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Master data analysis, visualization, Python, machine learning, and real-world projects to drive data-driven decisions and advance your career in tech, business, or analytics.

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DATA SCIENCE AND ANALYTICS COURSE

Master data analysis, visualization, Python, machine learning, and real-world projects to drive data-driven decisions and advance your career in tech, business, or analytics.

OVERVIEW

Provides a step-by-step journey through the world of data science and analytics. You will learn key concepts such as data preprocessing, exploratory data analysis, data visualization, statistical modeling, and machine learning, using industry-standard tools and real-world datasets. Each module includes Jupyter notebooks, datasets, and assignments to reinforce your learning.

PRE-REQUISITES

  • Basic knowledge of Python programming
  • Familiarity with statistics and mathematics is helpful but not required
  • Recommended: Jupyter Notebook or Google Colab

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Master data analysis, visualization, Python, machine learning, and real-world projects to drive data-driven decisions and advance your career in tech, business, or analytics.

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