Data Analysis Mastery Course
The honest analyst toolkit in the order jobs use it: Excel done properly, statistics and SQL, then Python, BI dashboards and the industry literacy that makes analysis land.
Syllabus updated August 2026
Recordings are free with a Google sign-in. These recordings show how we teach, not the exact syllabus of this course.
How long this course takes
This course runs 8-10 months (35-43 weeks) at 2 live classes/week + 4-6 hours practice. The range allows for background and pace: a complete beginner uses the full span, and a student with prior knowledge finishes sooner. The syllabus below is planned to the shorter end, with margin kept for revision.
For personalised duration planning, call +91 91233 66161 and we'll map a schedule to your goals.
At a glance
- Who it is for
- Complete beginner (18+); college students, graduates and working professionals. Age: 18+; college students, graduates and working professionals.
- Prerequisites
- None. Everything is taught from the first line
- Format
- Live, interactive classes with a real instructor, never pre-recorded videos. Live classes run about one hour.
- Language
- English or Hindi, depending on the batch.
- Duration
- 8-10 months (35-43 weeks)
- Weekly commitment
- 2 live classes/week + 4-6 hours practice
- Class size
- Group batches of 5 to 10 students, mini batches of 3 to 4, or 1-on-1.
- Certificate
- Certificate from Modern Age Coders, awarded on passing the final exam
- Watch first
- Free recordings of real classes for ages 13 and up, free with a Google sign-in. These recordings show how we teach, not the exact syllabus of this course.
- Live demo
- Optional. Enroll directly on this page, or book a free live demo if you would like to meet a mentor first.
How we teach
Deep understanding. Real projects. Expert guidance.
Learn coding, AI and maths through careful explanations, practical demonstrations, and hands-on problem-solving. Our instructors guide you from the foundations to advanced ideas, helping you understand what happens, why it happens, and how to build it yourself.
You will explore concepts step by step, write and improve code, investigate mistakes, ask questions, and apply your knowledge to meaningful projects. Lessons are designed around active participation, thoughtful feedback, and growing independence.
Expert-led live teaching, with practical participation built into every lesson.
- Students explain their thinking.
- Instructors demonstrate, then guide practice.
- Learners code, solve, or build during lessons.
- Questions and misconceptions get attention.
- Assignments receive useful feedback.
- Progress is checked before advancing.
Ready to Master Data Analysis Course: Excel, SQL, Python & BI?
Choose your plan and start your journey into the future of technology today.
Rated 4.9 across 547 Google reviews. Enroll directly, or see a class first. The free demo is a waiting list and needs no card. Monthly billing, cancel anytime.
Try this course in a full live class, today or tomorrow.The Priority Live Demo is a real class of about 45 to 60 minutes with a mentor reserved for you. You get a written skill report afterwards, and the fee is adjusted against your first month if you enrol.
Book priority demo · ₹499International Students (Outside India)
Billed monthly in US dollars, the same price in every country. Contact us with any questions.
Program Overview
Data analyst is the most reachable serious tech role there is, and the job is concrete: take messy business data, make it trustworthy, and turn it into answers a decision-maker can act on. This live online course teaches exactly that craft in the order real work uses it: Excel to genuine mastery first, because it remains the language of business, with the statistics that keep analysis honest, then SQL to production analyst level including window functions, then the Python layer: Pandas for cleaning and transformation, real exploratory analysis, visualization, BI dashboards and data storytelling, plus practical machine learning for analysts. The third phase adds what bootcamps skip: industry literacy across finance, healthcare, retail, supply chain and HR analytics, cloud platforms, and the advanced statistical methods behind A/B tests. A finale month ships a portfolio capstone and sits the final exam.
The pace is honest: about seven months of teaching at two live classes a week plus four to six hours of practice, with margin built in for revision and life. Problem sets, monthly mixed reviews, phase exams, and a final exam that decides the certificate with a free retest.
What Makes This Program Different
- Excel respected, not skipped: business still speaks it, so analysts must own it
- SQL to real analyst depth: joins, aggregation and window functions, not SELECT-star tutorials
- Storytelling as a core skill: analysis that changes decisions, not chart dumps
- Industry literacy included: finance, healthcare, retail, supply chain and HR analytics
- An honest 8-month arc with 2 months in hand
- Real assessment: weekly problem sets, monthly mixed reviews, phase exams and a final exam with a free retest
Your Learning Journey
Career Progression
Detailed Course Curriculum
Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.
