About Course
Master the complete data analysis workflow using Python — from importing and cleaning data all the way to deep analysis and stunning visualizations.
This beginner-friendly, hands-on course takes you step-by-step through the essential tools every data analyst needs, using real datasets and practical examples inside Jupyter Notebook.
You will start with the basics of Python and Jupyter, then learn how to import data, clean it, analyze it using statistics and grouping techniques, and finally visualize your insights with different chart types.
By the end of the course, you will have a solid foundation in Python for Data Analysis and be able to manipulate datasets, detect outliers, handle missing values, build correlations, and communicate your findings visually with confidence.
What You Will Learn
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Set up Jupyter Notebook and understand the workflow of Python analysis.
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Import, inspect, and prepare datasets from various sources.
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Perform essential data cleaning:
statistical measures, outlier detection, and handling missing values. -
Analyze datasets using groupby, correlation, and descriptive stats.
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Create professional visualizations:
column charts, bar charts, line charts, pie charts, histograms, and heatmaps. -
Build complete analysis projects from start to finish.
Course Content
Introduction
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01:14
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01:58
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Download Exercise files