Statistics for Data Science Full Course | Probability and Statistics for Engineers | Great Learning

Jumpstart your data science career! Enroll now in our Academy Pro Statistics for Data Science & Analytics course:
https://bit.ly/StatisticsCourseforDat...

Course Introduction / Overview
Unlock the power of data with Statistics for Data Science & Analytics, a 12-hour in-depth course led by Dr. Abhinanda Sarkar (PhD, Stanford). Designed for beginners and aspiring data professionals, this hands-on course demystifies essential statistical concepts and takes you step-by-step through real-world business applications. You'll use industry-standard tools to analyze data, solve practical problems, and master the building blocks of data-driven decision-making. Whether you’re aiming for a data science career or just want to solidify your analytics foundation, this course is your springboard.

How Statistics for Data Science Works / Importance
Statistics is the backbone of Data Science, Machine Learning, and AI. It transforms raw numbers into actionable insights and smarter decisions. With skills in probability, hypothesis testing, and regression analysis, you’ll be able to uncover relationships in data, validate assumptions, and predict future trends. Real-world uses span everything from business forecasting and marketing analytics to healthcare research and product development.

What You’ll Learn
By the end of the pro course, you will:

✅ Master descriptive and inferential statistics
✅ Apply probability theory and distributions to real datasets
✅ Conduct hypothesis tests and analyze confidence intervals
✅ Explore and interpret data relationships using correlation and regression
✅ Confidently solve real-world business and research problems

Topics Covered / Agenda
🏁 Your learning roadmap:

[00:00:00] - Introduction to Course
[00:01:18] - Agenda
[00:02:56] - Introduction to Statistics
[01:02:00] - Standard Deviation
[02:45:00] - Correlation and Covariation
[04:27:00] - Introduction to Probability
[05:21:00] - Hypothesis Testing
[06:31:00] - Marginal and Conditional Probability
[07:17:00] - Normal Distribution
[08:45:00] - Linear Regression

Further Learning / Programs
Continue your learning journey with these top courses and certifications:

Free Statistics for Data Science Course (FREE): https://bit.ly/BasicsofStatisticsForD...
Post Graduate Program in Data Science with Generative AI (PAID): https://bit.ly/UT-PGP-DSBA
Data Analytics Essentials (PAID): https://bit.ly/OnlineDataAnalyticsCourse
Applied AI and Data Science Program (PAID): https://bit.ly/MIT-AppliedAI-DataScience
Data Science and Machine Learning: Making Data-Driven Decisions (PAID): https://bit.ly/mit-idss-datascience-m...
Explore more Data Science and Analytics Courses: https://www.mygreatlearning.com/data-...
Why Watch This Video / Learn This
This video is your gateway to a dynamic, data-driven career! Whether you're aiming to break into data science, upskill for a promotion, or strengthen your analytical thinking, mastering statistics is essential. Follow along with practical examples, try out real exercises, and build a toolkit you’ll use in every data science interview and project. Don’t just watch—practice and see the difference for yourself!

Perfect For / Target Audience
This course is ideal for:

Students preparing for Data Science, AI, or Analytics careers
Working professionals looking to upskill in data analysis
Beginners wanting to understand the essentials of statistics
Business professionals seeking data-driven decision skills
Anyone aspiring to use statistics for practical, real-world solutions

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