|
Module |
Topics Covered |
|
Foundations of Data Analytics |
· Introduction to Data Analytics · Data Types and Data Collection · Introduction to Excel for Data Analysis · Introduction to Python for Data Analysis · Basic Statistical Concepts · Hypothesis Testing |
|
Data Handling, Cleaning & Exploration |
· Data Manipulation with Python · Data Cleaning Techniques · Data Exploration with Pandas · Exploratory Data Analysis (EDA) · Data Cleaning and Preprocessing for the Project |
|
Data Visualization & Reporting |
· Data Visualization with Matplotlib and Seaborn · Introduction to Data Visualization with Tableau · Advanced Excel Techniques · Data Analysis and Visualization for the Project |
|
SQL & Machine Learning Essentials |
· Introduction to SQL · SQL for Data Analysis · Introduction to Machine Learning · Modeling and Interpretation |
|
Advanced Concepts & Project |
· Advanced Python for Data Analysis · Big Data Overview · Data Ethics and Governance · Project Planning and Setup · Project Work and Review · Final Review and Q&A |
1 Subject
62 Learning Materials
86 Courses • 39927 Students
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