performing Model Selection
  • Boosting algorithms using Python

Statistical Foundations (Self-Paced)

8 Topics

Topics:

  • What is Exploratory Data Analysis?
  • EDA Techniques
  • EDA Classification
  • Univariate Non-graphical EDA
  • Univariate Graphical EDA
  • Multivariate Non-graphical EDA
  • Multivariate Graphical EDA
  • Heat Maps

skillHands-on:

  • Implementing Graphical EDA Techniques
  • Implementing Non-Graphical EDA Techniques

skillSkills You will Learn:

  • Performing EDA on the dataset(s) in Python

Database Integration with Python (Self-Paced)

22 Topics

Topics:

  • Basics of database management
  • Python MySql
  • Create database
  • Create a table
  • Insert into table
  • Select query
  • Where clause
  • OrderBy clause
  • Delete query
  • Drop table
  • Update query
  • Limit clause
  • Join and Self-Join
  • MongoDB (Unstructured)
  • Insert_one query
  • Insert_many query
  • Update_one query
  • Update_many query
  • Create_index query
  • Drop_index query
  • Delete and drop collections
  • Limit query

skillHands-on:

  • CRUD operations using Python MySql and MongoDB

skillSkills You will Learn:

  • Database management systems
  • Database Integration with Python
  • Working of database applications

Data Connection and Visualization in Tableau (Self-Paced)

9 Topics

Topics:

  • Data Visualization
  • Business Intelligence tools
  • VizQL Technology
  • Connect to data from the File
  • Connect to data from the Database
  • Basic Charts
  • Chart Operations
  • Combining Data
  • Calculations

skillHands-on:

  • Connecting to data from File, Database, and Server
  • Performing operations on Hierarchies, Data Granularity and Highlighting feature
  • Creating calculated fields using basic functions
  • Defining LOD expressions
  • Creating Parameters
  • Performing User Input and What-if analysis

skillSkills You will Learn:

  • Data Distribution using various charts in Tableau
  • Combining Data using Joins, Unions and Data Blending
  • Sorting, Filtering and Grouping Techniques
  • Table Calculations in Tableau

Advanced Visualizations (Self-Paced)

10 Topics

Topics:

  • Trend lines
  • Reference lines
  • Forecasting
  • Clustering
  • Geographic Maps
  • Using charts effectively
  • Dashboards
  • Story Points
  • Visual best practices
  • Publish to Tableau Online

skillHands-on:

  • Analyzing data using techniques including Forecasting, Trend Lines, Reference Lines, Clustering, and Geographic Maps
  • Building Dashboard Layout and Formatting
  • Building Story points

skillSkills You will Learn:

  • Advanced visualization techniques in Tableau
  • Building Dashboards and Stories in Tableau

In-Class Project (Self-Paced)

1 Topics

Topics:

  • Predict the species of Plant

skillHands-on:

  • Analyze the data
  • Predict the plant species

skillSkills You will Learn:

  • Data Pre-processing
  • Feature Engineering
  • Implementation of Machine Learning Algorithm

Data Science with Python training in Delhi Description

Edureka provides comprehensive Data Science with Python training in Delhi to help you comprehend the basic concepts of concepts like writing sequences, scripts, and other procedures that involve files in Python and also gain knowledge of practical applications. Data Science with Python training in Delhi is, coupled with real-time tasks and hands-on projects. Python is an open-source high-level programming language that can be used for an array of activities and web applications that address automation and large data and data science and Information Analytics development. It's a versatile, powerful object-oriented language that can be interpreted, object-oriented, or cracked. A language that you will master during this Data Science with Python course in Delhi.

About The Data Science with Python Course in Delhi

Edureka's Data Science with Python Training in Delhi is focused on the basics in Statistics and Machine Learning and helps one build expertise in Data Science at scale using Python. The Data Science with Python Training course is a step-by-step tutorial on Python and Data Science with extensive hands-on. The Python Data Science course in Delhi is full of tasks, activities, and scenarios that aid you in understanding how to solve problems related to predictive modeling that require Machine Learning using Python. Starting with the basics of Statistics such as median means, mean, and mode, You will be able to investigate options like Data Analysis, Regression, and Classification, and Clustering, as well as the Naive Bayes Cross-Validation, Label Encoding, and random Forests as well as Decision Trees and Support Vector Machines. Each will have an example and exercise to guide you into the specifics.

