Data Analysis with Python - Full Beginner Course 2023 (Pandas, Matplotlib, Numpy, Sklearn)
Learn Data Analysis in Python in this comprehensive course. Learn libraries like Pandas, Matplotlib, Numpy, and Sklearn.
This video is part of an 8-part course designed to give absolute beginners an idea of what Data Analysis looks like using Python.
What is Data Analysis? Data Analysis is the process of exploring, cleaning, transforming, and modeling data as a way to produce insightful conclusions or gather useful information. It is a field that is growing rapidly, along with Data Science, and one that is very high in demand. If you’re interested in taking that career route, or maybe just want to learn it as a skill, this course is for you!
Notebooks (In order)
Ep 1: https://colab.research.google.com/dri...
Ep 2: https://colab.research.google.com/dri...
Ep 3: https://colab.research.google.com/dri...
Ep 5: https://colab.research.google.com/dri...
Ep 6: https://colab.research.google.com/dri...
Ep 7: https://colab.research.google.com/dri...
Ep 8: https://colab.research.google.com/dri...
Documentation:
Pandas: https://pandas.pydata.org/docs/
Matplotlib: https://matplotlib.org/stable/index.html
AI Global Index (Used for majority of series): https://www.kaggle.com/datasets/kater...
Timestamps:
0:00 - Intro
4:51 - Dataframes/datasets
20:30 - Data Exploration
49:08 - Data Cleaning
1:13:41 - Data Visualization
1:39:43 - Stat Functions & Correlation
1:57:24 - Linear Regressions
2:23:10 - Example Project
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