Analytics Foundation
3 tools & skills
Where every analyst starts: working with data, querying it and reasoning about it.
- Excel
- SQL
- Statistics
Variablz Academy · Flagship Career Program
One complete career program to learn Analytics tools, build real-world projects, choose the right career path, and continuously upgrade your skills as the industry evolves.
100% Free Live project sessions, placement training and lifetime technical support, free for every student who joins.
Next batch
The problem
AI is automating more routine single-tool work: formulas, basic queries, standard dashboards. Skills that depend on one tool are the easiest to automate. Many Analytics roles now ask for skills across the whole ecosystem: data, tools, analysis and AI, together.
Analytics Professional answers all of them in one place. One program that covers the whole ecosystem, shows you which skills matter for your target role, and gives you real projects to apply them.
How it works
Three stages. One complete journey from learning to career, with technical support for life. You pay only for Stage 1; Stages 2 and 3 and technical support are free.
The complete Analytics ecosystem, from Excel and SQL to BI, Python, Statistics and AI.
See stageSolve realistic business problems across industries and build a portfolio.
See stageSix live sessions and three 1:1 mentor sessions to prepare your resume, interviews and job applications.
See stageStage 1 of 3 Program fee
Four months of structured, live learning that starts with your batch.
The core idea
Analytics is not one tool. Modern analytics professionals work across spreadsheets, databases, BI platforms, programming, statistics, visualization and AI.
3 tools & skills
Where every analyst starts: working with data, querying it and reasoning about it.
5 tools & skills
Turn prepared data into models, measures and dashboards people use.
6 tools & skills
Analyse, visualise and share data with code.
4 tools & skills
Test ideas and measure what actually changed.
6 tools & skills
Work faster and go deeper with AI across every tool you use.
The AI area is updated continuously as new tools and capabilities reach the industry.
Curriculum
An enterprise-grade curriculum: the tools, analytical skills, projects and career preparation, modelled on how enterprise analytics teams work, in one program.
11 tools 102 modules
Complete Microsoft Excel for Analytics and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete Power BI and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete Advanced Statistics for Analytics and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete Data Analysis with Pandas & NumPy and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete Sreamlit for Analytics Apps and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete AI-Powered Analytics and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete SQL Analytics and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete DAX and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete Python for Analytics and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete Data Visualizaiton with Matplotlib & Seaborn and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Complete Tableau Public and pass all its assignments to receive your Aadhaar-verified Tool Mastery Certificate.
Every certificate is issued in your name and verified with your Aadhaar number.
For each and every tool you complete and pass all its assignments, you receive an Aadhaar-verified Tool Mastery Certificate. 11 tools in the curriculum, 11 certificates to earn.
View full size Complete all the tools and pass 2 Real-World Projects to receive the Analytics Professional master certificate.
View full size AI-ready analytics
AI is changing how analysts write SQL, clean data, analyze datasets, build dashboards, generate insights and automate repetitive work. Analytics Professional evolves with the industry.
The core skills: querying, modelling, visualising and interpreting data yourself.
AI helps you write, clean, check and explain your work faster.
AI takes on parts of the analysis itself, with you directing and validating it.
AI doesn’t replace the analyst. It’s a growing set of productivity and analytical capabilities, and the analysts who know how to direct and check it get the most from it.
Technical support
A dedicated Discord technical community for your course questions. It starts on day 1 of your classes and stays with you after you complete the course.
100% Free Lifetime technical support for every student who joins.
You join the community when your classes start, so help is there from your very first session.
Each tool has its own channel, so your question reaches the right place and past answers are easy to find.
Ask about concepts, errors, formulas, queries and code from the subjects you learned.
Keep asking after you complete the course, whenever a question about these tools comes up at work.
Tool channels
Stage 2 of 3 100% Free
Once you’ve completed the tools, join live project sessions on weekday evenings and put them to work on realistic business problems.
Real-world projects
After learning the tools, apply them to realistic projects inspired by different industries.