Topics Covered
- What is data analysis? Role in modern business
- Types of data: structured, unstructured, semi-structured
- Data analysis lifecycle and methodology
- Quantitative vs qualitative analysis
- Descriptive, diagnostic, predictive, prescriptive analytics
- Industry applications and case studies
- Tools ecosystem overview
- Career paths in data analysis
- Setting up your analysis environment
- Introduction to datasets and data sources
- Data ethics and privacy considerations
- Building analytical thinking
Projects You Build
- Personal data audit project
- Industry analysis report
- Data source catalog creation
Practice & Assignments
Analyze 10 real-world data scenarios
Topics Covered
- Excel interface mastery and shortcuts
- Data types and formatting
- Cell references: absolute, relative, mixed
- Essential formulas: SUM, AVERAGE, COUNT, MIN, MAX
- Logical functions: IF, AND, OR, NOT
- Nested IF statements and IFS function
- Text functions: CONCATENATE, LEFT, RIGHT, MID, TRIM
- Date and time functions
- Mathematical functions: ROUND, ABS, MOD
- Error handling: IFERROR, IFNA
- Formula auditing and debugging
- Named ranges and structured references
Projects You Build
- Sales calculator dashboard
- Employee timesheet system
- Grade calculation spreadsheet
Practice & Assignments
Complete 50 Excel formula challenges
Topics Covered
- LOOKUP functions: VLOOKUP, HLOOKUP, XLOOKUP
- INDEX and MATCH combinations
- SUMIF, COUNTIF, AVERAGEIF functions
- SUMIFS for multiple criteria
- Array formulas and dynamic arrays
- FILTER, SORT, UNIQUE functions
- Statistical functions in Excel
- Financial functions: NPV, IRR, PMT
- Database functions: DSUM, DCOUNT
- INDIRECT and OFFSET for dynamic references
- Creating custom functions with VBA basics
- Excel automation introduction
Projects You Build
- Dynamic sales report system
- Financial analysis model
- HR analytics dashboard
Practice & Assignments
Build 25 complex Excel solutions
Topics Covered
- Types of data: nominal, ordinal, interval, ratio
- Population vs sample
- Measures of central tendency: mean, median, mode
- Measures of spread: range, variance, standard deviation
- Quartiles and interquartile range
- Skewness and kurtosis
- Normal distribution and z-scores
- Central limit theorem basics
- Confidence intervals introduction
- Hypothesis testing concepts
- P-values and significance levels
- Type I and Type II errors
Projects You Build
- Statistical analysis report
- A/B testing simulator
- Quality control dashboard
Practice & Assignments
Perform 30 statistical analyses
Topics Covered
- PivotTables creation and customization
- PivotTable calculations and summaries
- Slicers and timeline filters
- PivotCharts and interactive dashboards
- Power Pivot introduction
- Data Model and relationships
- DAX formulas basics
- What-if analysis: Goal Seek, Scenario Manager
- Data tables for sensitivity analysis
- Solver for optimization problems
- Analysis ToolPak features
- Regression analysis in Excel
Projects You Build
- Sales performance dashboard
- Budget optimization model
- Multi-dimensional analysis cube
Practice & Assignments
Create 20 PivotTable reports
Topics Covered
- Chart types and when to use them
- Column, bar, and line charts
- Pie charts and donut charts
- Scatter plots and bubble charts
- Combination charts
- Sparklines for inline visualization
- Conditional formatting techniques
- Data bars, color scales, icon sets
- Heat maps and treemaps
- Waterfall and funnel charts
- Chart formatting and design principles
- Creating interactive dashboards
Projects You Build
- Executive dashboard
- KPI scorecard
- Interactive sales report
Practice & Assignments
Design 30 data visualizations
Topics Covered
- Database concepts and relational model
- SQL syntax and structure
- SELECT statements and filtering with WHERE
- Sorting with ORDER BY
- LIMIT and OFFSET for pagination
- DISTINCT for unique values
- Aggregate functions: COUNT, SUM, AVG, MIN, MAX
- GROUP BY for aggregation
- HAVING clause for group filtering
- Working with NULL values
- Date and time functions in SQL
- String manipulation in SQL
Projects You Build
- Customer analysis queries
- Sales performance reports
- Inventory tracking system
Practice & Assignments
Write 100 SQL queries
Topics Covered
- Understanding table relationships
- INNER JOIN for matching records
- LEFT and RIGHT OUTER JOINS
- FULL OUTER JOIN usage
- CROSS JOIN and Cartesian products
- Self joins for hierarchical data
- Multiple joins in complex queries
- Subqueries and nested queries
- Correlated subqueries
