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Data Science with Python Training in Hyderabad
Data Science with Python Training in Hyderabad
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Live Online Classes starting on 30th Sep 2023
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Why enroll for Data Science with Python course in Hyderabad?
Data Science with Python Course in Hyderabad
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.
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Why Data Science with Python course from edureka in Hyderabad
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
About your Data Science with Python course
Data Science with Python Skills
- Python Programming
- Statistical Foundations
- Data Analysis and Visualization
- Supervised and Unsupervised Machine Learning
- Database Integration with Python
- Data Visualization Using Tableau
Data Science with Python Tools
Data Science with Python Course Curriculum in Hyderabad
Curriculum Designed by Experts
Edureka's Data Science with Python Training in Hyderabad will offer in-depth training on Python programming. We offer live, instructor-led training sessions to assist you in mastering the basics of Python. In this Edureka's Data Science Python training in Hyderabad, The students will learn the fundamentals of Python programming, such as Data Structure Data Types, Data Types, Tuples lists, Strings essential functions and functions, GUIs, multi-threading, data manipulation, and Expressions as well as networking Lambda expressions, and much more. Furthermore, during this Data Science Python course, you will gain a thorough knowledge of Python concepts such as modules and OOPS, Django framework, Database programming, and the connection to various 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
Hands-on:
- Creating “Hello World” code
- Variables
- Demonstrating Conditional Statements
- Demonstrating Loops
Skills 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
Hands-on:
- Tuple - properties, related operations, compared with the list
- List - properties, related operations
- Dictionary - properties, related operations
- Set - properties, related operations
Skills 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
Hands-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
Skills 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
Hands-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
Skills 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
Hands-on:
- Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining
Skills 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
Hands-on:
- Linear Regression – Boston Dataset
Skills 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?
Hands-on:
- Implementation of Logistic Regression, Decision Tree, Random Forest algorithms
Skills 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
Hands-on:
- Implementing PCA
- Scaling dimensional model
- Implementing LDA
Skills 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
Hands-on:
- Implementation of Naïve Bayes, SVM algorithms
Skills 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?
Hands-on:
- Implementing K-means Clustering
- Implementing Hierarchical Clustering
Skills 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
Hands-on:
- Implementing Apriori Algorithm
- Performing Market Basket Analysis
Skills 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
Hands-on:
- Calculating Reward
- Discounted Reward
- Calculating Optimal quantities
- Implementing Q Learning
- Setting up an Optimal Action
Skills 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
Hands-on:
- Checking Stationarity
- Converting non-stationary data to stationary
- Implementing Dickey-Fuller Test
- Plotting ACF and PACF
- Generating the ARIMA plot
Skills 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
Hands-on:
- Performing Cross Validation
- Implementing AdaBoost using Python
Skills 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
Hands-on:
- Implementing Graphical EDA Techniques
- Implementing Non-Graphical EDA Techniques
Skills 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
Hands-on:
- CRUD operations using Python MySql and MongoDB
Skills 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
Hands-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
Skills 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
Hands-on:
- Analyzing data using techniques including Forecasting, Trend Lines, Reference Lines, Clustering, and Geographic Maps
- Building Dashboard Layout and Formatting
- Building Story points
Skills 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
Hands-on:
- Analyze the data
- Predict the plant species
Skills You will Learn:
- Data Pre-processing
- Feature Engineering
- Implementation of Machine Learning Algorithm
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Data Science with Python training in Hyderabad Description
Edureka offers complete Data Science with Python training in Hyderabad to help you comprehend the basic concepts of concepts, such as writing sequences, scripts, and other procedures involving Python files and understanding the functional applications. Data Science with Python training in Hyderabad is coupled with practical tasks and life projects. Python is a high-level, open-source programming language used to create many applications and games. Web applications address automation and extensive data and data science and data analytics development. It's a highly versatile, object-oriented interpreter, object-oriented, an interpreted language that you can master in this Data Science with Python course in Hyderabad.
Why Learn Python for Data Science in Hyderabad?
Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger. It has evolved as the most preferred Language for Data Analytics and the increasing search trends also indicate that it is the Next Big Thing and a must for Professionals in the Data Analytics domain.
About Data Science with Python Certification Course in Hyderabad
Edureka’s Data Science with Python Certification Training in Hyderabad is designed to make you grasp the concepts of Data Science and Machine Learning. As a data scientist, you will learn the importance of machine learning and its implementation in the Python programming language. You will be able to automate real-life scenarios using machine learning algorithms, and towards the end of this course, we will be discussing various practical use cases of machine learning with the Python programming language to enhance your learning experience. Edureka offers the best Data Science with Python training online for those who want to be the best in Python. Enroll now in Edureka's online Data Science with Python Certification to get trained by industry experts.
What are the objectives of our Data Science with Python Training Course in Hyderabad?
After completing this Data Science using Python Certification course, you will be able to:
Edureka offers the best online course for Python Data Science. Enroll now with our data Science with Python training and get a chance to learn from industrial giants.
Why Learn Data Science using Python?
Python has been one of the premier, flexible, and powerful open-source languages that are easy to learn, easy to use, and powerful libraries for data manipulation and analysis. It has been used for over a decade in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It continues to be a favorite option for data scientists who build and use machine learning applications and other scientific computations. Python cuts development time in half with its simple-to-read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger. It has evolved into the most preferred Language for Data Analytics. The increasing search trends also indicate that it is the Next Big Thing and a must for professionals in the data analytics domain.
