Hey there! Are you looking to learn Data Analysis?
Here are some excellent short & concise playlists to follow.
Topics covered:
🐍 0. Python:
Want to brush up your python skills right from the fundamentals? This playlist will do the job -
Python Programming Beginner Tutorials - Corey Schafer
🔢 1. NumPy:
This is a 1-hour video covering concepts like arrays, indexing, math, statistics, reshaping, and more.
Python NumPy Tutorial - Freecodecamp
🧮 2. Pandas:
One of the most widely used library to analyse data, this playlist covers everything you need to know -
Pandas Tutorials - Corey Schafer
📊 3. Matplotlib:
Now that you know how to analyze data, it's time to create beautiful plots for visualization -
Matplotlib Tutorials - Corey Schafer
📈 4. Seaborn:
Built up on matplotlib, Seaborn takes a level-up and makes it easier to work with dataframes and make more descriptive plots-
Seaborn Tutorial - Derek Banas
🧙 5. Plotly:
Want to level-up your plotting games and make interactive, animated plots? Learn Plotly -
🏗️ Data Analysis Projects:
Woosh, you now know the data analysis libraries, it's time to make some projects, right?
That's all for this one! Thanks for reading :)
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