Learn Python for Data Analytics Online: Free Course with AI Tutor & Certificate
This free python for data analysis course offers optional paid certification. In about 1 hour across 52 lessons, you'll learn how to process information effectively. You will start with Python Basics and progress to Data Visualization with Matplotlib and Seaborn, building skills to analyze datasets.
Python for Data Analytics course syllabus
01 Python Basics
- Introduction to Python
- Variables and Data Types
- Operators and Expressions
- Control Flow and Loops
02 Python Environment Setup and IDEs
- Installing Python and Setting up Environment
- Introduction to IDEs for Python
- Configuring and Using Jupyter Notebook
- Using Integrated Development Environments (IDEs)
03 Lists, Dictionaries, and Arrays
- Introduction to Lists and List Operations
- Working with Dictionaries
- Arrays and Array Operations
- List Comprehensions and Array Manipulation
04 File Handling and Data Import/Export
- Reading and Writing Files in Python
- Working with CSV and Excel Files
- Data Import and Export using Pandas
- Handling JSON and XML Data in Python
05 Basic Scripting for Automation
- Introduction to Scripting and Automation
- Automating File Operations
- Scripting for Data Processing
- Error Handling and Exception in Python
06 Data Analysis with Python
- Introduction to Data Analysis
- Data Exploration and Preprocessing
- Statistical Analysis with Python
- Data Analysis Case Studies
07 Introduction to Pandas and NumPy
- Pandas Data Structures: Series and DataFrames
- Data Manipulation with Pandas
- Introduction to NumPy Arrays
- Array Operations and Manipulation
08 Data Cleaning, Manipulation, and Merging
- Data Cleaning Techniques
- Data Transformation and Manipulation
- Merging and Joining DataFrames
- Handling Missing Data and Duplicates
09 Descriptive Statistics and Exploratory Data Analysis (EDA)
- Descriptive Statistics Measures
- Exploratory Data Analysis Techniques
- Data Distribution and Visualization
- Correlation and Covariance Analysis
10 Data Visualization with Matplotlib and Seaborn
- 1 Introduction to Data Visualization
- 1.1 Importance of Data Visualization|Learn about the importance of data visualization in communicating data insights effectively.
- 1.2 Overview of Python Visualization Libraries|Understand the landscape of Python visualization libraries, including Matplotlib and Seaborn.
- 1.3 Principles of Effective Visualizations|Explore the principles of creating effective visualizations that are clear, accurate, and engaging.
- 2 Plotting with Matplotlib
- 2.1 Basic Plotting with Matplotlib|Learn the basics of creating plots with Matplotlib, including line plots, scatter plots, and bar charts.
- 2.2 Customizing Plots|Understand how to customize plots with labels, legends, and colors to improve their readability and aesthetics.
- 2.3 Multi-plot Configurations|Explore how to create multi-plot configurations and subplots for comparing multiple visualizations side by side.
- 3 Customizing Plots and Visualizations
- 3.1 Advanced Plot Customization|Learn about advanced customization options in Matplotlib, such as custom tick labels and annotations.
- 3.2 Interactive Visualizations|Understand how to create interactive visualizations with Matplotlib that allow users to explore data dynamically.
- 3.3 Theming and Styles|Explore the use of themes and styles in Matplotlib to create visually consistent and appealing plots.
- 4 Advanced Visualization with Seaborn
- 4.1 Seaborn vs. Matplotlib|Learn about the differences between Seaborn and Matplotlib and when to use each library.
- 4.2 Statistical Plotting with Seaborn|Understand how to create statistical plots with Seaborn, such as distribution plots and pair plots.
- 4.3 Customizing Seaborn Plots|Explore the customization options available in Seaborn for enhancing the visual appeal and clarity of plots.
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Python for Data Analytics course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Beginners wanting to learn Python for data analytics from scratch.
- Business professionals who need to automate data reporting tasks.
- College students in India building a portfolio for analyst roles.
- Excel users looking to upgrade their data manipulation skills.
Prerequisites
- No prior programming experience is required to start this course.
- A computer with internet access to install Python and necessary IDEs.
- Basic familiarity with high school level mathematics is helpful.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Python for Data Analytics course: free, structured and job-focused
This free python data analytics course lets you learn at your own pace, with an optional paid certificate available when you finish. You'll start right from the very first lesson, Introduction to Python, and quickly move into practical applications. The curriculum spans 10 modules covering everything a beginner needs to know. You will explore Python Environment Setup and IDEs, then master Lists, Dictionaries, and Arrays. From there, the training moves into File Handling and Data Import/Export, alongside Basic Scripting for Automation.
As you progress through the 52 video lessons, the focus shifts to real-world data processing. You'll tackle Data Analysis with Python and get a solid Introduction to Pandas and NumPy. The later sections cover Data Cleaning, Manipulation, and Merging, followed by Descriptive Statistics and Exploratory Data Analysis (EDA). Finally, you will bring your findings to life in the Data Visualization with Matplotlib and Seaborn module.
LearnTube makes mastering these skills simple and effective. The platform pairs highly curated YouTube video lessons with an interactive AI tutor. After every single video, the AI generates a quick quiz to test your understanding and keep you on track. You get the structure of a premium learning platform entirely for free, joining over 60,000 learners. If you want to prove your new skills to employers, you can grab the optional paid certificate at the end.
Jobs you can target after learning Python for Data Analytics
Python for Data Analytics is a gateway skill for some of the fastest-growing roles in tech.
Analyzes datasets to help companies make better business decisions.
Writes scripts to automate processes and manage data pipelines.
Uses data insights to improve organizational efficiency and strategy.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Python for Data Analytics certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Python for Data Analytics course.
What software do I need to install for this python data analytics course?
You will need to install Python and a code editor like VS Code or Jupyter Notebook. The second module covers environment setup and IDEs, guiding you through the entire installation process step by step.
Do I need prior coding experience to take this training?
No prior coding experience is required. The curriculum begins with Python Basics and an introductory lesson. It is designed for complete beginners who want to learn data analysis using Python from the ground up.
What job roles can I apply for after learning these skills?
You can target roles like Junior Data Analyst, Business Analyst, or Python Developer. Entry-level data analyst salaries in India typically range from ₹3.5 to ₹6.0 LPA, depending on the company and your project portfolio.
Is this data analytics with Python course self-paced?
Yes, the entire program is completely self-paced. You can watch the 52 video lessons and take the AI quizzes on your own schedule, making it easy to learn while working or attending college.
Can I watch the video lessons on my mobile phone?
Yes, you can access all the curated video lessons and AI quizzes directly from your mobile device. However, you will need a computer to actually write code and practice the data manipulation techniques.
Is the certificate included for free?
The learning content and AI quizzes are completely free. The verified certificate is an optional paid add-on you can purchase after completing all 10 modules to add to your resume or LinkedIn profile.
What libraries will I learn to use?
You will learn the most popular industry libraries for data processing. The modules specifically cover Pandas and NumPy for data manipulation, along with Matplotlib and Seaborn for creating visual charts and graphs.
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