- Common Table Expressions (CTEs)
- UNION, INTERSECT, EXCEPT operations
- Query optimization basics
Projects You Build
- Multi-table reporting system
- Customer journey analysis
- Supply chain analytics
Practice & Assignments
Master 50 complex join scenarios
Topics Covered
- Window functions introduction
- ROW_NUMBER, RANK, DENSE_RANK
- Running totals with SUM() OVER
- Moving averages with AVG() OVER
- LAG and LEAD for time comparisons
- FIRST_VALUE and LAST_VALUE
- Percentile calculations
- Pivoting and unpivoting data
- CASE statements for conditional logic
- Creating views for reusable queries
- Stored procedures basics
- Database performance tuning
Projects You Build
- Time series analysis system
- Cohort analysis platform
- RFM segmentation model
Practice & Assignments
Build 30 analytical queries
Topics Covered
- Python setup for data analysis
- Jupyter Notebook environment
- Variables and data types
- Lists, tuples, dictionaries
- Control flow: if, for, while
- Functions and lambda expressions
- File handling and CSV processing
- Error handling basics
- Libraries: NumPy basics
- Introduction to Pandas
- Reading data from various sources
- Google Colab for cloud computing
Projects You Build
- Data processing pipeline
- File converter utility
- Analysis automation script
Practice & Assignments
Complete 50 Python exercises
Assessment
Phase 1 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Pandas Series and DataFrames
- Creating DataFrames from various sources
- Reading CSV, Excel, JSON files
- DataFrame indexing and selection
- loc and iloc for data access
- Column operations and manipulation
- Adding and removing columns
- Data type conversions
- Sorting and ranking data
- Handling duplicate data
- Reset and set index
- DataFrame information and summary
Projects You Build
- Data loader utility
- DataFrame explorer tool
- Data profiling system
Practice & Assignments
Complete 60 pandas exercises
Topics Covered
- Identifying missing data patterns
- Handling missing values strategies
- fillna, dropna, interpolate methods
- Data type issues and conversions
- String cleaning and standardization
- Regular expressions for data cleaning
- Handling outliers detection and treatment
- Data validation techniques
- Dealing with inconsistent data
- Date and time parsing
- Encoding categorical variables
- Data quality metrics
Projects You Build
- Data cleaning pipeline
- Quality assurance tool
- Automated data validator
Practice & Assignments
Clean 25 messy datasets
Topics Covered
- GroupBy operations in pandas
- Aggregation functions: sum, mean, count
- Multiple aggregations with agg()
- Transform and apply functions
- Pivot tables in pandas
- Crosstab for frequency tables
- Melt and wide-to-long reshaping
- Merging and joining DataFrames
- Concatenating data
- Window functions in pandas
- Rolling statistics
- Resampling time series data
Projects You Build
- Sales analytics engine
- Customer segmentation tool
- Time series processor
Practice & Assignments
Perform 40 transformation tasks
Topics Covered
- EDA methodology and workflow
- Univariate analysis techniques
- Bivariate analysis methods
- Multivariate exploration
- Distribution analysis
- Correlation analysis
- Statistical testing in Python
- Feature engineering basics
- Dimensionality reduction intro
- Automated EDA tools
- Creating EDA reports
- EDA best practices
Projects You Build
- Automated EDA pipeline
- Data insights generator
- Statistical report builder
Practice & Assignments
Complete EDA on 20 datasets
Topics Covered
- Matplotlib basics and figure structure
- Line plots, scatter plots, bar charts
- Customizing plots: colors, labels, legends
- Subplots and figure layouts
- Saving and exporting figures
- Seaborn for statistical visualization
- Distribution plots: histograms, KDE, box plots
- Categorical plots: bar, count, violin
- Relationship plots: scatter, line, regression
- Heatmaps and correlation matrices
- Pair plots for multivariate analysis
- Style and theme customization
Projects You Build
- Visualization library
- Statistical plot generator
- Report automation system
Practice & Assignments
Create 50 visualizations
Topics Covered
- Introduction to Tableau
- Connecting to data sources in Tableau
- Creating worksheets and dashboards
- Calculated fields and parameters
- Filters and hierarchies
- Tableau story creation
- Power BI fundamentals
- Data modeling in Power BI
- DAX formulas for calculations
- Power BI service and sharing
- Google Data Studio basics
- Choosing the right BI tool
Projects You Build
