Course Content
Week 1 — Data Visualization with Python
Overview — From Analysis to Visualization
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Why Analysts Visualize Data
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Introduction to Matplotlib and Seaborn
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Choose the Correct Chart
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Compare Categories with Bar Charts
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Analyze Trends with Line Charts
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Understand Distributions with Histograms
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Identify Possible Outliers with Box Plots
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Examine Relationships with Scatter Plots
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Customize Titles, Labels, Legends and Colors
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Create Multiple Charts for an Analysis
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Avoid Misleading Visualizations
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Guided Python Visualization Practice
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Week 1 Assignment — Python Visual Analysis
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Week 2 — Power BI Foundations and Visual Analysis
Overview — From Raw Data to Analysis-Ready Data
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Install Power BI Desktop and Set Up the Practice Environment
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Understand the Power BI Desktop Workspace
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Connect Power BI to CSV and Excel Files
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Introduction to Connecting Power BI to SQL
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Open and Understand Power Query Editor
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