Mathew K AnalyticsPython for Data Science
A free 38-lesson course. Every lesson has a video walkthrough and a Jupyter notebook you can download or open in Google Colab; 1 lessons include real datasets. Tools covered: NumPy, pandas, Matplotlib, scikit-learn, collections, CSV.
15 minLesson 1
1 - Capstone Project in Python
15 minLesson 2
2 - Git and GitHub Basics for Python Projects
11 minLesson 3
Mastering Virtual Environments in Python for Effective Data Science Projects
9 minLesson 4
4 - Writing Clean Code with PEP 8 in Python
13 minLesson 5
5 - Automating Repetitive Tasks in Python
11 minLesson 6
6 - APIs and Web Scraping in Python
20 minLesson 7
Python and Jupyter Notebooks for Beginners: A Step-by-Step Guide
11 minLesson 10
Master Python Strings: Essential Operations and Methods for Data Science
11 minLesson 24
02 NumPy Indexing: Learn Array Access and Manipulation in Python
12 minLesson 25
Master NumPy Math Operations: Essential Python Techniques for Data Science
15 minLesson 27
Mastering Pandas DataFrames: Essential Techniques for Data Science in Python
13 minLesson 28
06 Reading CSV, Excel, and JSON Files in Python
13 minLesson 29
07 Writing CSV, Excel, and JSON Files in Python
12 minLesson 30
Master Selecting and Filtering Data in Python for Data Science
14 minLesson 31
Date and Time Basics in Python: Essential Skills for Data Science Beginners
16 minLesson 32
10 - Sales Data Analysis in Python: Step-by-Step Tutorial
13 minLesson 33
1 Handling Missing Values in Python for Data Cleaning
15 minLesson 34
How to Clean and Remove Duplicate Data in Python Using Pandas
10 minLesson 35
3 - String Cleaning and Data Type Conversion in Python
14 minLesson 37
5 - Feature Engineering Basics in Python
12 minLesson 38
Mastering DataFrame Merging in Python: Essential Techniques for Data Preparation
11 minLesson 40
8 - Movie Dataset Cleanup in Python: Data Preparation Techniques
15 minLesson 41
1 - Matplotlib- Line, Bar, Scatter, Histogram
12 minLesson 42
2 - Seaborn- Countplot, Boxplot, Heatmap
13 minLesson 43
Master Styling, Annotations & Saving Techniques for Python Data Visualization
12 minLesson 44
4 - Building a Weather Trends Dashboard in Python with Data Visualization
9 minLesson 45
1 - Inspecting Data in Python: Essential Techniques for EDA
16 minLesson 46
Distribution & Relationship Analysis in Python | Exploratory Data Analysis Tutorial
10 minLesson 51
1 Descriptive Statistics in Python for Data Science
1 minLesson 52
2 Probability and Normal Distribution in Python
14 minLesson 53
3 Sampling and Confidence Intervals in Python
12 minLesson 54
4 Hypothesis Testing in Python: Step-by-Step Guide for Data Science
13 minLesson 55
5 - Survey Analysis in Python: Statistical Techniques for Data Science
17 minLesson 56
1 - Supervised vs Unsupervised Learning in Python
15 minLesson 57
2 - Train-Test Split in Python
14 minLesson 58
3 - Regression and Classification in Python
13 minLesson 60
5 - Feature Scaling in Python
11 minLesson 61