Statistics for Data Science

Build a rock-solid foundation in Statistics to analyze, interpret, and draw insights from data - the essential skill behind every Data Scientist’s success!

Duration

12 hours

Taught in

English, Hindi, Marathi, Kannada, Telugu

Certificate From

i-Hub, IIT Patna

Level

Advanced

The Future Of Statistics for Data Science

95%

Student satisfaction rate

1000+

Students enrolled

Upskill with this course and unlock exciting job roles like

Data Scientist
Machine Learning Engineer
Data Analyst
Research Scientist
Data Scientist
Machine Learning Engineer
Data Analyst
Research Scientist
Data Scientist
Machine Learning Engineer
Data Analyst
Research Scientist
Data Scientist
Machine Learning Engineer
Data Analyst
Research Scientist

Course Roadmap

Module 1

Fundamentals of Statistics

  • Fundamentals of Statistics for Data Science
  • Understanding of Data Type - Numerical & Categorical

Prakhar Shrivastava

IIM Mumbai

Module 2

Descriptive Statistics

  • Measures of Central Tendency: Understand mean, median, and mode to summarize and interpret the center of your data effectively.
  • Measures of Dispersion: Learn how range, variance, and standard deviation reveal the spread and consistency of data values.
  • Data Distribution & Shape: Explore skewness, kurtosis, and frequency distributions to uncover hidden patterns and data behavior.

Prakhar Shrivastava

IIM Mumbai

Module 3

Probability and its impact in the world of Data Science

Prakhar Shrivastava

IIM Mumbai

Module 4

Measures of Dispersion

  • Qualitative Analysis of Mean, Median & Mode
  • Measures of Dispersion

Prakhar Shrivastava

IIM Mumbai

IIT CERTIFICATION

Get certified by i-Hub, IIT Patna

Certificate

How to avail this certificate?

  • Complete all the course modules
  • Finish the final evaluation with the required minimum score
INDUSTRY READINESS

Fast-Track to Industry Excellence

Complete this course and unlock the industry readiness program,

without the qualifier test!

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Vishlesan i-Hub, IIT Patna

Artificial Intelligence and Machine Learning

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