Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)

via freeCodeCamp

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Embark on a comprehensive 4-5 hour journey into data analysis with Python, designed for beginners. Explore the entire data analysis process, from reading data from various sources like CSVs, SQL, and Excel to processing it with NumPy and Pandas. Learn to visualize data using Matplotlib and Seaborn, and master data cleaning techniques for creating insightful reports. Dive into a thorough Jupyter Notebook tutorial and refresh your Python skills with a quick reference guide. Gain hands-on experience through practical exercises and real-life examples, covering topics such as introduction to data analysis, NumPy fundamentals, Pandas essentials, data cleaning strategies, and reading data from diverse sources. By the end of this course, you'll have the skills to tackle data analysis projects using powerful, open-source Python libraries.

Syllabus

⌨️ Part 2: Real Life Example of a Python/Pandas Data Analysis project
⌨️ Part 3: Jupyter Notebooks Tutorial
⌨️ Part 4: Intro to NumPy
⌨️ Part 5: Intro to Pandas
⌨️ Part 6: Data Cleaning
⌨️ Part 7: Reading Data from other sources
⌨️ Part 8: Python Recap

Taught by

freeCodeCamp.org

Reviews

4.6 rating, based on 14 Class Central reviews

Start your review of Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)

Anonymous

This is a compressed, general educational pack for python especially Numpy and Pandas and this is good for having a good glance when you are still in the initial phase of you learning python. Thank you. good luck
Haritha Nagarajan

The course on NumPy and Basic Libraries was very helpful in understanding the fundamentals of Python libraries used for data analysis. It explained important concepts such as arrays, indexing, operations on arrays, and basic numerical computations in a clear and structured way.

The examples and demonstrations made it easier to understand how NumPy works in real programming situations. Learning about these libraries also helped in improving problem-solving skills and gave a good foundation for further topics like data science and machine learning.

Overall, the course was well organized, easy to follow, and very useful for beginners who want to learn Python libraries for scientific computing.
SUBHAHANA BARISH SHAIK

This course is an excellent introduction to data analysis using Python. It covers important libraries like NumPy, Pandas, Matplotlib, and Seaborn in a clear and structured way. The explanations are simple and easy to follow, making it perfect for beginners. The instructor provides practical examples that help in understanding how to apply these tools in real-world situations. I especially liked the hands-on approach and the focus on data visualization. However, a few more exercises or projects would make it even better. Overall, it's a very informative and well-organized course for anyone starting in data analysis with Python.
Naga Phani

IT IS VERY USEFUL. I GAINED LOT OF KNOWLEDGE WHILE LEARNING IN THIS PLATFORM, THEY EXPLAINED IT CLEARLY FROM THE BASICS.
Priyanshu Prajapati

I recently completed the "Data Analysis with Python - Full Course for Beginners" by freeCodeCamp, and I must say, it’s an amazing resource for anyone looking to get started with data analysis! 🔹 What I Loved: ✔ Comprehensive Content – Covers all th…

I recently completed the "Data Analysis with Python - Full Course for Beginners" by freeCodeCamp, and I must say, it’s an amazing resource for anyone looking to get started with data analysis!

🔹 What I Loved:
✔ Comprehensive Content – Covers all the essential libraries: NumPy, Pandas, Matplotlib, and Seaborn.
✔ Beginner-Friendly – The explanations are clear, making it easy to follow even for those with little prior experience.
✔ Hands-on Learning – Plenty of real-world examples and exercises to reinforce concepts.
✔ Free & High Quality – The fact that such a well-structured course is available for free is incredible!

🔹 Who Should Take This Course?
✅ Beginners in Python who want to explore data analysis.
✅ Students and professionals looking to build a strong foundation in data manipulation and visualization.
✅ Anyone aiming to use Python for data science and analytics.

Overall, I highly recommend this course to anyone interested in data analysis. FreeCodeCamp has done a fantastic job once again! 🚀

Would love to see more advanced topics covered in a follow-up course! 😊
Samruddhi Patil
2

Great Course!!!!!
Everything is well explained with simple examples and very helpful for the beginners in Data Analysis with Python.
Kishore Kumar Prasadam

good explaination and its is a very useful to students for learning course and i have learn numpy and pandas and matplotib and seaborn in the data analysis with python
Ravindra Gunda
1

The course is suitable for anyone who wants to learn or improve their data analysis skills using Python. You don’t need to have any prior experience with NumPy or Pandas, but you should have some basic knowledge of Python programming and mathematics. The course is well-structured and easy to follow.
Qamar Nasir

it is very informative course for beginners. i learned a lot about Numpy how to use array in python and i also learned about the matplotlib which i used to dram a plot to show my prograss like a plot. after that i learned about pandas. It provides data structures like Series (for one-dimensional data) and DataFrame (for two-dimensional data), making it easy to work with structured data.
Anonymous

perfect than you guys it was truly amazing all the stuff i learned from here eventhough i just cam here to refresh my mind
Mohammad Samad

Great course I liked this course very much very helpful for data visualization with python and all
And one of the best thing of this code is that it is explained in crystal clear way so students are capable of understanding
Marwa Hamdan

so interesting course full of important details. It is so clear and flexible. Thank you for every single information.
MD. ARFANUL HAQUE

FreeCodeCamp's Data Analysis with Python course is a valuable resource for beginners looking to acquire the skills necessary to work with data using Python. The clear explanations, hands-on exercises, and comprehensive coverage make it an excellent starting point for individuals interested in pursuing a career in data science or data analysis.
Hardik Gediya

It’s amazing course for whoever want to enhance their knowledge in python language with analytical perception.