Mathew K AnalyticsSocial Media Content Analytics
A free 41-lesson course. Every lesson has a video walkthrough and a Jupyter notebook you can download or open in Google Colab; 2 lessons include real datasets. Tools covered: pandas, NumPy, Matplotlib, pathlib, YouTube Data API, seaborn.
28 minLesson 1
Introduction to Social Media and Content Analytics
20 minLesson 2
Understanding Social Media Platforms and Metrics
25 minLesson 3
Types of Social Media Data: Views, Likes, CTR, and Watch Time
24 minLesson 4
Social Media Analytics Workflow Using Python
30 minLesson 5
Setting Up Python and Jupyter for Social Media Analytics
29 minLesson 6
Python Basics for Social Media Data Analysis
25 minLesson 7
Working with Lists, Dictionaries, and Functions for Social Media Content Analytics
21 minLesson 8
Numerical Analysis with NumPy for Engagement Data
31 minLesson 10
Loading Social Media Data from CSV and APIs
30 minLesson 12
Understanding Video Metadata: Title, Tags, Category
30 minLesson 14
Watch Time and Retention Data Explained
26 minLesson 16
Identifying Missing and Inconsistent Social Media Data
23 minLesson 18
Handling Duplicate Content Records in Social Media Analytics
26 minLesson 19
Encoding Categorical Variables in Social Media Data
27 minLesson 22
Analyzing Views and Watch Time Distribution
25 minLesson 23
Engagement Rate Analysis: Likes, Comments, Shares
24 minLesson 24
Visualizing Content Performance
23 minLesson 25
Interpreting Content Trends and Patterns
28 minLesson 26
Introduction to Audience Analytics
29 minLesson 27
Analyzing Audience Behavior and Engagement Patterns
24 minLesson 30
Sentiment Analysis on Social Media Comments
31 minLesson 31
Identifying Top-Performing Content in Social Media Analytics
24 minLesson 34
Analyzing Content Categories and Niches
23 minLesson 35
Detecting High-Impact Content Features
25 minLesson 36
Understanding Click-Through Rate (CTR) in Social Media and Content Analytics
27 minLesson 37
Thumbnail and Title Performance Analysis
29 minLesson 40
Designing Data-Driven Content Strategies
29 minLesson 41
Introduction to Social Media APIs
26 minLesson 42
Extracting Data Using the YouTube Data API
29 minLesson 44
Scheduling Data Updates with Python
32 minLesson 45
Building Automated Content Analytics Systems
29 minLesson 47
Analyzing Growth in Views and Subscribers
31 minLesson 48
Detecting Viral Spikes and Trends in Social Media Data
30 minLesson 51
Introduction to Machine Learning for Social Media
21 minLesson 54
Feature Importance for Engagement Prediction
32 minLesson 56
Turning Social Media Data into Insights
26 minLesson 57
Designing Content Analytics Dashboards
31 minLesson 58
Data Storytelling for Content Creators
29 minLesson 59
Best Practices for Visualizing Engagement Data
28 minLesson 61
End-to-End YouTube Analytics Project
24 minLesson 62