Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding with 10 Exams
Crafted by humans, supported by AI and rigorously edited to ensure quality. Data can be overwhelming—but with Python, you can turn complexity into clarity.
01
Skill level
All levels
02
Sections
7
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Lectures
43
04
Instructor
Team Mammoth
What's inside
This course includes.
✓
7
Sections
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32
Quizzes
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Section 1: Getting Oriented 4 lectures Preview
Lecture 1.01: Welcome and Course Overview
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Lecture 1.02: Why Python for Data Analysis?
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Lecture 1.03: Setting Up Python and Jupyter
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Lecture 1.04: Navigating the Jupyter Notebook
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+ Section 2: Python Essentials for Analysts 8 lectures
Lecture 2.01: Python Syntax and Basic Data Types
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Lecture 2.02: Working with Strings
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Lecture 2.03: Lists and Indexing
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Lecture 2.04: Dictionaries: Key-Value Data
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Lecture 2.05: Conditional Logic (If Statements)
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Lecture 2.06: Loops for Repetition
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Lecture 2.07: Writing and Using Functions
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Lecture 2.08: Importing Modules and Libraries
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+ Section 3: Pandas and DataFrames 6 lectures
Lecture 3.01: Introduction to Pandas and DataFrames
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Lecture 3.02: Loading Data from Files
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Lecture 3.03: Inspecting DataFrame Structure
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Lecture 3.04: Selecting Columns and Rows
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Lecture 3.05: Filtering Data by Condition
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Lecture 3.06: Creating and Transforming Columns
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+ Section 4: Cleaning & Preparing Data 6 lectures
Lecture 4.01: Handling Missing Data
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Lecture 4.02: Handling Duplicates
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Lecture 4.03: Data Type Conversion and Fixes
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Lecture 4.04: Cleaning Text Data in Columns
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Lecture 4.05: Merging DataFrames (Joining Datasets)
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Lecture 4.06: Appending and Concatenating DataFrames
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+ Section 5: Exploring Data 5 lectures
Lecture 5.01: Descriptive Statistics and Summary Metrics
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Lecture 5.02: Grouping Data for Aggregation
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Lecture 5.03: Pivot Tables for Multi-Dimensional Analysis
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Lecture 5.04: Sorting and Ranking Data
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Lecture 5.05: Working with Date and Time Data
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+ Section 6: Data Visualization 7 lectures
Lecture 6.01: Introduction to Data Visualization in Python
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Lecture 6.02: Creating Bar Charts
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Lecture 6.03: Creating Line Charts
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Lecture 6.04: Creating Scatter Plots
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Lecture 6.05: Plotting Distributions with Histograms
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Lecture 6.06: Customizing and Saving Your Plots
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Lecture 6.07: Choosing the Right Chart for Your Data
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+ Section 7: Applied Case Studies 7 lectures
Lecture 7.01: Case Study 1 – Introducing the Survey Dataset
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Lecture 7.02: Cleaning and Preparing Survey Data
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Lecture 7.03: Analyzing Survey Results
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Lecture 7.04: Case Study 2 – Sales Data from Multiple Sources
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Lecture 7.05: Merging and Cleaning Sales Data
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Lecture 7.06: Analyzing and Visualizing Sales Performance
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Lecture 7.07: Next Steps
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Description
About this course.
Designed for beginners, this course introduces you to Python’s most powerful tools for analysis and visualization, guiding you through hands-on exercises that make concepts easy to grasp—even if you’ve never coded before.
✅ Use Pandas and NumPy to clean, transform, and manipulate data
✅ Explore datasets to uncover meaningful trends and relationships
✅ Build charts and visualizations that highlight insights
✅ Reinforce every concept with 10 structured exams for mastery
Instead of memorizing syntax, you’ll learn workflows you can apply immediately in research, business, or personal projects.
🎁 A practical entry point for anyone ready to transform raw data into knowledge.
Bundled items.
10 courses
Exam 10 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Exam 1 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Exam 2 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Exam 3 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Exam 4 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Exam 5 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Exam 6 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Exam 7 - Python for Data Analysis – Manipulate, Analyze, and Visualize Without Prior Coding
Free
Ready to start building?
Crafted by humans, supported by AI and rigorously edited to ensure quality. Data can be overwhelming—but with Python, you can turn complexity into clarity.