PRO Statistics Course for Data Science and Analytics Statistics for Data Science & Analytics 3.5 hrs 40 coding exercises 3 projects Enroll in our Statistics Course for Data Science and Analytics and master essential topics, including descriptive statistics, probability, data visualization, and hypothesis testing, designed to help you analyze data effectively. About this course Enroll in our Statistics Course for Data Science and Analytics and master essential topics, including descriptive statistics, probability, data visualization, and hypothesis testing, designed to help you analyze data effectively. Earn a certificate with an Academy Pro+ subscription Subscribe To Pro+ • $25/Month Stand out to recruiters Share on professional channels Globally recognised Land your dream job Course outline Industry focussed curriculum designed by experts Introduction to Statistics 3 Videos An overview of the significance of statistics in data science, providing foundational knowledge essential for data analysis. 3 items 0.30 hr Role of Statistics in Data Science Basic Concepts in Statistics Types and Sources of Data Preview module Probability 3 Videos An exploration of probability fundamentals, including key concepts and mathematical principles that underpin statistical reasoning. 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 Videos An examination of techniques for summarizing and visualizing data, enabling insights through effective representation. 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 Videos A deep dive into methods for making predictions and decisions based on sample data, emphasizing estimation and hypothesis testing. 4 items 1.15 hr Understanding Sampling Estimation Techniques Hypothesis Testing Frameworks Testing Methods Coding Exercises Statistical Inference - Beginner Coding Exercises Statistical Inference - Intermediate View More Get access to the complete curriculum with your free trial Start 7-Day Free Trial Guided 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. Start 7-Day Free Trial Start 7-Day Free Trial 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. Probability Distributions Sampling Techniques Estimation & Confidence Intervals Hypothesis Testing Operational Analysis Using Inferential Statistics 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 Descriptive Statistics Inferential Statistics Data Visualization Exploratory Data Analysis (EDA) Probability Theory Probability Distributions Hypothesis Testing Correlation Analysis Sampling Methods Application of Statistical Theorems. 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 Descriptive Statistics Inferential Statistics Data Visualization Exploratory Data Analysis (EDA) Probability Theory Probability Distributions Hypothesis Testing Correlation Analysis Sampling Methods Application of Statistical Theorems. Gain skills & build your resume with complete access to guided projects in your free trial Start 7-Day Free Trial About AI Teacher GLaide GLaide is an AI-powered teacher, designed to deliver personalized 1:1 instruction and mentorship across a wide range of programs. Trained on multiple lectures and interactions from Great Learning’s top faculty, GLaide mirrors their expertise, clarity, and engagement style to support learners. GLaide is built on advanced AI models fine-tuned with proven pedagogical methods, making it a reliable solution for delivering expert-level education at scale. Read More Statistics for Data Science & Analytics 3.5 hrs 40 coding exercises 3 projects Statistics for Data Science & Analytics 3.5 hrs 40 coding exercises 3 projects Start 7-Day Free Trial Subscribe To Pro+ • $25/Month Get course + certificate with Pro+ subscription Our Learners Experience Naman Chouhan 5.0 ★★★★ ★ An Absolutely Mind-Blowing course to the Future with Gen AI! Exceptional course! It brilliantly demystifies Gen AI with clear explanations and practical projects. The hands-on approach built real confidence. Worth every penny and highly recommended for anyone curious about AI. Read more Parveen Kumar 5.0 ★★★★ ★ The course improved my technical knowledge and gave me a strong foundation in networking concepts. Course was very informative and well-structured. The concepts such as OSI model, TCP/IP, IP addressing, routing, and network protocols were explained clearly with good examples. The practical demonstrations and diagrams helped in understanding the real-time working of networks. Overall, the course improved my technical knowledge and gave me a strong foundation in networking concepts. Read more Raaj Rane 4.0 ★★★ ★ ☆ Data visualization with PowerBI Really good depth to the topic. Got an opportunity to learn a lot. Maybe add the exact excel data sheet as the one that is being used as the instructor so we can understand even better. Read more Advait Shirodkar 5.0 ★★★★ ★ Master Data Analytics in Excel Course had a good structure and focused on fundamentals and practical applications. Read more Sanika Todkari 5.0 ★★★★ ★ Strong Foundation This course provided a strong understanding of core Android development concepts. The modules were well-organized, and the instructor explained topics like activities, layouts, intents, and APIs very clearly. The practical assignments and demonstrations helped me build confidence in creating Android applications. Overall, it was a valuable and well-designed learning experience. Read more Dharani Priya G 5.0 ★★★★ ★ I really enjoyed this course! The lessons were clear, beginner-friendly, and well-structured. The practical hands-on exercises helped me understand how to craft effective prompts and avoid common mistakes. The examples, refined prompts, and advanced prompt techniques were especially useful. A great starting point for anyone interested in Generative AI and ChatGPT. Read more Anujkumar singh 4.0 ★★★ ★ ☆ The topic was explained in depth This course is trending and helps many to enter into AI and analytics Read more Aiman Shaikh 5.0 ★★★★ ★ Mastering digital marketing It's really amazing i easily understand this course with the help of great learning and great couches amazing team thank you so much for helping me to learn this course. Read more Minal 5.0 ★★★★ ★ Excellent Course for Beginners This online course exceeded my expectations. The content was detailed yet easy to understand, and the instructor used real-world examples to make concepts relatable. The platform was user-friendly, and each module was organized logically. The quizzes and case studies helped test my understanding. I would recommend this course to anyone looking to upskil Read more Nandana Raveendran 5.0 ★★★★ ★ Data visualization using Tableau This course was easy to understand and well structured. I especially liked the practical explanations, quizzes, and tools used to explain data visualization concepts. It helped me gain basic confidence in Tableau and understand how to create effective dashboards. A good course for beginners. Read more 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. View More Become skilled with AI-powered learning Get unlimited access to in-demand courses that get you noticed at work Subscribe To Pro+ • $25/Month Learn from GLaide: your personal AI Teacher GLaide, our AI teacher is trained by top faculty from Great Learning to deliver expert instruction in a personalized 1:1 format. 24x7 Doubt resolution Coding Hints Personalized Feedback Learn by doing Apply skills with guided projects and interactive practice exercises Mock Interview Guided Projects Practice Exercises Application-driven learning to Become a Skilled Professional with Pro Courses Gain work-ready skills with guided projects, top faculty and AI tools, all at an affordable price. 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