Learn Product Analytics and Market Research Online: Free Course with AI Tutor & Certificate
Aspiring analysts and product managers will learn to track user behavior and evaluate industry trends in this free product analytics course. Across 12 modules and about 1 hour of video lessons, you'll master customer segmentation, competitor benchmarking, and data storytelling to drive better business decisions.
Product Analytics and Market Research course syllabus
01 Introduction to Product Analytics
- Understanding the role of product analytics
- Importance of product analytics in decision-making
- Key concepts in product analytics
- Tools and software for product analytics
02 Product Analytics Basics
- Data collection and storage for product analytics
- Data cleaning and preprocessing
- Statistical analysis for product performance
- Introduction to A/B testing for product optimization
03 Commonly used metrics
- Key performance indicators (KPIs) in product analytics
- Revenue and conversion metrics
- User engagement metrics
- Retention and churn metrics
04 Customer Behavior Analysis
- Understanding customer journey mapping
- Behavioral analytics for user interactions
- Customer feedback analysis
- Predictive modeling for customer behavior
05 Advanced Customer Behavior Insights
- Customer personas and user segmentation
- Factors influencing customer behavior
- Customer satisfaction and loyalty analysis
- Behavioral economics in customer decision-making
06 Methods of customer segmentation
- Demographic segmentation
- Psychographic segmentation
- Behavioral segmentation
- Geographic segmentation
07 Market Research Techniques
- Qualitative research methods
- Quantitative research methods
- Surveys and questionnaires
- Focus groups and interviews
08 Market Analysis and Strategy
- Market sizing and opportunity analysis
- Competitive landscape assessment
- Market trend analysis
- Consumer behavior research methods
09 Competitor Benchmarking
- Identifying key competitors
- Competitive product analysis
- Pricing and positioning comparison
- SWOT analysis for competitor assessment
10 Data Visualization and Communication
- 1 Importance of data visualization in product analytics
- 1.1 Visualization for Insight Discovery|Explore how data visualization aids in the discovery of insights and patterns.
- 1.2 Enhancing Communication with Visualization|Discuss the role of visualization in enhancing communication with stakeholders.
- 1.3 Best Practices in Data Visualization|Learn about best practices in data visualization for clarity and impact.
- 2 Types of data visualization tools
- 2.1 Comparing Visualization Tools|Understand the different types of data visualization tools available.
- 2.2 Tool Selection Criteria|Discuss criteria for selecting the appropriate visualization tool for specific data sets.
- 2.3 Integration with Analytics Platforms|Examine how visualization tools integrate with analytics platforms.
- 3 Design principles for effective visualization
- 3.1 Fundamental Design Principles|Introduce the fundamental design principles for creating effective visualizations.
- 3.2 Visual Hierarchy and Layout|Discuss the importance of visual hierarchy and layout in data presentation.
- 3.3 Color Theory and Accessibility|Learn about the application of color theory and accessibility considerations in visualization design.
- 4 Interactive and dynamic visualization techniques
- 4.1 Interactive Visualization Features|Explore features that make visualizations interactive and engaging.
- 4.2 Dynamic Data Representation|Understand the techniques for representing dynamic data in visualizations.
- 4.3 Case Studies on Interactive Visuals|Review case studies where interactive and dynamic visualizations provided significant value.
11 Data Storytelling and Dashboard Design
- 1 Exploratory data analysis through visualization
- 1.1 EDA Concepts and Techniques|Introduce the concepts and techniques of exploratory data analysis (EDA) using visualization.
- 1.2 Pattern Recognition in EDA|Discuss the importance of pattern recognition during the exploratory phase.
- 1.3 Tools for Exploratory Visualization|Learn about the tools commonly used for exploratory data visualization.
- 2 Visual representation of product performance metrics
- 2.1 Selecting Metrics for Visualization|Understand how to select the most relevant product performance metrics for visualization.
- 2.2 Visualizing Time Series Data|Discuss techniques for visualizing time series data related to product performance.
- 2.3 Comparative Analysis Visuals|Learn how to create visuals for comparative analysis of product metrics.
- 3 Dashboard creation for product analytics
- 3.1 Dashboard Design Fundamentals|Explore the fundamentals of dashboard design for product analytics.
- 3.2 Customizing Dashboards for Stakeholders|Discuss how to customize dashboards for different stakeholder needs.
- 3.3 Dashboard Usability and Interactivity|Examine the importance of usability and interactivity in dashboard design.
- 4 Storytelling with data visualization
- 4.1 The Art of Data Storytelling|Introduce the concept of storytelling with data and its importance.
- 4.2 Narrative Techniques in Visualization|Discuss narrative techniques that enhance the storytelling aspect of data visualization.
- 4.3 Case Studies on Data Narratives|Review case studies where data storytelling effectively communicated insights.
12 Common visualization types
- 1 Bar charts and line graphs
- 1.1 Bar Chart Applications|Explore the applications and use cases for bar charts in data visualization.
