Learn Quantitative Analysis Online: Free Course with AI Tutor & Certificate
Aspiring analysts and business professionals will learn to interpret data and predict trends in this free quantitative analyst course. Over 1 hour and 40 video lessons, you'll master descriptive statistics, probability theory, and regression analysis. You can even build a portfolio with real-world projects.
What you'll learn in this Quantitative Analysis course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Analyze and interpret various types of data using descriptive statistics and probability theory.
Conduct statistical inference through sampling, estimation, and hypothesis testing.
Perform correlation and regression analysis to identify relationships between variables.
Apply time series analysis and forecasting techniques to predict future trends.
Utilize statistical software for data manipulation, analysis, and visualization.
Quantitative Analysis course syllabus
01 Introduction to Quantitative Analysis
- Introduction to Quantitative Analysis
- Importance of Quantitative Analysis
- Types of Data in Quantitative Analysis
- Data Collection Methods in Quantitative Analysis
02 Descriptive Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Frequency Distributions
- Graphical Representation of Data
03 Probability Theory
- Introduction to Probability
- Basic Concepts of Probability
- Probability Distributions
- Conditional Probability
04 Statistical Inference
- Sampling Techniques
- Estimation
- Hypothesis Testing
- Confidence Intervals
05 Correlation and Regression Analysis
- Correlation Analysis
- Simple Linear Regression
- Multiple Linear Regression
- Interpretation of Regression Results
06 Time Series Analysis
- Introduction to Time Series
- Components of Time Series
- Forecasting Techniques
- Evaluating Forecast Accuracy
07 Decision Analysis
- Decision-Making Process
- Decision Trees
- Expected Monetary Value Analysis
- Sensitivity Analysis
08 Data Visualization
- Importance of Data Visualization
- Types of Charts and Graphs
- Design Principles for Effective Data Visualization
- Tools for Data Visualization
09 Statistical Software
- Introduction to Statistical Software
- Data Import and Manipulation
- Descriptive Statistics in Software
- Statistical Analysis in Software
10 Case Studies in Quantitative Analysis
- Application of Quantitative Analysis in Business
- Real-Life Examples of Quantitative Analysis
- Challenges and Limitations of Quantitative Analysis
- Ethical Considerations in Quantitative Analysis
Real-world projects you'll work on
Practice the exact kind of work Quantitative Analysis professionals do on the job.
Analyzing Consumer Behavior Trends Using Descriptive Statistics at Amazon
Predictive Sales Forecasting with Time Series Analysis for Tesla
Optimizing Marketing Strategies through Regression Analysis at Google
Risk Assessment and Decision Analysis for New Product Launch at Apple
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Quantitative Analysis course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Students looking for a quantitative analyst course in India to start their data careers.
- Business professionals wanting to use statistical software for better decision making.
- Finance enthusiasts seeking foundational quantitative finance training.
- Career switchers moving into analytics or quantitative trading roles.
Prerequisites
- No prior experience is required to begin this course.
- Basic understanding of high school level mathematics is helpful.
- Familiarity with standard spreadsheet software will make learning easier.
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 Quantitative Analysis course: free, structured and job-focused
Aspiring data professionals and business strategists will find exactly what they need in this online quantitative analysis course. You'll start by mastering the basics in Introduction to Quantitative Analysis before moving into Descriptive Statistics and Probability Theory. As you progress, the curriculum covers Statistical Inference, Correlation and Regression Analysis, and Time Series Analysis. You'll also explore Decision Analysis, Data Visualization, and Statistical Software to ensure you can manipulate and present data effectively.
LearnTube makes mastering these concepts simple and interactive. The platform curates the best YouTube video lessons and pairs them with a smart AI tutor. You'll face a quick quiz after every single lesson to test your knowledge, ensuring you actually remember what you learn. The learning experience is completely free, and you can add a paid certificate once you finish to show employers your new skills.
To give you practical experience, the course includes four hands-on projects. You'll try Analyzing Consumer Behavior Trends Using Descriptive Statistics at Amazon and Predictive Sales Forecasting with Time Series Analysis for Tesla. Later, you'll work on Optimizing Marketing Strategies through Regression Analysis at Google and Risk Assessment and Decision Analysis for New Product Launch at Apple. Finally, the Case Studies in Quantitative Analysis module ties everything together, preparing you for real-world analyst roles.
Jobs you can target after learning Quantitative Analysis
Quantitative Analysis is a gateway skill for some of the fastest-growing roles in tech.
Develops mathematical models to help businesses make financial and trading decisions.
Cleans and interprets data to identify trends that guide company strategies.
Evaluates potential risks in investments or business operations using statistical methods.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Quantitative 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 Quantitative Analysis course.
What will I build in this quantitative analysis course?
You'll complete four practical projects, including forecasting sales for Tesla using time series analysis and optimizing Google marketing strategies with regression analysis. These projects give you a strong portfolio for future roles.
Is quantitative analysis still in demand?
Yes. Companies constantly need professionals who can interpret data and forecast trends. Taking a quantitative methods online course gives you highly sought-after skills for roles in finance, technology, and business strategy.
How much does this quantitative analysis training cost?
The learning experience is entirely free. You can watch all 40 video lessons and take the AI quizzes without paying anything. A verified certificate is available as an optional paid upgrade.
Will I receive a quantitative analysis certification?
Yes, you can earn a certificate of completion. Once you finish all 10 modules and pass the AI quizzes, you can purchase the certificate to share on your LinkedIn profile or resume.
Is this a self-paced quantitative methods course?
Yes. The entire curriculum is self-paced and available on demand. You can complete the 1 hour of video content and quizzes whenever it fits your personal schedule, making it perfect for working professionals.
Do I need advanced math skills to start?
No. While basic high school math is helpful, it's designed for beginners. The curriculum starts with an Introduction to Quantitative Analysis and gradually introduces concepts like probability and statistical inference.
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