Data Analysis

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Data Collection and Cleaning

Sources of Data, Basics of Data Cleaning, Dealing with Missing or Incomplete Data.

Exploratory Data Analysis (EDA)

LEVEL: INTERMEDIATE
LEVEL: INTERMEDIATE

Statistical Analysis

Probability Distributions, Hypothesis Testing, Correlation Analysis.

Data Analysis Tools

Introduction to Excel for Data Analysis, Introduction to SQL for Data Retrieval, Introduction to R/Python for Data Analysis.

Intermediate Data Visualization

Advanced Chart Types, Interactive Visualizations, Dashboard Design Principles.

LEVEL: ADVANCE
LEVEL: ADVANCE

Advanced Analytical Techniques

Regression Analysis, Time Series Analysis, Predictive Modeling.

Communicating Data Insights

Storytelling with Data, Effective Data Presentation, Decision Making with Data.