    Furthermore, in the Data Science and Python certification course in Delhi, You will also learn Reinforcement Learning. This is an essential component that is a crucial aspect of Artificial Intelligence. It lets you instruct your Machine through real-world situations in order to build Machine Learning Algorithms. Edureka's Course in Python for Data Science in Delhi will teach basic and advanced concepts like the writing of Python Sequences, scripts, and file operations. The Course will use libraries like numpy, scikit and pandas, matplotlib, and master concepts like machine learning, scripts, and sequence.

      What are the prerequisites for Data Science with Python Training in Delhi?

      Edureka's Python Data Science course in Delhi prerequisites include a fundamental understanding of Computer Programming Languages. The basics in Data Analysis practiced over any tools for data analysis, such as SAS/R, are a plus. You will also receive the course "Python Statistics for Data Science" as an online self-paced course when you enroll in The Data Science with Python certification course in Delhi.

        What are the objectives of Data Science with Python Training in Delhi?

        Upon completion of Data Science using Python Certification course, You can:

        • Programmatically download and analyze data
        • Learn to manage different types of data: categorical, ordinal, and the process of coding
        • Learn data visualization
        • With Python notebooks, you will know how to present your step-by-step analysis of data
        • Gain a better understanding of the roles played by Machine Learning Engineers. Machine Learning Engineer
        • Define Machine Learning
        • Use real-time data
        • Learn about techniques and tools to model predictively.
        • Discussion about how to apply Machine Learning algorithms and their applications.
        • Verify the Machine Learning algorithms
        • Do the following tasks: Text Mining as well as Sentimental Analysis
        • Let us discuss the Time Series and its related concepts.
        • Learn to run your business's future while still living in the present.

        Edureka offers the most efficient online Course to master Python Data Science. Register now to join Our Data Science course that includes Python training and the chance to learn from industrial giants.


        Who should I take the Data Science with Python Course in Delhi?

        Edureka's Course is an excellent course for people who are not at the professional level:

        • Developers and Programmers, Technical Leads and Architects
        • Developers who would like to be an engineer in machine learning.
        • Analytics Managers who supervise the analyst's team
        • Business Analysts that want to grasp Machine
        • Learning (ML) Techniques
        • Information Architects who want to gain expertise in
        • Predictive Analytics
        • Professionals who would like to create automated models for predictive purposes

        What are the prerequisites for this Data Science with Python Training in Delhi?

        The prerequisites for Edureka's Python Data Science and ML course training in Delhi include a fundamental understanding of Computer Programming Languages.

          Why should I learn Python for Data Science?

          Python is among the most popular, flexible, and powerful open-source languages. It is easy to master, easy to learn, and has a highly robust library for data analysis and manipulation. Since the beginning of time, the language has been utilized in scientific computing and other areas that require a high degree of quantitative analysis, such as finance, oil and gas, and physics, as well as signal processing. It's been a preferred choice for data scientists who utilize it to develop as well as run machine-learning programs as well as other scientific computations. Python cuts development time by a quarter due to its easy-to-understand syntax and simple compilation. Debugging programs is easy using Python due to its built-in debugger. Python is now the preferred programming language to perform Data Analytics. Recent searches indicate that it's becoming an option for the Next Big thing and an absolute requirement for professionals involved with Data Analytics domain.

          How will I execute the practicals in this online Data Science with Python course in Delhi?

          You will do your assignments and case studies using Jupyter Notebook, which is already installed on your Cloud LAB environment (access it from a browser). The access credentials are available on your LMS. Should you have any queries, the 24*7 Support Team will promptly assist you.

            Data Science with Python Course Projects in Delhi

            certification projects

            Industry: Automobile

            Riding the digital wave, India's used car market is set to grow at a compounded annual growth of 11% and likely to touch sales of up to 8.3 million units by FY26 as more people h....
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            certification projects

            Industry: Healthcare

            Heart Disease is among the most prevalent chronic diseases in the United States, impacting millions of Americans each year and exerting a significant financial burden on the econ....
            View Project Details

            Data Science with Python Certification in Delhi

            You need to complete the modules successfully to earn a Joint Co-Branded Certificate of Participation by NASSCOM FutureSkills Prime and Edureka. On completing the course, the Learner is eligible for Government of India (GOI) incentives after successfully clearing the mandatory NASSCOM Assessment for which the learner will be awarded a NASSCOM certification. For more details please visit: https://futureskillsPrime.in/govt-of-India-incentives

