📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Data Analysis with Pandas, from foundations to a certified capstone project.
Outline
What is Pandas? • Why Pandas is Used in Data Science • Introduction to DataFrames and Series • Applications of Data Analysis
Outline
Loading Data from Files: CSV and Excel • Understanding Rows and Columns • Selecting and Filtering Data • Basic Data Exploration
Outline
Handling Missing Values • Removing Duplicates • Data Transformation Basics • Preparing Data for Analysis
Outline
Grouping and Aggregation • Sorting and Summarizing Data • Basic Statistical Analysis • Identifying Trends and Patterns
Outline
Using Pandas in Real-World Projects • Data Analysis in Business and Research • Introduction to Visualization and ML • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Data Analysis with Pandas
e-Certificate and e-Marksheet issued on successful completion.
