In today’s data-driven world, data visualization is a critical skill for every aspiring data scientist. While data manipulation and wrangling are essential, the ability to effectively visualize and interpret data is what turns raw information into actionable insights.
This comprehensive course is designed to provide you with the practical skills needed to create meaningful and impactful visualizations using Python. Starting with the fundamentals of Python programming, you'll be introduced to powerful libraries such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and Folium.
You’ll also gain hands-on experience in:
Data preparation and manipulation techniques
Building a wide range of plots and interactive visualizations
Mapping geographical data using Folium
Completing practical mini-projects in every module to reinforce your learning
With its structured approach and in-depth content, this course is one of the most comprehensive resources for mastering data visualization in Python.
Who Should Take This Course?
This course is ideal for:
Beginners with no prior programming experience
Aspiring data analysts and data scientists
Anyone looking to enhance their data storytelling and visualization skills using Python
Whether you're just starting your journey or looking to sharpen your skills, this course equips you with the tools and confidence to visualize data effectively and drive insights.
Course Curriculum
Introduction to the Course
About the Tutor and AI Sciences
Introduction to Instructor
Focus of the Course
Content of the Course
Strings in Python
Introduction to Strings
Multi-Line Strings
Indexing Strings
Indexing Strings Quiz
Indexing Strings Solution
String Methods
String Methods Quiz
String Methods Solution
String Escape Sequences
String Escape Sequences Quiz
String Escape Sequences Solution
Python Data Structure
Introduction to Data Structure
Data Structures - Defining and Indexing
Data Structures - Insertion and Deletion
Data Structures-Insertion and Deletion Quiz
Data Structures-Insertion and Deletion Solution
Data Structures - Insertion and Deletion Python Practice
Data Structures-Insertion and Deletion Python Practice Quiz
Data Structures insertion And Deletion python Practice Solution
Data Structures - Deep Copy or Reference and Slicing
Data Structures-Deep Copy or Reference and Slicing Quiz
Data Structures-Deep Copy or Reference and Slicing Solution
Data Structures - Exploring Methods Using TAB Completion
Data Structures - Abstract Ways
Data Structures - Problem Solving Practice
Data Structures Problem Solving Practice Quiz
Data Structures-Problem Solving Practice Solution
NumPy for Numerical Data Processing
Introduction to NumPy
NumPy Dimensions
NumPy Shape, Size, and Bytes
NumPy Arange and Random Package
NumPy Arange and Random Package Quiz
NumPy Arange and Random Package Solution
NumPy Random and Reshape
NumPy Slicing Combined
NumPy Slicing Combined Quiz
NumPy Slicing Combined Solution
NumPy Masking
NumPy Masking Quiz
NumPy Masking Solution
NumPy Broadcasting and Concatenation
NumPy Ufuncs and SpeedTest
Ufuncs Add, Sum, and Plus Operators
Ufuncs Subtract Power Mod
Ufuncs Comparisons Logical Operators
Ufuncs Comparisons Logical Operators Quiz
Ufuncs Comparisons Logical Operators Solution
Ufuncs Output Argument
NumPy Playing with Images
NumPy Playing With Images Quiz
NumPy Playing With Images Solution
NumPy KNN Classifier from Scratch
NumPy Structured Arrays
NumPy Structured Arrays Quiz
NumPy Structured Arrays Solution
Pandas for Data Manipulation and Understanding
Introduction to Pandas
Pandas Series
Pandas DataFrame
Pandas DataFrame Quiz
Pandas DataFrame Solution
Pandas Missing Values
Pandas loc and Iloc
Pandas in Practice
Pandas Group By
Pandas Group By Quiz
Pandas Group By Solution
Hierarchical Indexing
Pandas Rolling
Pandas Rolling Quiz
Pandas Rolling Solution
Pandas Where
Pandas Clip
Pandas Clip Quiz
Pandas Clip Solution
Pandas Merge
Pandas Merge Quiz
Pandas Merge Solution
Pandas Pivot Table
Pandas Strings
Pandas DateTime
Pandas Hands-On COVID-19 Data
Pandas Hands-On COVID-19 Data Bug Fixed
Matplotlib for Data Visualization
Introduction to Matplotlib
Matplotlib Multiple Plots
Matplotlib Colors and Styles
Matplotlib Colors and Styles Quiz
Matplotlib Colors and Styles Solution
Matplotlib Colors and Styles Shortcuts
Matplotlib Axis Limits
Matplotlib Axis Limits Quiz
Matplotlib Axis Limits Solution
Matplotlib Legends Labels
Matplotlib Set Function
Matplotlib Set Function Quiz
Matplotlib Set Function Solution
Matplotlib Markers
Matplotlib Markers Random Plots
Matplotlib Scatter Plot
Matplotlib Contour Plot
Matplotlib Contour Plot Quiz
Matplotlib Contour Plot Solution
Matplotlib Histograms
Matplotlib Subplots
Matplotlib Subplots Quiz
Matplotlib Subplots Solution
Matplotlib 3D Introduction
Matplotlib 3D Scatter Plots
Matplotlib 3D Scatter Plot Quiz
Matplotlib 3D Scatter Plot Solution
Matplotlib 3D Surface Plots
Seaborn for Data Visualization
Introduction to Seaborn
Seaborn Relplot
Seaborn Relplot Quiz
Seaborn Relplot Solution
Seaborn Relplot Kind Line
Seaborn Relplot Facets
Seaborn Relplot Facets Quiz
Seaborn Relplot Facets Solution
Seaborn Catplot
Seaborn Heatmaps
Bokeh for Interactive Plotting
Introduction to Bokeh
Bokeh Multiplots Markers
Bokeh Multiplots Grid Plot
Bokeh Multiplots Grid Plot Quiz
Bokeh Multiplots Grid Plot Solution
Plotly for 3D Interactive Plotting
Plotly 3D Interactive Scatter Plot
Plotly 3D Interactive Scatter Plot Quiz
Plotly 3D Interactive Scatter Plot Solution
Plotly 3D Interactive Surface Plot
Plotly 3D Interactive Surface Plot Quiz
Plotly 3D Interactive Surface Plot Solution
Geographic Maps with Folium
Geographic Maps with Folium Using COVID-19 Data
Geographic Maps with Folium Using COVID-19 Data Quiz
Geographic Maps with Folium Using COVID-19 Data Solution