            A skilling ecosystem focused on emerging technologies, powered by a partnership between the Ministry of Electronics and Information Technology, the Government of India, NASSCOM, and the IT industry. It seeks to propel India to become a global hub of talent in emerging technologies. FutureSkills Prime is one of the lighthouse schemes under the Government’s Trillion Dollar Digital Economy initiative.
            A skilling ecosystem focused on emerging technologies, powered by a partnership between the Ministry of Electronics and Information Technology, the Government of India, NASSCOM, and the IT industry. It seeks to propel India to become a global hub of talent in emerging technologies. FutureSkills Prime is one of the lighthouse schemes under the Government’s Trillion Dollar Digital Economy initiative. 
            You need to complete the modules successfully to earn a Joint Co-Branded Certificate of Completion by NASSCOM FutureSkills Prime and Edureka. On completing the course, the Learner is eligible for Government of India (GOI) incentives after successfully clearing the mandatory NASSCOM Assessment for which the learner will be awarded a NASSCOM certification. For more details please visit: https://futureskillsPrime.in/govt-of-India-incentives.
            • First of its kind government and industry partnership to drive a national skilling ecosystem for digital technologies. 
            • End-to-end skilling from assessment to certification. 
            • Affordable, credible content handpicked by industry leaders. 
            • Speed up learning with bite-sized course modules. 
            • Certifications recognized by the industry.
            GoI Incentive can be claimed by all Indian Nationals above 18 years of age. The current programme covers beneficiaries divided into the following broad categories: 

            • IT employees in IT Firms and Non-IT firms
            • Non-IT employees aspiring to use new and emerging technologies in their respective domains
            • Employees whose skills for a particular job have become outdated.
            • Central Govt. & State Govt. Employees including employees of PSUs & Autonomous bodies (Govt. Employees)
            • Fresh Recruits who are yet to take up a job, as well as undergoing/selected for internship & Apprenticeship roles in IT/ ITeS
            GoI Incentive can be claimed by all Indian Nationals above 18 years of age. The current programme covers beneficiaries divided into the following broad categories:
            • IT employees in IT Firms and Non-IT firms
            • Non-IT employees aspiring to use new and emerging technologies in their respective domains
            • Employees whose skills for a particular job have become outdated.
            • Central Govt. & State Govt. Employees including employees of PSUs & Autonomous bodies (Govt. Employees)
            • Fresh Recruits who are yet to take up a job, as well as undergoing/selected for internship & Apprenticeship roles in IT/ ITeS
            Mapping Your journey in 8 steps:
            • Enrolment in the Edureka portal
            • Successful completion of course modules
            • Quizzes, assignments, and certificate project submission
            • Assignment and project evaluation by Edureka 
            • Joint co-branded certificate of participation from NASSCOM and Edureka
            • Sign up on the FutureSkills Prime platform for mandatory FutureSkills Prime assessment
            • SSC Certificate issuance by Futureskills Prime on successful completion
            • Avail for GOI incentives upon successful completion of FutureSkills Prime assessment

            • Enrolment in the Edureka portal
            • Successful completion of course modules
            • Quizzes, assignments and certificate project submission
            • Assignment and project evaluation by Edureka 
            • Joint co-branded certificate of participation from NASSCOM and Edureka
            • Sign up on the FutureSkills Prime platform for mandatory FutureSkills Prime assessment
            • SSC Certificate issuance by Futureskills Prime on successful completion
            • Avail for GOI incentives upon successful completion of FutureSkills Prime assessment
            Yes, we offer a practice test in the Data Science with Python course in Delhi to help you prepare for job interviews. 
            You do not need a coding background to enroll in this Data Science with Python course. The course begins with beginner modules in which we cover the fundamentals of Python coding. In fact, you do not need prior knowledge in Data Science and Machine Learning either. All relevant topics are a part of this course from scratch. 

            To unlock the  Edureka’s Data Science with Python Training course in Delhi completion certificate, you must ensure the following:
            • Completely participate in this  Edureka’s Data Science with Python Training Course.
            • Evaluation and completion of the quizzes and projects listed.
            Right after the completion of this Data Science with Python course in Delhi, you will obtain a certificate and will be eligible to apply for junior or associate data scientist jobs. After gaining some work experience, you can become a Senior Data Scientist or Machine Learning Engineer. This Edureka online course offers you the opportunity to connect with expert industry instructors to guide you through your desired career path.

