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Statistics Course for Data Science and Analytics
Statistics for Data Science & Analytics
Learn probability, descriptive statistics, and statistical inference techniques to analyze data. Join this statistics course for data science to gain data visualization and hypothesis testing skills for data-driven insights.
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Statistics
Probability
Mean
Median
Standard Deviation
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50+ Guided Projects
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About this course
This course equips you with essential statistical skills for data analysis in data science. You’ll master key concepts such as probability, descriptive and inferential statistics, and statistical inference techniques, including estimation and hypothesis testing. You'll learn to summarize data, analyze distributions, and visualize data effectively to uncover insights. The course also covers the role of statistics in data science and various data types, enabling you to make data-driven decisions and predictions. Through hands-on projects, you’ll apply statistical techniques to real-world data scenarios, such as analyzing call center efficiency, student performance, and customer purchase behavior. You’ll use probability distributions, hypothesis testing, and data visualization to extract actionable insights and drive improvements. By completing this course, you’ll be ready to apply statistical methods to solve complex data problems, optimize operations, and contribute to data-driven decision-making in any organization.
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Course outline
Industry focussed curriculum designed by experts
Introduction to Statistics
3 items
0.30 hr
- Role of Statistics in Data Science
- Basic Concepts in Statistics
- Types and Sources of Data
Probability
3 items
0.40 hr
- Introduction to Probability Concepts
- Key Principles and Theorems in Probability
- Understanding Probability Distributions
- Coding Exercises Probability - Beginner
Descriptive Statistics
4 items
1.10 hr
- Introduction to Probability Concepts
- Key Principles and Theorems in Probability
- Understanding Probability Distributions
- Coding Exercises Probability - Beginner
Statistical Inference
4 items
1.15 hr
- Understanding Sampling
- Estimation Techniques
- Hypothesis Testing Frameworks
- Testing Methods
- Coding Exercises Statistical Inference - Beginner
- Coding Exercises Statistical Inference - Intermediate
Get access to the complete curriculum with your free trial
Start 7-Day Free TrialGuided Projects
Solve real-world projects with this statistics course for data science with a step-by-step guide, starter code templates, and access to model solutions to boost your skills and build a standout resume.
Get a project certificate to add to your resume
Earn a certificate for every project you complete.
- GUIDED PROJECT 1
- Analyzing Call Center Efficiency
- As a data analyst for a telecommunications company, you’ll analyze customer support call center data to uncover probabilistic patterns and operational insights. Using probability distributions, sampling, estimation, and hypothesis testing, your goal is to assess call arrival behavior, service efficiency across shifts, and average wait times—enabling data-driven improvements in call center performance.
- GUIDED PROJECT 2
- Analyzing Factors Influencing Student Academic Performance
- In this project, you’ll step into the role of a Data Analyst for an educational consulting firm. Using real-world student performance data, your task is to perform a comprehensive statistical analysis to identify key factors affecting academic success. You'll apply descriptive and inferential statistical techniques to uncover insights and support data-driven recommendations—without using machine learning. Descriptive Statistics Data Visualization Correlation Analysis Hypothesis Testing Confidence Interval Estimation
- GUIDED PROJECT 3
- Customer Purchase Behavior Analysis
- As a junior data analyst at a retail company, your job is to analyze online customer transaction data to uncover patterns in purchase behavior. Through descriptive statistics and data visualization, you’ll explore spending habits, product quantity trends, and segment-based differences—providing actionable insights for marketing and sales teams. Descriptive Statistics Measures of Dispersion Data Visualization Customer Segmentation Analysis Correlation Analysis
Gain skills & build your resume with complete access to guided projects in your free trial
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Frequently Asked Questions
Who can enroll in this statistics for data analytics and Data Science course?
This introductory course in statistics is designed for anyone seeking to acquire basic skills in data analysis, data science, and analytics, or for those who wish to advance their careers in jobs that require a data-driven approach.
What will I learn in this statistics for data science course?
This statistical data analysis course covers basic topics in statistics, including descriptive statistics, probability theory, statistical inference, hypothesis testing, probability distributions, and methods of data visualization.
What skills will I acquire in this training course on statistics?
You will get the hands-on experience of statistical investigation, making the probability calculations, interpreting and visualizing the data, conducting the hypothesis test and effectively applying statistical tools to practice.
Does this statistics course come in a self-learning setting and what is the mode of learning?
Yes, it is a self directed online course with a GLaide smart AI based instruction assistance to give custom recommendations, immediate feedbacks, and instructional guidance.
Does the course also have practical projects in this statistics course?
Yes, the course consists of guided, hands-on projects, such as analyzing call center efficiency, assessing factors that influence student performance, and exploring customer purchase behavior, each structured to reinforce your learning and enhance your practical skills.
How is this paid statistics for data analytics course different from the other free courses available on Great Learning Academy?
This high-end course offers more guided, detailed, and tailored learning through hands-on guided projects, AI utilities, simulated interviews, and an industry-recognized certificate, providing the value of full-fledged customer retention training.
What is the cost of this statistical analysis training course, and is there a free trial available?
You can access the course with a Pro subscription at ₹999/month (incl. of GST). A 7-day free trial is available with no credit card required. This gives you complete access to advanced statistics for data science.
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