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Data Science with Python Course in Noida

Data Science with Python Course in Noida
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Why enroll for Data Science with Python course in Noida?

pay scale by Edureka courseSince Python is Highly popular among MNCs, it is easy to find relevant job opportunities in Noida.
IndustriesAccording to Naukri, 1000+ Python jobs available in Noida.
Average Salary growth by Edureka courseCompanies hiring Python developers in Noida are Oracle, HCL, Tech Mahindra, GLobal logic, NIIT and many more.

Data Science with Python Certification Training Benefits in Noida

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 Noida

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 Noida

  • 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 Noida

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

Data Science with Python Course Curriculum in Noida

Curriculum Designed by Experts

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Edureka's Data Science with Python Training in Noida will offer in-depth training on Python programming. We offer live, instructor-led training sessions that will help you learn the basics of Python. In this Edureka's Data Science with Python training in Noida, You'll be taught Python programming fundamentals, like data Structures and data Types as well as Lists of Strings, Tuples which are vital functions and GUIs to multithreading and manipulating data, as well as Networking and Expressions Lambda expressions and much more. Additionally, in the Data Science Python course, you'll acquire comprehensive knowledge about Python concepts, including modules, an understanding of the 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

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Data Science with Python training in Noida description

Edureka provides entire Data Science with Python training in Noida to help you master the basic concepts like creating scripts, sequences, and other tasks which call for files that are written with Python and learn about practical applications. Data Science with Python training in Noida and is accompanied by real-time projects and hands-on projects. Python is an open-source high-level programming language that can be used in a variety of tasks and web applications that deal with the automated processing of large-scale data and information analytics development. It's a strong, flexible object-oriented language employed to read, write, interpret, or even interpret. You'll learn it during your Data Science with Python course in Noida.

About Data Science with Python Certification Course

Edureka's Data Science with Python Certification Training is Curated to enable you to grasp the concepts of Data Science and Machine Learning. As a data scientist, you'll not only come to appreciate the significance of machine learning but also gain proficiency in its application within the Python programming realm. This course empowers you to automate real-world scenarios seamlessly by utilizing machine learning algorithms. Furthermore, in the latter stages of the program, we delve into a diverse range of practical use cases where machine learning seamlessly integrates with the Python programming language, thus enriching your learning journey. Edureka offers the most exceptional online Data Science with Python training if you are dedicated to becoming proficient in Python. Seize the opportunity and enroll in an online Data Science with Python Certification Course now to benefit from the teaching of industry experts. Elevate your Python skills with us today.

    What are the prerequisites for this Data Science with Python Course?

    The prerequisites for Edureka's Python for Data Science Course include a fundamental understanding of Computer Programming Languages.

      Why Learn Data Science with Python?

      Python is a leading, versatile, and robust open-source programming language renowned for its ease of acquisition, user-friendliness, and powerful libraries tailored for data manipulation and analysis. This language has held sway over a decade in scientific computing and specialized quantitative domains, including finance, oil and gas, physics, and signal processing. It remains the preferred choice for data scientists engaged in creating and utilizing machine learning applications and other computational tasks of a scientific nature.

      Python's simplicity shines through with its code that is easy to read and features a hassle-free compilation process, effectively halving development time. Additionally, Python offers an integrated debugger that simplifies locating and fixing program errors. Consequently, Python has emerged as the go-to language for professionals engaged in Data Analytics.

      The flourishing search trends further underscore Python's status as the "Next Big Thing," making it an indispensable skill for individuals in data analytics.


        What are the objectives of our Data Science with Python Course?

        After completing this Data Science with Python Certification course, you will be able to:
        • Programmatically download and analyze data
        • Learn techniques to deal with different types of data – ordinal, categorical, encoding
        • Learn data visualization
        • Using python notebooks, master the art of presenting step-by-step data analysis
        • Gain insight into the 'Roles' played by a Machine Learning Engineer
        • Describe Machine Learning
        • Work with real-time data
        • Learn tools and techniques for predictive modeling
        • Discuss Machine Learning algorithms and their implementation
        • Validate Machine Learning algorithms
        • Explain Time Series and its related concepts
        • Perform Text Mining and Sentiment analysis

        Edureka offers the best online course for Python data science and ML. Enroll now in our Data Science with Python training and get a chance to learn from industry leaders.

          Who should go for this Python for Data Science course?