            Yes, Data Scientist is a good career option for those interested in working with data and extracting insights from it. With the explosive growth of data in recent years, the demand for skilled data scientists has increased significantly. As a Data Scientist, one can work in a variety of industries such as healthcare, finance, marketing, and more. The job typically requires a strong foundation in statistics, machine learning, and programming skills, as well as a good understanding of business and domain knowledge. Data Scientist is responsible for collecting, analyzing, and interpreting large and complex data sets to inform business decisions and strategies. Overall, data science is a challenging and rewarding career option with a promising outlook for the future.
            Please visit the page which will guide you through the top 100+ Data Science Interview Questions with answers.

            Yes, Machine Learning Engineer is a good career option for those interested in working with machine learning algorithms and implementing them in real-world applications. Machine learning is a rapidly growing field with increasing demand for professionals who can build and deploy machine learning models to automate tasks and extract insights from large amounts of data. As a Machine Learning Engineer, one can work in a variety of industries such as healthcare, finance, e-commerce, and more. The job typically requires a strong foundation in machine learning, programming skills, and a good understanding of software engineering principles. Overall, machine learning engineering can be a challenging and rewarding career option with a promising outlook for the future.
            Data Science with Python Certification in Delhi provides a strong foundation in data science, machine learning, and Python programming. This certification is valuable for several reasons:
            • Demonstrates Mastery of Key Skills: Certification indicates that an individual has a strong understanding of data science concepts, machine learning techniques, and Python programming skills.
            • Improves Job Prospects: Data science and machine learning are high-growth industries, and certification can improve job prospects by demonstrating expertise in these areas.
            • Increases Earning Potential: Certified data scientists and machine learning engineers often earn higher salaries compared to their non-certified peers.
            • Enhances Credibility: Certification is a recognized indicator of expertise and can enhance an individual's credibility in the field.
            • Keeps Skills Up-to-Date: Data science and machine learning are constantly evolving fields, and certification requires individuals to stay up-to-date with the latest technologies and techniques.
            • Enables Career Advancement: Certification can enable individuals to advance their careers by demonstrating mastery of key skills and increasing their value to their organization.
            Data Science with Python Certification in Delhi can open up various job roles in the field of data science and machine learning. Some of the common job roles available after completing this certification include:
            • Data Analyst: A data analyst collects, analyzes, and interprets large datasets to help businesses make informed decisions.
            • Machine Learning Engineer: A Machine Learning Engineer is responsible for designing, building, and deploying machine learning models that can automate certain tasks.
            • Data Scientist: A Data Scientist is responsible for analyzing and interpreting complex data to extract insights and build predictive models.
            • Business Intelligence Analyst: A Business Intelligence Analyst is responsible for analyzing data to provide insights that can help businesses make informed decisions.
            • AI Architect: An AI Architect is responsible for designing and implementing AI systems, including machine learning algorithms and neural networks.
            • Research Scientist: A Research Scientist is responsible for conducting research and experiments to develop new machine learning algorithms and techniques.
            You do not need a coding background to enroll in this Data Science with Python course in Delhi. The course begins with basic modules in which we cover the fundamentals of Python coding. In fact, you do not need prior knowledge in data science or machine learning either. All relevant topics are a part of this course from scratch.
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            Data Science with Python Training in Delhi FAQs

            What does it mean to do Data Science with Python?

            Data is everywhere. Data science provides an excellent method of obtaining information. The field of data science in Delhi offers a variety of applications, and Python is the language used to build these kinds of applications. Python is an open-source language that implies it can build websites with back-end APIs and scripting. Frameworks, libraries, and tools can be used to carry out a range of operations within data science.

            What is Python for Data Science?

            Data is all around us, and data science will help extract the information. Data science has many applications, and python can be used to implement them. Python is a generic language that can be used to build websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to perform various operations in data science.

            Why should I study Data Science with Python Course in Delhi?

            Python is among the most utilized languages for Data Science, which can be used to analyze data and manipulation and visualization. It is able to access a wide range of Data Science libraries, making it the perfect instrument for developing programs and algorithms.

            Why should I learn Data Science with Python Course in Delhi?

            Python is definitely one of the most popular languages in Data Science, which can be used for data analysis, manipulation, and visualization. It has access to many Data Science libraries, making it the perfect language for developing applications and implementing algorithms.

