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Data Science and Analytics Fundamentals

The "Data Science and Analytics Fundamentals" course introduces learners to the essential principles of data analytics, mathematics, and statistics. Designed as a self-paced, PDF-based learning resource, this course equips students with foundational knowledge and practical skills applicable to data analysis in business contexts.

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I enjoyed the practical step by step guide with positive outcomes. I am so happy I took the decision to enroll in this course. I can't wait to start the next module.

Emmanuel Umoh

Network Engineer

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I loved the fact that it is hands on and the instructors are always available and patient enough to ensure all queries are attended to. I am highly satisfied.

Ishola Abisoye

Chief Marketing Officer

Overview

Unlock the fundamentals of data science and analytics with this comprehensive course, crafted for aspiring professionals and students keen on building a solid foundation in the field.

This course is divided into four sections:

  • Data Analytics Fundamentals:
    Discover the world of data analytics, including what data analysis entails, its types, processes, and various types of analytics.

  • Basic Math:
    Strengthen your mathematical foundation by exploring topics such as arithmetic operations, operator precedence, percentages, and percentage change—key skills required for accurate data interpretation.

  • Basic Statistics:
    Dive into the basics of descriptive and inferential statistics, learn about measures of central tendency, percentiles, and correlation, and understand their significance in analyzing data.

  • Key Business Metrics:
    Explore essential business metrics used in sales and retail, gaining insights into their role in driving business decisions and strategies.

Delivered as a PDF reading resource, this course allows you to learn at your own pace, providing clear and concise explanations that make complex concepts easy to understand.

Course objectives

By the end of this course, you'll be able to:

  • Understand the core concepts of data analytics, including its processes and types.
  • Master basic mathematical principles for data analysis, including arithmetic operations, percentages, and operator precedence.
  • Learn foundational statistical concepts such as descriptive and inferential statistics, measures of central tendency, and correlation.
  • Gain insights into essential business metrics for sales and retail.
  • Build a strong foundation for pursuing advanced studies in data science and analytics.

Course curriculum

Data Science and Analytics Fundamentals

It's practical all through. No theory, no jagon, only practical.