Introduction to EDA, Descriptive Statistics, and Data Visualization Basics.
Sources of Data, Basics of Data Cleaning, Dealing with Missing or Incomplete Data.
Introduction to EDA, Descriptive Statistics, and Data Visualization Basics.
Probability Distributions, Hypothesis Testing, Correlation Analysis.
Introduction to Excel for Data Analysis, Introduction to SQL for Data Retrieval, Introduction to R/Python for Data Analysis.
Advanced Chart Types, Interactive Visualizations, Dashboard Design Principles.
Regression Analysis, Time Series Analysis, Predictive Modeling.
Storytelling with Data, Effective Data Presentation, Decision Making with Data.