            Where can I take a Data Science with Python Course in Delhi?

            There are many free online learning tools, but it is important to choose one that will teach data science effectively. It is important to select an online platform that is able to interactively instruct students and offers the correct curriculum that will help you navigate your way through the world of data science. Edureka can be one of those platforms since we provide the best online Python course that includes data science classes in Delhi. We'll help you go from data analyst to beginner by using Python or data science.

            Where Can I Learn Python for Data Science in Delhi?

            Although there are many free learning resources available, finding one that teaches data science very well is recommended. You should choose a platform that will teach you interactively and has a curriculum designed to help you along your data science journey. Edureka is one such platform as we offer the best online Data Science with Python course for data science that will take you from beginner to data analyst in Python or data scientist.

            Can I learn Python for a Data Science course online?

            Technology advancement has made it simpler and faster to learn online. You can enjoy your studying without restrictions. The Edureka Data Science with Python course in Delhi offers live instruction and online access to learning resources. You'll learn the basic concepts quickly due to our extensive and growing collection of tutorials on blogs and YouTube tutorials. We provide a 24/7 support service to assist students with any queries following the Course has concluded.

            Can I learn a Python for Data Science in Delhi?

            Technology has made it easier and more efficient to learn online. It allows you to learn at your own pace without any barriers. Edureka's Data Science with Python certification course in Delhi offers live classes and online access to study material from any location at any time. You will be able to grasp the key concepts quickly with our extensive and growing collection of tutorials, blogs, and YouTube videos. We offer a 24/7 support service to answer any questions you may have after your class ends.

            Who is the instructor for the Data Science with Python Course in Delhi?

            The instructors  at Edureka are professionals from the industry who have a minimum of 10-15 years' relevant IT expertise. They are specialists in their fields and have been trained by Edureka to provide the best learning experience for learners interested in Python Data Science Training at Delhi.

            Who are the instructors for the Python Data Science Course in Delhi?

            All the instructors at edureka! are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants of Python Data Science Training.

            What is the best timeframe for mastering Python?

            It can take between 5 to 10 weeks for you to grasp the basics of Python techniques, including the model of object-oriented programming and the basics of Python syntax. It is important to keep in mind that the amount of time required for mastering Python programming will depend on the experience you have had with web development, data science, and other related areas.

            What is the next step if I have additional questions about the Data Science with Python course?

            Contact us at +91 98702-76459/1844 6365 (US Toll-Free Number) or email us at sales@edureka.co

            What is the Data Science with Python Course in Delhi duration?

            Data Science with Python Course in Delhi can take between five and 10 weeks to learn basic Python programming concepts, including object-oriented programming and basic Python syntax. It is important to note that the time it takes for Python programming depends on your experience with web development, data science, and other related fields.

            What is the reason for taking the Data Science with Python course in Delhi?

            Python is the most preferred language used by data researchers over other languages because it has powerful machine learning tools that can create the most efficient machine-learning algorithms. This provides a deeper understanding of your current performance without compromising any performance or efficiency of your system. These advanced frameworks allow data scientists to create the most effective neural networks. Python is the foundation of Google, YouTube, and Instagram. It permits numerous tasks to be automated, and the program can be utilized in a variety of languages. The code is simple to use and has well-documented. Most businesses aren't employing the data-driven strategy. The market isn't equipped with the skills to use data. To fill the shortage in demand for data, it is necessary to acquire knowledge about Data science and its related fields through  Data science with Python training at Delhi.

            How will I execute practical’s in Edureka's Data Science with Python Certification Course in Delhi?

            You will do your Assignments/Case Studies using Jupyter Notebook, already installed on your Cloud Lab environment, whose access details will be available on your LMS. You will be accessing your Cloud Lab environment from a browser. For any doubt, the 24*7 support team will promptly assist you. 

            What are the Job Opportunities after Completing Data Science with Python Course in Delhi?

            Completing a Data Science with Python course in Delhi can open up several job opportunities in the field of data analysis, machine learning, and predictive modeling. Some of the common job roles that one can pursue after completing a Data Science with Python course include:
            • Data Scientist
            • Business Intelligence Analyst
            • Machine Learning Engineer
            • Data Analyst
            • Data Engineer
            • Data Architecture
            • Big Data Analyst
            • Predictive Modeler
            These roles typically involve analyzing large datasets, building machine learning models, and creating visualizations to help organizations make data-driven decisions. Companies across various industries such as technology, finance, healthcare, retail, and e-commerce, among others, are looking for professionals with expertise in data science and Python programming. Additionally, many startups and small businesses in Delhi are also hiring professionals with data science skills to help them leverage the benefits of data-driven decision making.