- 1.2 Line Graph Use Cases|Understand when and how to use line graphs for data trends and comparisons.
- 1.3 Designing Effective Bar and Line Graphs|Discuss design considerations for creating effective bar and line graphs.
- 2 Pie charts and donut charts
- 2.1 When to Use Pie Charts|Learn about the appropriate use cases for pie charts and their variations.
- 2.2 Donut Chart Design|Discuss the design and application of donut charts in data visualization.
- 2.3 Limitations of Pie and Donut Charts|Examine the limitations and potential misuses of pie and donut charts.
- 3 Scatter plots and heat maps
- 3.1 Scatter Plot Analysis|Introduce scatter plots and their use in representing bivariate data relationships.
- 3.2 Heat Maps for Data Density|Understand how heat maps visualize data density and distribution.
- 3.3 Designing Informative Scatter Plots and Heat Maps|Discuss design strategies for creating informative scatter plots and heat maps.
- 4 Tree maps and bubble charts
- 4.1 Tree Map Structure and Usage|Explore the structure and usage of tree maps for hierarchical data visualization.
- 4.2 Bubble Chart Applications|Learn about the applications of bubble charts in representing multi-dimensional data.
- 4.3 Effective Design of Tree Maps and Bubble Charts|Discuss the principles of effective design for tree maps and bubble charts.
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Product Analytics and Market Research course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Students and recent graduates in India looking to enter the product management or business analytics fields.
- Working professionals who want to transition into a market research analyst role.
- Entrepreneurs and founders needing to understand their customer base and competitors better.
- Marketers wanting to back up their campaign strategies with hard data and advanced customer behavior insights.
Prerequisites
- No prior product analytics or market research experience is required to begin this course.
- A basic understanding of general business concepts is helpful but not mandatory.
- Access to a computer or smartphone with a stable internet connection.
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 Product Analytics and Market Research course: free, structured and job-focused
Aspiring business analysts and product professionals will learn how to measure user engagement and analyze industry data through this market research course. You'll start with the first lesson on Understanding the role of product analytics before moving into Product Analytics Basics. The curriculum breaks down Commonly used metrics and Customer Behavior Analysis, ensuring you know exactly how to interpret what users are doing. You'll then explore Advanced Customer Behavior Insights and Methods of customer segmentation to group audiences effectively.
The second half of your training focuses on the broader market. You'll study Market Research Techniques, Market Analysis and Strategy, and Competitor Benchmarking to position products successfully. Finally, the program covers Data Visualization and Communication, Data Storytelling and Dashboard Design, and Common visualization types. By the end, you'll be able to present your findings clearly to stakeholders.
LearnTube makes this product analytics training highly interactive. The platform curates 84 video lessons from top YouTube creators and pairs them with an AI tutor. After every video, the AI tests your knowledge with a quick quiz to help you remember the concepts. You can learn entirely for free at your own pace. If you want to highlight your new skills to our 900+ hiring partners, you can choose to purchase an optional verified certificate upon completion.
Jobs you can target after learning Product Analytics and Market Research
Product Analytics and Market Research is a gateway skill for some of the fastest-growing roles in tech.
Collects and analyzes data on consumers and competitors to guide business strategies.
Monitors product performance metrics and user behavior to recommend feature improvements.
Evaluates business models and market trends to help companies make data-driven decisions.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Product Analytics and Market Research 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 Product Analytics and Market Research course.
What will I be able to do after this market research course?
You will be able to track user behavior, segment customers, and conduct competitor benchmarking. You'll also know how to build dashboards and use data storytelling to present your market analysis clearly to stakeholders.
Is product analytics still a good skill to learn?
Yes. Companies rely heavily on data to build better products and understand their audience. Knowing how to analyze customer behavior and market trends makes you highly valuable to product and marketing teams across industries.
Is this online market research course actually free?
Yes. You can access all 12 modules, 84 video lessons, and the AI tutor quizzes completely for free. You only pay if you decide to add the optional verified certificate to your profile later.
How long does this market research training take to complete?
The course includes about 1 hour of curated video lessons. Since it is entirely self-paced, you can easily finish the videos and the accompanying AI quizzes in a single afternoon or spread them across a few days.
Will I get a market research certification?
You can earn an optional paid certificate after completing the lessons and quizzes. This verifiable certificate proves your new skills in product metrics and market analysis, which you can easily attach to your resume or LinkedIn profile.
Do I need coding skills for this product analytics training?
No coding experience is required. This course focuses on the concepts of product analytics, market research techniques, and data visualization strategies rather than the technical programming required to build the actual tracking tools.
Are there any scheduled classes for this program?
No. The entire syllabus is pre-recorded and self-paced. You can watch the curated video lessons and take the AI-generated quizzes whenever it fits your schedule, making it perfect for busy students or working professionals.
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