Course description

This course provides a comprehensive introduction to data science, equipping you with the essential knowledge and tools to understand, analyze, and visualize data effectively. You’ll explore the foundations of Python programming, statistics, data analysis, and visualization techniques, all through real-world examples. At the end, you'll gain the skills to get started no matter your career level – whether you are starting a new one, or simply understand the role of data in decision-making.

By the end of the course, you’ll have a solid understanding of the data science process and the confidence to explore more advanced topics or apply your skills in a professional setting.

What You’ll Learn

  • The fundamentals of data science and its real-world impact
  • How to collect, clean, and organize data efficiently
  • Essential Python programming for data science (no prior experience needed)
  • Data visualization techniques to uncover insights
  • Key statistical concepts for making data-driven decisions
  • An introduction to machine learning and predictive analytics
  • Ethical considerations in data science

Who Should Take This Course?

  • Beginners looking to build a strong foundation in data science
  • Students and professionals aiming to develop data skills for career growth
  • Entrepreneurs and business owners who want to make data-driven decisions
  • Anyone curious about how data is transforming industries

No previous experience in coding or statistics is required, just a willingness to learn and explore the world of data science.

What will i learn?

  • Understand the key concepts of data science and its workflow
  • Use Python for basic data analysis and manipulation
  • Visualize data using charts and graphs
  • Work with datasets using Pandas and NumPy
  • Explain the role of data in decision-making
  • Prepare for intermediate-level courses in data science or machine learning

Requirements

  • A laptop or computer with internet access
  • Basic familiarity with using a computer and browsing the internet
  • Willingness to learn and practice coding
  • Recommended: Install Python and Jupyter Notebook (guides will be provided)

Frequently asked question

This course introduces the foundational concepts, tools, and techniques used in data science. You will learn about data handling, analysis, visualization, and the basics of machine learning.

No prior experience is required. This course is beginner-friendly and designed for anyone interested in learning data science from scratch.

You will be introduced to Python, Jupyter Notebooks, and essential libraries like NumPy, Pandas, Matplotlib, and more.

The course is designed to be completed over 6-8 weeks with a recommended study schedule of 4 hours per day, 3 days a week.

David Okello

$102.6

Lectures

0

Skill level

Beginner

Expiry period

Lifetime

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