- Tableau executive dashboard
- Power BI sales report
- Cross-platform BI solution
Practice & Assignments
Create 15 BI dashboards
Topics Covered
- Principles of data storytelling
- Narrative structure for data
- Choosing the right visualization
- Color theory and design principles
- Minimalism and clarity
- Annotation and highlighting insights
- Creating compelling presentations
- Executive communication strategies
- Handling questions and objections
- Written reports and documentation
- Video presentations of data
- Stakeholder management
Projects You Build
- Data story presentation
- Executive briefing deck
- Insight communication toolkit
Practice & Assignments
Present 10 data stories
Topics Covered
- Introduction to machine learning
- Supervised vs unsupervised learning
- Training and test data splitting
- Feature selection and engineering
- Scikit-learn library basics
- Linear regression implementation
- Logistic regression for classification
- Decision trees and random forests
- Model evaluation metrics
- Cross-validation techniques
- Overfitting and underfitting
- Hyperparameter tuning basics
Projects You Build
- Sales prediction model
- Customer churn predictor
- Classification system
Practice & Assignments
Build 20 ML models
Topics Covered
- K-means clustering algorithm
- Hierarchical clustering
- DBSCAN for density-based clustering
- Determining optimal clusters
- Customer segmentation strategies
- Market segmentation analysis
- Behavioral segmentation
- Dimensionality reduction with PCA
- t-SNE for visualization
- Anomaly detection methods
- Outlier detection algorithms
- Practical segmentation applications
Projects You Build
- Customer segmentation engine
- Anomaly detection system
- Market analysis tool
Practice & Assignments
Perform 15 clustering analyses
Topics Covered
- Working with APIs in Python
- RESTful API concepts
- Authentication and API keys
- Requests library for API calls
- JSON data handling
- Web scraping with BeautifulSoup
- Automating data collection
- Scheduling scripts with cron/Task Scheduler
- Email automation for reports
- Cloud functions for automation
- ETL pipeline creation
- Real-time data processing basics
Projects You Build
- API data collector
- Automated reporting system
- ETL pipeline
Practice & Assignments
Build 10 automation scripts
Assessment
Phase 2 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Financial statements analysis
- Ratio analysis and metrics
- Cash flow analysis
- Working capital management
- Investment analysis metrics
- Risk metrics: VaR, Sharpe ratio
- Portfolio analysis basics
- Credit risk scoring
- Fraud detection techniques
- Time value of money calculations
- Financial forecasting models
- Regulatory reporting basics
Projects You Build
- Financial dashboard
- Risk assessment model
- Fraud detection system
Practice & Assignments
Analyze 15 financial datasets
Topics Covered
- Healthcare data types and standards
- Patient data analysis
- Clinical trial analysis
- Healthcare KPIs and metrics
- Disease prediction models
- Patient readmission analysis
- Healthcare cost analysis
- Drug effectiveness studies
- Population health management
- HIPAA compliance basics
- Medical coding systems
- Healthcare dashboards
Projects You Build
- Patient analytics dashboard
- Readmission predictor
- Healthcare KPI tracker
Practice & Assignments
Work with 10 healthcare datasets
Topics Covered
- Retail metrics and KPIs
- Sales performance analysis
- Inventory analytics
- Customer basket analysis
- Product recommendation systems
- Price optimization strategies
- Demand forecasting
- Customer journey mapping
- Conversion rate optimization
- Return analysis
- Store performance comparison
- Omnichannel analytics
Projects You Build
- Retail analytics platform
- Recommendation engine
- Inventory optimizer
Practice & Assignments
Analyze 20 retail scenarios
Topics Covered
- Supply chain metrics and KPIs
- Demand planning and forecasting
- Inventory optimization
- Supplier performance analysis
- Transportation analytics
- Warehouse efficiency metrics
- Order fulfillment analysis
- Supply chain risk assessment
- Network optimization
- Logistics analytics
- Procurement analytics
- Sustainability metrics
Projects You Build
- Supply chain dashboard
- Demand forecasting model
- Route optimization tool
Practice & Assignments
Optimize 10 supply chain processes
Topics Covered
- HR metrics and KPIs
- Employee turnover analysis
- Recruitment analytics
- Performance management metrics
- Compensation analysis
- Diversity and inclusion metrics
