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Data Science Preview

What You Can Check First in Data Science

Use this preview to understand the Data Science path before logging in: start with Python, move into analysis libraries, then build toward visualization, statistics, and machine learning.

Start with Python Review the programming foundation used for data cleaning, analysis, automation, and ML workflows.
Explore analysis libraries Move into NumPy and Pandas for arrays, tabular data, transformations, and practical datasets.
Visualize and explain Use Matplotlib, Seaborn, statistics, and Power BI concepts to communicate insights clearly.
Prepare for ML Build toward machine learning by understanding datasets, features, models, and evaluation basics.
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Data Science Using Python

Analysis to ML workflow

Progress from Python data handling into analysis, visualization, statistics, and machine learning basics.

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Data Engineering

Pipelines, SQL, and cloud data

Learn how data moves from sources into clean, reliable datasets using SQL, Python, ETL concepts, and warehouse workflows.

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Artificial Intelligence

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