Statistics for Data Science and Business Analysis
Learn core statistical concepts for data-driven careers with practical exercises, visual explanations, and real-world business case studies.
Learn core statistical concepts for data-driven careers with practical exercises, visual explanations, and real-world business case studies.
Are you aiming to build a career as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist?
Do you want to gain the quantitative and analytical skills that every top employer looks for?
If yes — this course is your perfect starting point!
Statistics for Data Science and Business Analysis is designed to help you develop strong foundational knowledge through structured learning, practical exercises, and industry-focused insights. You will learn statistics in a way that is:
With included Excel templates, case studies, and step-by-step examples, you’ll quickly build the skills needed to understand and perform statistical analysis used in business and data science environments.
Basic computer skills
Access to a laptop or desktop
Excel or Google Sheets installed (recommended)
No prior knowledge of statistics required
Willingness to practice with datasets and exercises
Understand core statistical concepts used in data science and business analytics
Identify data types, sampling methods, and measurement scales
Apply descriptive and inferential statistical techniques
Calculate mean, median, mode, variance, and standard deviation
Use probability concepts and statistical distributions
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Students
1
language
English
Duration
00h 00mLevel
intermediate
Expiry period
Lifetime
Certificate
Yes
English
Certificate Course
1 Students
00h 00m