Who should go for this Python Data Science online course?
Edureka’s course is a good fit for the below professionals:
What are the objectives of our Data Science with Python Training in Hyderabad?
After completing this Data Science with Python Certification course in Hyderabad, you will be able to:
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.
What are the prerequisites for this Data Science with Python Course in Hyderabad?
The pre-requisites for Edureka's Python Data Science course training in Hyderabad includes the fundamental understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, you will be provided with complimentary “Python Statistics for Data Science” as a self-paced course once you enroll for the Data Science with Python certification course.
Who should go for this Python Data Science and ML online course in Hyderabad?
What are the prerequisites for this Data Science with Python Training in Hyderabad?
The prerequisites for Edureka's Python Data Science and ML course training include the fundamental understanding of Computer Programming Languages.
What is cost of Data Science with Python Course in Hyderabad?
The Data Science with Python course fee in Hyderabad is INR 19,795.
How will I execute the practicals in this online Data Science with Python course in Hyderabad?
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 in Hyderabad Projects
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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.
- 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
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
Yes, we offer a practice test in the Data Science with Python course in Hyderabad to help you prepare for job interviews.
You do not need a coding background to enroll in this Data Science with Python course in Hyderabad. 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.
Right after the completion of this Data Science with Python course in Hyderabad, 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.
Please visit the page which will guide you through the top 100+ Data Science Interview Questions with answers.
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Data Science with Python Training in Hyderabad 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.
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 learn Data Science with Python Course in Hyderabad?
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.
Why should I learn Data Science with Python Course in Hyderabad?
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 Data Science with Python Course in Hyderabad?
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.
Where Can I Learn Python for Data Science in Hyderabad?
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 in Hyderabad 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.
Can I learn a Python for Data Science online in Hyderabad?
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 Hyderabad 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 in Hyderabad?
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.
Who are the instructors for the Python Data Science Course in Hyderabad?
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 to provide an awesome learning experience to the Data Science with Python Course participants in Hyderabad.
What is the Data Science with Python Course in Hyderabad duration?
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 is the salary for a Data Scientist in Hyderabad ?
The salary of a Data Scientist in Hyderabad can vary based on several factors such as experience, skill set, and the company they work for. However, on average, a Data Scientist in Hyderabad 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.
Can Edureka provide Data Science with Python Training in Hyderabad 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 Hyderabad 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 is the Data Science with Python Course in Hyderabad duration?
Data Science with Python Course in Hyderabad 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.
How will I execute practical’s in Edureka's Data Science with Python Certification Course in hyderabad?
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 if I have more queries with regards to Data Science using Python course in Hyderabad?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co
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.
Why is it essential to learn Data Science with Python course in Hyderabad?
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.
What is CloudLab?
CloudLab is a cloud-based Jupyter Notebook which is pre-installed with Python packages on the cloud-lab environment. It is offered by Edureka as a part of the Python Data Science Course where you can execute all the in-class demos and work on real-life projects in a fluent manner. You’ll be able to access the CloudLab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our support ninja team is ready to assist 24x7.
Why is it essential to learn Data Science with Python course in Hyderabad ?
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.
Which kind of projects will be a part of this Data Science with Python Certification Course in Hyderabad?
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 are the companies hiring Data Scientists in Hyderabad?
Hyderabad is a growing hub for technology and IT companies, and many companies in the city are hiring Data Scientists. Some of the well-known companies in Hyderabad that regularly hire Data Scientists include:
- Amazon
- Microsoft
- Wipro
- Infosys
- Tata Consultancy Services (TCS)
- Accenture
- IBM
- Tech Mahindra
- Capgemini
These companies are constantly looking for skilled and talented data scientists to help drive their data-driven decision making and innovation. In addition to these large technology companies, there are also many startups in Hyderabad that are hiring Data Scientists.
Does Edureka provide any free learning resource for Data Science with Python course in Hyderabad ?
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 are the Job Opportunities After Completing Data Science with Python Course in Hyderabad?
Completing a Data Science with Python course in Hyderabad can open up a range of job opportunities in the field of data analysis and machine learning. Some of the common job roles that a data scientist can pursue include:
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Analyst
- Big Data Engineer
- Data Engineer
- Statistician
- Data Architect
These roles typically involve working with large datasets, developing predictive models, and creating visualizations to help organizations make data-driven decisions. Some of the industries that hire Data Scientists include technology, finance, healthcare, retail, and e-commerce. Additionally, many startups and small businesses in Hyderabad are also hiring data scientists to help them harness the power of data to drive their growth.
What type of job can I get after completing a Data Science with Python course in Hyderabad ?
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
What is the cost of a Data Science with Python Course in Hyderabad ?
The cost of a Data Science with Python Course in Hyderabad is INR 19,795.
Which companies will hire me once I become a Python for Data Science professional in Hyderabad ?
Data science has grown by a substantial extent today. Companies in almost every industry are trying to have a data science team to help them use their data for the company’s progress.
Here, we have compiled a list of reputed companies that are currently hiring data scientists.
1. Sigmoid
2. Mindtree
3. LinkedIn
4. Paypal
5. Oracle
6. TCS
7. ZIGRAM
What is the Average Salary of Data scientists across the world?
The average salary for a data scientist in Hyderabad ranged from INR 6 lakhs per annum for entry-level positions to INR 18 lakhs per annum for mid-level positions. Highly experienced data scientists with significant expertise and several years of experience could earn salaries upwards of INR 25 lakhs per annum or more.
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