Dealing with missing or inconsistent data
Data transformation and normalization
Tools: Excel, Python (Pandas), R
Module 4: Exploratory Data Analysis (EDA)
Descriptive statistics: Mean, median, mode, standard deviation
Data profiling
Discovery of trends and patterns
Visualization tools: Matplotlib, Seaborn, Tableau, Power BI
Module 5: Data Visualization & Communication
Best practices for visual storytelling
Visualizations: Bar charts, histograms, scatter plots, dashboards
Making reports and dashboards
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