Learn Statistics & Probability for Data Analysis Online: Free Course with AI Tutor & Certificate
Making accurate predictions requires solid math. This free statistics and probability course spans 19 hours and 49 video lessons to teach you data analysis. You'll master descriptive statistics, hypothesis testing, and regression, giving you the skills to confidently interpret complex datasets at work.
What you'll learn in this Statistics & Probability for Data Analysis course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Statistics & Probability for Data Analysis course syllabus
01 Introduction to Statistics and Probability
- Understanding Data Types
- Basic Statistical Terms
- Introduction to Probability
- Applications of Statistics and Probability
02 Descriptive Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Data Visualization Techniques
- Summarizing Data
03 Probability Concepts
- Probability Rules
- Conditional Probability
- Independent and Dependent Events
- Bayes' Theorem
04 Random Variables and Distributions
- Discrete Random Variables
- Continuous Random Variables
- Probability Distributions
- Expected Value and Variance
05 Sampling and Sampling Distributions
- Sampling Methods
- Central Limit Theorem
- Sampling Distribution of the Mean
- Confidence Intervals
06 Inferential Statistics
- Hypothesis Testing
- Types of Errors
- Significance Levels
- Power of a Test
07 Correlation and Regression
- Correlation Coefficient
- Simple Linear Regression
- Multiple Regression
- Interpreting Regression Output
08 Analysis of Variance (ANOVA)
- One-way ANOVA
- Two-way ANOVA
- Assumptions of ANOVA
- Post-hoc Tests
09 Non-parametric Tests
- Chi-Square Test
- Mann-Whitney U Test
- Wilcoxon Signed-Rank Test
- Kruskal-Wallis Test
10 Introduction to Time Series Analysis
- 1 Components of Time Series
- 1.1 Trend, Seasonality, and Cycles|Defining the components of a time series: trend, seasonality, and cycles.
- 2 Trend Analysis
- 2.1 Identifying Trends|Discussing methods for identifying trends in time series data.
- 2.2 Smoothing Techniques|Exploring smoothing techniques such as moving averages and exponential smoothing.
- 2.3 Trend Estimation and Forecasting|Understanding the process of trend estimation and its use in forecasting future values.
- 3 Seasonality
- 3.1 Detecting Seasonal Patterns|Introducing methods for detecting seasonal patterns in time series data.
- 3.2 Seasonal Adjustment|Discussing the process of seasonal adjustment and its importance in time series analysis.
- 4 Forecasting Methods
- 4.1 Time Series Forecasting Models|Introducing various time series forecasting models, including ARIMA and exponential smoothing state space models.
- 4.2 Evaluating Forecast Accuracy|Discussing methods for evaluating the accuracy of time series forecasts.
- 4.3 Forecasting with Machine Learning|Exploring the use of machine learning techniques in time series forecasting, such as neural networks and support vector machines.
Real-world projects you'll work on
Practice the exact kind of work Statistics & Probability for Data Analysis professionals do on the job.
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Statistics & Probability for Data Analysis course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Aspiring data scientists who need a strong mathematical foundation for machine learning.
- Working data analysts in India looking to upgrade their predictive modeling skills.
- Software engineers transitioning into data-focused roles.
- Business professionals who want to understand data trends and make better decisions.
Prerequisites
- No prior professional data experience is required to begin this course.
- Basic high school mathematics and algebra knowledge will be helpful.
- Familiarity with general spreadsheet software is useful but not strictly mandatory.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Statistics & Probability for Data Analysis course: free, structured and job-focused
Finding meaning in raw numbers is difficult without the right mathematical foundation. When you try to analyze trends or build predictive models, guessing simply doesn't work. This free statistics for data science course gives you the exact tools needed to make sense of complex information. You'll start right away with Understanding Data Types, moving into Introduction to Statistics and Probability. From there, the curriculum covers Descriptive Statistics and Probability Concepts so you can confidently summarize datasets and calculate event likelihoods.
As you progress through the 10 modules, the concepts get more advanced. You will learn Random Variables and Distributions alongside Sampling and Sampling Distributions. This allows you to draw conclusions about a massive population from a small sample using Inferential Statistics. We also teach Correlation and Regression, Analysis of Variance (ANOVA), and Non-parametric Tests. Finally, you will explore Introduction to Time Series Analysis to forecast future trends. If you want a complete statistics for data analysis course, this 19-hour track covers all the essentials.
LearnTube makes it easy to master probability and statistics for data science. The platform organizes top YouTube videos into a structured path. After every single lesson, an AI tutor tests your knowledge with a quick quiz so you actually remember what you watch. Learning is completely free, and you can add an optional paid certificate at the end to show employers your new skills. With over 60,000 learners and 900 hiring partners on our platform, you're in great company.
Jobs you can target after learning Statistics & Probability for Data Analysis
Statistics & Probability for Data Analysis is a gateway skill for some of the fastest-growing roles in tech.
Cleans data and uses statistical tools to find meaningful business trends.
Builds basic predictive models and tests hypotheses using statistical methods.
Analyzes company metrics to help management make data-driven decisions.
Evaluates campaign performance using A/B testing and regression analysis.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a Statistics & Probability for Data Analysis certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Statistics & Probability for Data Analysis course.
Do I need prior experience to take this statistics for data science course?
No, you do not need advanced experience. The curriculum starts with basic concepts like understanding data types. Basic high school math is helpful, but the lessons explain everything step by step so beginners can follow along easily.
What jobs can I get after learning probability and statistics for data science?
You can work as a Data Analyst, Junior Data Scientist, or Business Intelligence Analyst. Entry-level salaries in India for these roles typically range from ₹3.5 LPA to ₹8.0 LPA, depending on your exact location and the specific company.
Can I study this statistics for data analysis course on my phone?
Yes, you can watch the video lessons and take the AI quizzes on any mobile device. The entire syllabus is self-paced, meaning you can pause, rewind, and complete the modules whenever you have free time.
How long does it take to finish this online statistics certificate program?
The course contains 49 video lessons that take about 19 hours to complete in total. Since you control the schedule, you might finish it in a few days or spread it out over several weeks.
Is this statistics and probability online course actually free?
Yes, accessing the video lessons and taking the AI tutor quizzes is completely free. If you want to receive a formal certificate of completion to share on your resume, that is available as an optional paid add-on.
How does the AI tutor work in this data science statistics course?
After you watch a curated video lesson, the AI tutor generates a quick quiz based on that specific topic. This immediate practice helps you remember complex formulas and ensures you actually understand the statistical concepts.
Do I need to buy special software for this probability for data science course?
No, you do not need to purchase any specialized software. The lessons focus heavily on core mathematical concepts and statistical theory. Any basic spreadsheet program is enough to practice the formulas and calculations taught here.
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