            What does a Data Science Expert do?

            A Data Science Expert applies statistical, mathematical, and computational techniques to analyze and interpret large and complex datasets to extract insights, make predictions, and inform decision-making. They are skilled in programming languages like Python or R and use various tools and technologies such as machine learning algorithms, data visualization, and database systems to manipulate, process and analyze data. They may work in various industries such as finance, healthcare, marketing, etc.

            What are the different ways Data Scientists use Python in everyday activities?

            Data scientists are responsible for many different tasks throughout their day. They gather data, then analyze it to find patterns or patterns. To reduce the burden of data, they design methods to test them. This is done using Python and other programs.

            Why is it essential to learn Data Science with Python course in Delhi?

            Python is preferred by data scientists over other languages because it has powerful machine-learning libraries that can be used to build any machine-learning algorithm. This allows for a better understanding of the current performance without sacrificing existing performance. These powerful frameworks allow data scientists to create the right neural networks. Python is the foundation of Google, YouTube and Instagram. It allows for multiple tasks to be automated and the use of these applications in various languages. The code is simple and well-documented. Many organizations are still not adopting a data-centric approach. The market lacks data literacy. To fill this gap in supply, you will need to study data science and its underlying areas by taking python data science training.

            Does Edureka provide a free education resource to help you learn Data Science with Python course?

            If you're searching for free Python for Data Science resources, read our blog posts about Data Science tutorials and Data Science Interview Questions.

            Which kind of projects will be a part of this Data Science with Python Certification Course in Delhi?

            Project Title: Consumer Complaint Resolution 
            Problem Statement: Predicting which complaints have a higher potential to be disputed and identifying systematic issues can help enhance the quality of communication and satisfactory resolution.

            What is the consequence if I fail to attend the class?


            There's no way not to miss the lecture at Edureka! There are a variety of the following options:

            • Access recorded classes of the class inside your LMS.
            • You can still attend the session or every other session live.

             

            How can I obtain assistance with my placement after Data Science with Python Training?

            To assist you in this job and assist you in achieving your goals, we've included the online tools for building resumes into your LMS. Building your perfect resume in just three easy steps is now possible. You can use these templates to fill in various job roles and positions. All you need to do is log in to your LMS and then click on the"create your resume "option.

            What are the alternative options to Edureka's Data Science course offered by Edureka in addition to this Course?


            Another Data Science course offered by Edureka includes:

            Does Edureka provide any free learning resource for Data Science with Python course in Delhi?

            If you are looking for free resources on Python for Data Science then read our blogs on Data Science tutorial, and Data Science Interview Questions. 

            What if I miss a Data Science with Python Course in Delhi class?

            You will never miss a lecture at edureka! You can choose either of the two options:
            • View the recorded session of the class available in your LMS.
            • You can attend the missed session in any other live batch.

            Can I attend the demo session before registering?

            The limit is set on the number of participants in an official Data Science with Python course in Delhi to maintain the Quality Standards. Therefore, attending live classes without registration is not possible. However, you can look through the recorded version of the class to understand how classes run, the caliber of the instructors, and the degree of interaction that occurs during the class.

            Does Python help in Data Science?

            Python includes a range of tools, libraries, and instruments that can fulfill various roles within data science. Its syntax Python is much simpler than other languages like Scala and R. It's a tool to help you understand the fundamentals of data science with ease. It is a competent language, an excellent option for Data Science. Data Science Field.

            What type of job can I get after completing a Data Science with Python course in Delhi?

            This is an industry where opportunities are plenty, so once you have the education and qualifications, the jobs are waiting for you. To name a few, some of the most common job titles for data scientists include:

            • Business Intelligence Analyst
            • Data Mining Engineer
            • Data Architect
            • Data Scientist
            • Senior Data Scientist

            Is R superior to Python for Data Science?

            TIOBE, Stack Overflow, and RedMonk demonstrate that Python is among the top three most popular programming languages in the tech-related world. It doesn't necessarily mean that it's more efficient. However, it suggests that it is more well-known and has a more significant number of people who can help and develop.

