Statistics for Data Science & Business Analytics

Learn key statistical concepts and techniques to analyze data with IIM Ahmedabad Alumnus

What you'll learn:

Better understanding of key concepts and properties in statistics Understand the connection of key concepts with real life scenarios Learn basic probability concepts used widely in Data science, Analytics, medicinal researches and other imprtant fields Learn Descriptive and Inferential Statistics and it's real life application Learn everything from Probabiity to Hypothesis testing and different analysis

Description:

Master the Fundamentals of Statistics and Elevate Your Data Analysis Skills!

Are you looking to build a strong foundation in statistics for data science, analytics, and decision-making? This beginner-to-intermediate level course is designed to simplify complex statistical concepts with real-world applications, helping you gain confidence in data analysis, hypothesis testing, and regression modeling.

What You’ll Learn:

Module 1: Introduction to Statistics –

1. Understand the role of statistics in data science

2. types of data

3. key distinctions between descriptive & inferential statistics.

Module 2: Descriptive Statistics –

1. Learn about measures of central tendency (mean, median, mode)

2. Measure of dispersion (range, variance, standard deviation)

3. visualize data using histograms, box plots, and scatter plots.

Module 3: Probability Basics –

1. Master probability concepts

2. conditional probability

3. Bayes’ theorem

Module 4: Probability  Distributions –

1. Understanding Discrete and Continuous Probability distributions

2. Binomial Distribution

3. Poisson Distribution

4. Normal Distribution

5. Exponential Distribution

6. Central Limit Theorem(CLT)

Module 5: Inferential Statistics –

1. Dive into sampling techniques

2. What is confidence intervals

3. hypothesis testing

4. Types of errors

5. t-tests & z-tests

6. Understanding chi-square test

Module 6: Regression & Correlation – ( Coming Soon)

Explore correlation analysis, simple & multiple linear regression, R-squared value, and the line of best fit to make data-driven predictions.

Who Is This Course For?

• Aspiring Data Scientists, Business Analysts, and Researchers

• MBA & Analytics Students looking to strengthen their statistical foundation

• Students & professionals in Finance, Marketing, and Business Strategy

• Anyone looking to interpret and analyze data effectively

Why Take This Course?

• Beginner-friendly explanations with real-world examples

• No prior advanced math required—concepts explained intuitively

• Hands-on learning with statistical tools and visualization techniques

• Essential for careers in data-driven decision-making

By the end of this course, you’ll be able to confidently apply statistical techniques to analyze data, test hypotheses, and build predictive models—a must-have skill set for any data professional!

Ready to turn data into actionable insights? Enroll now and master statistics for real-world decision-making!

Requirement:

Anyone who is eager to learn Statistics with real life applications Anyone who is looking forward to expand the horizons of understanding of statistics No prior knowledge of Statistics required