          • Freshers, Programmers, Developers, Technical Leads, Architects
          • Developers aspiring to be a ‘Machine Learning Engineer'
          • Analytics Managers who are leading a team of analysts
          • Business Analysts who want to understand Machine Learning (ML) Techniques
          • Information Architects who want to gain expertise in Predictive Analytics
          • Professionals who want to design automatic predictive models

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

          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 Certification Course Projects in Noida

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            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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            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....

            Data Science with Python Certification in Noida

            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

            • 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
            To unlock the  Edureka’s Data Science with Python Training course 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.
            Indeed, a career in data science presents a promising choice for those intrigued by manipulating and extracting insights from data. Given the exponential surge in data volumes, the demand for adept data scientists has increased substantially. Within the role of a Data Scientist, one finds opportunities across diverse sectors, including healthcare, finance, marketing, and others. This profession typically requires a robust grounding in statistics, machine learning, programming skills, and business and domain-specific knowledge. The core responsibilities of a Data Scientist encompass the aggregation, examination, and elucidation of extensive and intricate data sets to facilitate informed decision-making and strategic planning for businesses. Data science presents challenges and rewards, boasting a promising future outlook.

            To learn Data science as a beginner, one can start by learning Python programming and then move to data analysis. After understanding data analysis, one can learn the basics of machine learning,  and apply machine learning algorithms to real-world problems. This Data Science with Python Certification Course provides a structured learning experience and develops the necessary skills that help beginners to gain hands-on experience to become proficient in Data Science.

            Data Science with Python Certification 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.
            The Data Science with Python Certification course can open up various job roles in the field of data science and machine learning. Some of the typical job roles available after completing this certification include
            • Data Analyst
            • Machine Learning Engineer
            • Data Scientist
            • Business Intelligence Analyst
            • AI Architect
            • Research Scientist

            You can enroll in a Data Science with Python Course without a coding background. This Course does not need a coding background. The course begins with basic modules covering the fundamentals of Python coding. 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 Noida FAQs

            What is Data Science with Python?

            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 learn Data Science with Python Course?

            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 Learn Data Science with Python Course?

            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 python course for data science that will take you from beginner to data analyst in Python or data scientist.

            Can I learn a Python Data Science course online?

            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 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 are the instructors for the Python Data Science Course?

            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.

            How long will it take for you to learn Python for Data science?

            It 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 are the Job Opportunities After Completing Data Science with Python Course in Noida?

            Completing a Data Science with Python course in Noida can open up a wide range of job opportunities in various industries such as finance, healthcare, retail, and e-commerce, among others. Here are some of the common job roles that a candidate with a Data Science with Python certification may be eligible for:
            • Data Scientist
            • Data Analyst
            • Machine Learning Engineer
            • Business Intelligence Analyst
            • Data Engineer
            • Big Data Analyst
            • Predictive Modeler
            • Data Mining Engineer
            • Data Visualization Expert
            • AI Engineer
            These job roles can be found in a variety of companies, from startups to large corporations, and offer opportunities to work on complex data problems, create innovative data-driven solutions, and impact business outcomes. With the growing demand for data science professionals, a Data Science with Python certification can be a valuable asset for anyone looking to enter the field and build a successful career.

            What is the cost of a Data Science with Python Course in Noida?

            The cost of a Data Science with Python Course in Noida is INR 19,795

            Can Edureka provide Data Science with Python Training in Noida 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 Noida 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.

            What are the companies hiring Data Scientists in Noida?

            Noida is a hub for many IT and technology companies, and there is a high demand for data science professionals in the city. Here is a list of some of the companies that are known to hire Data Scientists in Noida:
            • Wipro
            • TATA Consultancy Services (TCS)
            • Infosys
            • HCL Technologies
            • Tech Mahindra
            • Accenture
            • IBM
            • Capgemini
            • Genpact
            • Cognizant
            This is by no means an exhaustive list and there are many other companies in Noida that hire Data Scientists. In addition to the big IT companies, there are also many startups and smaller firms that are looking for talented data science professionals to join their teams. Overall, Noida has a vibrant and thriving job market for Data Scientists, and with the right skills and experience, one can expect to have a rewarding career in this field.

            What is the salary for a Data Scientist in Noida?

            The salary for a Data Scientist in Noida can vary depending on a number of factors such as the size and type of the company, the candidate's level of education, experience, and expertise. On average, a Data Scientist in Noida can expect to earn a salary in the range of INR 6-20 lakhs per annum.

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