Course Description
QUICK FACTS
Advanced Excel functions and formulas for data manipulation.
Data cleaning and preparation techniques in spreadsheets.
Creating pivot tables and basic lookups.
Writing SQL queries to extract and filter data.
Joining multiple tables and data aggregation.
Using Pandas and NumPy libraries for data analysis.
Automating data cleaning tasks with Python scripts.
Introduction to exploratory data analysis (EDA).
Principles of visual storytelling and data communication.
Connecting multiple data sources to visualization tools.
Designing real-time business insight reports
Probability distributions and hypothesis testing.
Correlation vs. causation in business datasets.
Descriptive and inferential statistics for decision-making.
CAREER GROWTH
Climb the ladder of success with structured role progression.
The most effective project-based immersive learning experience The most effective project-based immersive learning experience The most effective project-based immersive learning experience
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