- Employee engagement analysis
- Workforce planning
- Talent analytics
- Learning and development metrics
- Succession planning analytics
- HR dashboard creation
Projects You Build
- HR analytics dashboard
- Turnover prediction model
- Compensation analyzer
Practice & Assignments
Analyze 15 HR scenarios
Topics Covered
- Cloud computing fundamentals
- AWS for data analytics
- S3 for data storage
- Athena for SQL queries
- Redshift data warehouse
- Google Cloud Platform basics
- BigQuery for analytics
- Azure data services
- Databricks introduction
- Snowflake basics
- Cloud cost optimization
- Security in cloud analytics
Projects You Build
- Cloud migration project
- BigQuery analytics pipeline
- Multi-cloud solution
Practice & Assignments
Deploy 10 cloud analytics solutions
Topics Covered
- Building an analytics portfolio
- GitHub for data analysts
- Creating compelling case studies
- Documentation best practices
- Jupyter notebook presentation
- Blog writing for analysts
- Personal website creation
- Kaggle competitions
- Contributing to open source
- Networking strategies
- Building online presence
Projects You Build
- Portfolio website
- 5 detailed case studies
- GitHub repository organization
Practice & Assignments
Complete portfolio preparation
Topics Covered
- Bayesian statistics introduction
- Time series advanced techniques
- ARIMA models
- Survival analysis
- Factor analysis
- Structural equation modeling
- Monte Carlo simulations
- Bootstrapping methods
- Non-parametric tests
- Multivariate analysis
- Experimental design
- Causal inference basics
Projects You Build
- Advanced statistical toolkit
- Simulation framework
- Causal analysis project
Practice & Assignments
Implement 10 advanced methods
Topics Covered
- Data pipeline architecture
- ETL vs ELT strategies
- Apache Airflow basics
- Data quality frameworks
- Data governance principles
- Master data management
- Data cataloging
- Metadata management
- Data lineage tracking
- DataOps practices
- CI/CD for data pipelines
- Monitoring and alerting
Projects You Build
- ETL pipeline
- Data quality monitor
- Automated data pipeline
Practice & Assignments
Build 5 data pipelines
Topics Covered
- Strategic analytics frameworks
- Competitive intelligence
- Market analysis techniques
- Customer analytics strategy
- Product analytics
- Growth analytics
- Pricing analytics
- Risk analytics
- Performance management
- Balanced scorecard
- OKR tracking and analysis
- Executive advisory skills
Projects You Build
- Strategy dashboard
- Competitive analysis report
- Growth model
Practice & Assignments
Develop 5 strategic analyses
Assessment
Phase 3 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Choosing the capstone: a complete analyst project: a real business dataset cleaned, analysed and delivered as a dashboard with a recommendation deck
- A one-page spec: scope, milestones, stack
- Repository and skeleton ready on day one
- Instructor sign-off before the build begins
Projects You Build
- Approved capstone spec plus the running skeleton
Practice & Assignments
Pitch the spec to the batch and absorb one hard question
Topics Covered
- Two focused weeks in vertical slices
- Instructor checkpoints and honest scope cuts
- Using the whole course: Excel judgment, SQL, Pandas, visualization, storytelling and the statistics that keep it honest
- Daily commits and an always-working build
Projects You Build
- The capstone, feature-complete with version control
Practice & Assignments
A working build at the end of every session
Topics Covered
- The finishing pass: edge cases, errors, documentation
- Dashboard live and deck delivered: analysis a decision-maker can actually use
- A README worth reading and a demo worth watching
- A full-course spiral review before the exam
Projects You Build
- The capstone shipped, documented and rehearsed
Practice & Assignments
Two mock demos, each tighter than the last
Topics Covered
- Presenting the capstone: live demo plus the hardest bug story
- The honest map of next roads: analyst roles, business intelligence depth, or the road into data science
- Where our other courses continue the journey
Projects You Build
- Demo day presentation delivered to the batch
Assessment
FINAL EXAM: a practical build plus a written paper with questions mixed from every phase. Passing earns the certificate; falling short earns a focused revision plan and a free retest
Projects You'll Build
Build a professional portfolio with 15+ real analyses, crowned by a portfolio capstone with dashboard and deck real-world projects.