            What techniques can Python be used to assist with Data Science?

            Python is the most used language for data science due to its ease of use and simplicity. The language is easy to master without knowing science or engineering. The versatility and easy grasp make Python one of the top skills that significant companies look for in professionals working in data science.

            What can I expect when I've enrolled in the Data Science with Python Certification Course?

            It is possible to complete any of the Specialization courses once you've registered for the Course. After completing your course, you'll receive an official certificate, which is added to your page of achievements. It is then possible to print and post it on LinkedIn. You can view and read the course content for free if you do not want to purchase it.

            Can Edureka provide Data Science with Python Training in Delhi near me?

            Edureka is a well-known online education platform that offers Data Science with Python training. You can check their website to see if they offer training in Delhi or in a location near you. Additionally, you can also check their course offerings, schedule, and fees to see if they meet your needs and requirements.

            Can I attend a demo session before enrollment in Python for Data Science Course in Delhi?

            We have a limited number of participants in a live session of Data Science with Python course in Delhi to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight into how the classes are conducted, the quality of instructors and the level of interaction in a class.

            What are the companies hiring Data Scientists in Delhi?

            Delhi is home to several large companies and startups that are in need of skilled Data Scientists. Here are some of the well-known companies in Delhi that regularly hire Data Scientists:
            • TATA Consultancy Services (TCS)
            • Wipro
            • Infosys
            • HCL Technologies
            • Tech Mahindra
            • Amazon
            • Google
            • Flipkart
            • Microsoft
            • Accenture
            In addition to these large technology companies, there are also several startups and small businesses in Delhi that are looking to hire Data Scientists. These companies are looking for professionals with expertise in data analysis, machine learning, and predictive modeling to help them gain insights from their data and make data-driven decisions. The demand for Data Scientists in Delhi is quite high, and the job prospects for Data Scientists in the city are quite promising.

            What is the salary for a Data Scientist in Delhi?

            The salary of a Data Scientist in Delhi can vary based on several factors such as experience, skillset, and the company they work for. However, on average, a Data Scientist in Delhi can expect to earn a salary in the range of INR 7 to 25 lakhs per annum. It's important to note that this is just an estimate and the actual salary may vary based on the factors mentioned above. Additionally, senior Data Scientists with extensive experience and expertise in the field can earn higher salaries, often in excess of INR 25 lakhs per annum. Companies in Delhi, especially those in the technology sector, are often willing to pay premium salaries to attract and retain the best talent in the market.

            What is cost of Data Science with Python Course in Delhi?

            The cost of a Data Science with Python Course in Delhi is. 19,795/-.

            What will I get once I sign up for the Data Science with Python Course in Delhi?

            You can access all the Specialization courses when you sign up for the course. Once you have completed the work, you will receive a certificate added to your Accomplishments page. From there, you can print it or add it to LinkedIn. You can view and read the course content for free if you don't want to pay. 

            What are the companies hiring Data Scientists in Delhi?

            Delhi is home to several large companies and startups that are in need of skilled Data Scientists. Here are some of the well-known companies in Delhi that regularly hire Data Scientists:

            • TATA Consultancy Services (TCS)
            • Wipro
            • Infosys
            • HCL Technologies
            • Tech Mahindra
            • Amazon
            • Google
            • Flipkart
            • Microsoft
            • Accenture
            In addition to these large technology companies, there are also several startups and small businesses in Delhi that are looking to hire Data Scientists. These companies are looking for professionals with expertise in data analysis, machine learning, and predictive modeling to help them gain insights from their data and make data-driven decisions. The demand for Data Scientists in Delhi is quite high, and the job prospects for Data Scientists in the city are quite promising.

            What is the salary for a Data Scientist in Delhi?

            The salary of a Data Scientist in Delhi can vary based on several factors such as experience, skillset, and the company they work for. However, on average, a Data Scientist in Delhi can expect to earn a salary in the range of INR 7 to 25 lakhs per annum. It's important to note that this is just an estimate and the actual salary may vary based on the factors mentioned above. Additionally, senior Data Scientists with extensive experience and expertise in the field can earn higher salaries, often in excess of INR 25 lakhs per annum. Companies in Delhi, especially those in the technology sector, are often willing to pay premium salaries to attract and retain the best talent in the market.

            Have more questions?
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