📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Data Wrangling with Python, from foundations to a certified capstone project.
Outline
What is Data Wrangling? • Why Data Cleaning is Important • Raw Data vs Clean Data • Applications in Data Science and Analytics
Outline
Understanding Datasets: Rows and Columns • Loading Data in Python • Exploring Data Structure • Basic Data Inspection
Outline
Handling Missing Values • Removing Duplicates • Fixing Incorrect Data Formats • Filtering and Selecting Data
Outline
Sorting and Grouping Data • Changing Data Types • Reshaping and Combining Data • Preparing Data for Analysis
Outline
Data Preparation for Analytics and ML • Use Cases in Business and Research • Career Path in Data Science • Mini Practice Exercise
Earn government-registered certification in Data Wrangling with Python
e-Certificate and e-Marksheet issued on successful completion.
