Mathew K AnalyticsData visualisation in python
A free 34-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: pandas, Matplotlib, NumPy, seaborn, Plotly, statsmodels.
12 minLesson 3
How to Set Up Python and Jupyter Notebook for Data Visualization Beginners
11 minLesson 4
Understanding NumPy Arrays and Random Data Generation for Data Analysis in Python
14 minLesson 6
Master Data Cleaning and Preparation with Pandas in Python for Effective Bible Study Analysis
14 minLesson 8
Introduction to Matplotlib: Creating and Customizing Line and Bar Plots in Python
15 minLesson 9
How to Create and Customize Scatter Plots and Histograms in Matplotlib
12 minLesson 10
How to Customize Titles, Labels, and Legends in Matplotlib for Clearer Data Visualization
14 minLesson 11
Mastering Subplots and Multiple Axes in Matplotlib for Effective Data Visualization
15 minLesson 12
Enhancing Matplotlib Plots: Mastering Colors, Markers, and Line Styles in Python
15 minLesson 13
How to Save and Export High-Quality Matplotlib Plots for Publication and Presentation
10 minLesson 14
Introduction to Seaborn for Data Visualization with Built-in Python Datasets
11 minLesson 15
Understanding Distribution Plots in Python: Histogram, KDE, Violin, and Box Plots Explained
11 minLesson 16
Visualizing Categorical Data in Python with Seaborn: Bar, Count, and Swarm Plots
14 minLesson 17
Understanding Relationship Plots in Seaborn: Scatter, Regression, and Pairplot Explained
13 minLesson 18
Understanding Heatmaps and Correlation Matrices with Seaborn for Data Analysis
10 minLesson 19
Mastering Custom Themes and Aesthetics in Seaborn for Clear Data Visualization
14 minLesson 20
How to Use Annotations and Highlights to Enhance Data Visualization in Plots
12 minLesson 21
Master Customizing Axes in Python: Ticks, Scales & Logarithmic Transformations
11 minLesson 22
Creating Interactive Dashboards by Combining Multiple Plots for Effective Data Visualization
12 minLesson 23
Best Practices for Data Storytelling Using Visuals in Bible Teaching | Week 07–08
10 minLesson 24
Introduction to Plotly: Creating Interactive Charts with Python
11 minLesson 25
Creating Interactive Scatter, Line, and Bar Charts with Plotly in Python
14 minLesson 27
Interactive Data Filtering in Bokeh: Building Dynamic Visualizations with Python
10 minLesson 29
Introduction to GeoPandas: Working with Shapefiles and Geospatial Maps in Python
13 minLesson 30
Creating Interactive Choropleth Maps with Plotly for Python Geospatial Visualization
14 minLesson 31
3 - Interactive Maps with Folium
14 minLesson 32
Geospatial Analysis Case Study: Mapping and Visualizing Real-World Location Data
15 minLesson 36
4 - Advanced Dash - Layouts, Callbacks, Hosting
10 minLesson 37
Visualizing Network Graphs with NetworkX and PyVis in Python
14 minLesson 38
Time Series Visualization Techniques Using Matplotlib and Plotly in Python
14 minLesson 40
Creating 3D and Animated Data Visualizations in Python with Matplotlib and Plotly
11 minLesson 41
Master Visual Design Principles for Effective Communication in Python Data Visualization
10 minLesson 42
2 - Case Study Project - Sales and Marketing Dashboard
9 minLesson 43
Climate Data Analysis & Geospatial Visualization: Expert Case Study Techniques
13 minLesson 44