Weekly Learning Structure
Certification & Recognition
Technologies & Skills You'll Master
Comprehensive coverage of the entire modern web development stack.
Support & Resources
Career Outcomes & Opportunities
Transform your career with industry-ready skills and job placement support.
Prerequisites
Who Is This Course For?
Career Paths After Completion
Salary & Market Context
The ranges below are general market salary bands for these roles in India and abroad, drawn from public industry data. They are shown for career context only and are not a promise or guarantee of income. Actual pay depends on your skills, experience, location, and the job market.
Course Guarantees
Real students. Real moments. Real joy.
These are our actual student meetups. No stock photos, no filters. Swipe through and meet the community you'll be joining.
What families say
Straight from the parents and students who learn with us. Rated 4.9 across 547 Google reviews.
“Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He started taking interest in coding… truly amazing class.”
“I absolutely love it here! I made new friends and learned important valuable coding skills while having the fun of my life. It's not just coding here, it's outings, bonding and most importantly preparing you for your future. Definitely five stars.”
“What stands out most is how excited my son is before every class. He looks forward to learning, problem-solving, and sharing what he's built. I've noticed a big boost in his confidence!”
“Modern Age Coders has been a game-changer for me! I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I'm now the topper in my class and can confidently write complex programs with ease.”
“Modern Age Coder have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence, keeps them updated with technology, and inspires them to learn without hesitation.”
“The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it.”
“Coding classes here make learning very interesting and conceptual. The teachers teach us in a very easy-to-understand and efficient manner.”
“One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development. Learning here has been a wonderful journey and still continuing.”
“I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding. They make every session engaging and insightful.”
“My child Dhairya is really enjoying the Modern Age Coder IT classes. This is his first online class, and he eagerly looks forward to it.”
“Very good classes. Don't worry about coding. They teach the best, especially Shivam sir.”
“Very good classes. Makes learning very easy and interactive.”
Hear it from our students
Real parents and students in their own words, on our public YouTube channel.
Straight answers about Data Analysis Course: Excel, SQL, Python & BI
- Who should take this course?
- Complete beginner (18+); college students, graduates and working professionals. Age: 18+; college students, graduates and working professionals. It suits students who want the most reachable serious data role; professionals whose jobs already involve spreadsheets and reporting; newcomers who want a concrete, employable data skill without a maths gauntlet.
- What will they learn and build?
- Data analyst is the most reachable serious tech role there is, and the job is concrete: take messy business data, make it trustworthy, and turn it into answers a decision-maker can act on.
- How deeply are topics covered?
- The course runs 8-10 months (35-43 weeks) at 2 live classes/week + 4-6 hours practice, across 4 phases listed week by week in the syllabus below. A structured, well-paced curriculum taught step by step, with classwork in every session and problem sets after every class.
- Who teaches it?
- Modern Age Coders mentors, who teach the live classes themselves. You can watch them at work in the free class recordings before you decide.
- How do practice, feedback and assessment work?
- Monthly mixed reviews, cumulative phase exams, and a final exam that decides the certificate: real knowledge, real work. Doubt support between classes over WhatsApp, so you are never left stuck. A certificate you earn by passing the final exam, with a free retest after revision if needed.
- What does it cost?
- Three monthly plans: a group batch, a mini batch and 1-on-1. Prices are shown in your currency in the plans section. Monthly billing, cancel any time.
- When can classes take place?
- Live classes are scheduled around your week. Group batches meet at a fixed weekly slot; 1-on-1 students choose their own. International students are scheduled in their own timezone. Ask on WhatsApp for the current slots.
- Can I watch the teaching before deciding?
- Yes. Full recordings of real 13 and up classes are free to watch, free with a Google sign-in. These recordings show how we teach, not the exact syllabus of this course. Some classes are in English and some in Hindi; everyone follows at their own pace. Watch a class end to end, like you are in it. Sessions are interactive and each moment builds on the last.
- Can I enroll without a live demo?
- Yes. Choose a plan on this page and enroll directly; a booking or a demo is not required. A free live demo is optional, for anyone who wants to meet a mentor first. Outside India, our team confirms the plan and completes payment with you over WhatsApp, so allow a little time for that step.
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