Data Science

Explore the universe of data! Learn to extract insights, create models, and make intelligent decisions with Data Science.

Python Data Analysis with Pandas and NumPy

Learn Python data analysis with NumPy and Pandas: arrays, DataFrames, cleaning, filtering, summaries, grouping, missing data, and a complete workflow.

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Reading time: 4 minutes

Scikit-Learn: Classification, Regression, Pipelines

Learn Scikit-Learn step by step: prepare data, split datasets, train classification and regression models, evaluate results, use pipelines, tune parameters,

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Reading time: 7 minutes

Matplotlib: Create Charts in Python

Learn Matplotlib in Python from installation to line, bar, scatter and pie charts, labels, legends, subplots, Pandas integration, and image

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Reading time: 5 minutes

Plotly: Build Interactive Charts in Python

Learn Plotly in Python from installation to interactive line, bar and scatter charts, styling, Pandas integration, export, and practical visualization

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Reading time: 5 minutes

Pandas: DataFrames, Filtering, and Grouping

Learn Pandas in Python from scratch: Series, DataFrames, CSV and Excel import, selection, filtering, missing values, grouping, merging, export, and

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Reading time: 5 minutes

Excel with Python: Create and Edit with openpyxl

Learn how to generate and edit Excel files with Python using Pandas and Openpyxl: create spreadsheets, read data, add formulas,

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Reading time: 4 minutes

Pandas: Clean Messy Data in Python

Learn how to clean messy data in Python with Pandas, missing values, duplicates, type conversion, text cleanup, outliers, and reusable

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Reading time: 9 minutes

NumPy: Arrays and Numerical Computing in Python

Learn what NumPy is, how to install it, create arrays, run fast math operations, and take your first real steps

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Reading time: 13 minutes