A beginner-friendly information science course overlaying Excel, Python, Tableau, and statistics with real-world initiatives.
What you’ll be taught
Analyze and visualize information in Excel utilizing pivot tables and charts.
Write Python scripts for information manipulation with Pandas and NumPy.
Carry out statistical evaluation and speculation testing with ease.
Create interactive dashboards and visualizations in Tableau.
Clear, arrange, and put together datasets for evaluation.
Perceive key statistical ideas for data-driven choices.
Use Python libraries like Matplotlib and Seaborn for visualization.
Combine Excel, Python, and Tableau for seamless information workflows.
Apply real-world information evaluation methods to initiatives.
Construct confidence as an information science skilled from scratch.
English
language
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