Course
Statistics for Data Science & Machine Learning
Essential workplace statistics, including descriptive and inferential analytics, hypothesis testing, and regression analysis.
4.8
What you'll learn
Grasp core statistical concepts
Master handling diverse data types
Visualize different data formats
Compute measures of central tendency, asymmetry, and variability
Calculate correlation and covariance
Identify and apply various probability distributions
Estimate confidence intervals
Execute hypothesis testing
Make data-informed decisions
Comprehend the mechanics behind regression analysis
Perform regression analysis
Implement and interpret dummy variables
Master essential data science concepts using Python and R
This course includes
- 2 hours on-demand video
- 18 articles
- 44 downloadable resources
- Access on mobile and TV
- Closed captions
- Certificate of completion
Course content
4 sectionsRequirements
- No prior experience is necessary
- We begin with the fundamentals and build your knowledge progressively
- All required materials are fully included in the course
- A drive to learn and practice
Secret Sauce
Why this course works
Description
Are you aspiring to work as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist? Do you want to master the quantitative skills these roles demand? Statistics for Data Science and Business Analysis is designed specifically to help you succeed.
This course is your ideal starting point. You'll quickly build the foundational skills needed to understand complex statistical concepts and apply them directly to real-world scenarios.
Easy to followFully comprehensiveHighly practicalDirect and conciseRich in exercisesGrounded in data-driven principlesFocused on statistical terminologyCentered on data visualizationBuilt on quantitative research
While these ideas are discussed all over the internet, a structured program that clearly explains the reasoning behind each method is hard to find. Software automates the calculations — this course builds the critical thinking to know which calculation to reach for, and why. We spent months building this program from the ground up, so your enrollment includes structured materials, practice quizzes, downloadable notes, and a full glossary of terms.
What sets this course apart
High-Production Quality
Crisp visuals and clear animations keep every lesson engaging.
Expert Instruction
Led by an internationally competitive mathematician and statistician.
Complete Curriculum
Covers every statistical topic needed for data and business analyst roles.
Practical Case Studies
Hands-on projects reinforce every concept as you learn it.
Responsive Support
Get answers to your questions within one business day.
Efficient Pacing
Focused, structured lessons that respect your time.
Why master these skills
Strong Earning Potential
Data careers remain among the most sought-after in the corporate world, and demand keeps growing.
Career Advancement
Sound statistical knowledge lets you back business proposals with quantitative proof.
Future-Proof Job Security
Automation replaces routine roles — data skills keep you building and directing those systems.
Continuous Growth
Every project brings fresh, engaging challenges that keep you learning.
This course is backed by Otomas' 30-day money-back guarantee, giving you a risk-free opportunity to explore the material.
Who this course is for
- Individuals pursuing a career in Data Science
- Prospective Business Intelligence Analysts
- Business Analysts seeking stronger quantitative skills
- Business Executives making data-backed decisions
- Anyone passionate about quantitative analysis and working with numbers
- Professionals who want to apply statistical techniques to business scenarios
- Beginners looking to learn statistics from the ground up
4.8 course rating