This course teaches beginners how to perform Data Analysis with Python using tools like NumPy, Pandas, Matplotlib, and Seaborn. The learning outcomes include understanding the data analysis process, data visualization, data cleaning, and reading data from various sources. The course covers skills such as using Jupyter Notebooks, NumPy, Pandas, and Python programming. The teaching method includes tutorials, real-life examples, and exercises. This course is intended for beginners who want to learn data analysis using Python.
Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)
via freeCodeCamp
Overview
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
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Reviews
4.5 rating, based on 2 Class Central reviews
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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.
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Great Course!!!!!
Everything is well explained with simple examples and very helpful for the beginners in Data Analysis with Python.