You’re not limited to a set number of projects.
Join as many projects as you like
365 days to join any project, counted from the day you complete Stage 1.
Learn how to turn sales data into actionable business insights that help organizations improve revenue, performance, and decision-making.
Learn how to turn marketing data into actionable insights that help organizations optimize campaigns, understand customers, and drive growth.
Turn financial data into actionable insights that support better financial planning, performance analysis, and business decisions.
Use supply chain data to identify inefficiencies, improve planning, and support smarter supply chain decisions.
Analyze logistics operations to improve delivery performance, resource utilization, and operational efficiency.
Use support data to identify recurring issues, improve service performance, and optimize IT operations.
Turn inventory data into insights that help maintain the right stock levels, reduce inefficiencies, and improve inventory decisions.
Analyze customer data to understand behavior, improve customer experience, and support stronger retention and growth.
Turn online business data into insights that improve customer journeys, sales performance, and e-commerce growth.
Turn healthcare data into actionable insights that support operational efficiency, service quality, and better business decisions.
Use workforce data to understand employee trends, improve workforce planning, and support better people decisions.
Analyze sales, customers, products, inventory, and store performance to improve retail business decisions.
The objective of this program is not to make you a Marketing Analyst or Finance Analyst. It is to build you into an Analytics Professional who can apply analytical skills across different business functions and industries.
Stage 3 of 3 100% Free
Live training to prepare your resume, interviews and job applications, one session at a time.
Career opportunities
These roles usually ask for a mix of tools, not just one. Analytics Professional covers the tools they commonly list, so one program builds the skills for all of them.
Turn raw data into answers.
Connect business problems to data.
Model data and ship Power BI reports.
Build the KPIs and dashboards teams run on.
Automate and scale analysis with code.
Tell the story visually in Tableau.
Own the reports leaders check every week.
Apply analytics in any industry.
Why bet on one role? Learn once. Build skills for all eight.
Placement training
Free for every student who joins. Once you complete Stage 1, six live sessions prepare you to apply for Analytics roles: your resume, interview calls, coding and technical rounds, and applying on job portals.
Prepare
Build an Analytics resume around your projects, then have it reviewed.
Interview skills
Learn how to speak on a screening call with a clear, confident story.
Interview skills
Learn how to prepare for the SQL and Python tests Analytics roles use.
Interview skills
Commonly asked technical interview questions, shared with you to revise from.
Apply
Learn to check your resume’s ATS score in our Jobz app before you apply.
Apply
Learn how to find and apply for jobs on various job portals.
Alongside the six live sessions, you get three one-to-one sessions with a mentor for personal guidance as you prepare and apply.
Placement training is career-preparation training only. Variablz Academy does not arrange interviews or interview calls and does not guarantee a job, an interview or a salary. Past results are no guarantee of future outcomes.
Who this is for
Build job-ready analytical skills before graduation.
Develop practical skills beyond academic knowledge.
Move into Analytics with a structured learning path.
Expand your existing skills and become more effective with data.
Build practical analytics capability without needing a traditional programming background.
What makes this different
No need to buy separate courses for every analytics tool.
One skill set covering the tools most Analytics roles ask for, so you’re not limited to one job title.
Project learning for 1 year across multiple domains.
Modelled on the data scale, tool stack and reporting standards used in enterprise analytics teams.
Build projects that demonstrate what you can actually do.
AI is built into the tools you learn, and kept up to date as the industry changes.
Learn the tools. Build real-world projects. Choose your career path. Keep evolving with Analytics and AI.
Program fee
₹30,000
Choose your batch to see its dates and join the program.
Stage 1 4 months
Program feeLearn Analytics Tools
12 Oct 2026 – 11 Feb 2027
Recordings available until 11 Oct 2028
Stage 2 1 year
100% FreeApply Real-World Projects
12 Feb 2027 – 11 Feb 2028
Join any number of projects, 8:30 pm IST, Mon–Fri, plus recordings
Stage 3 6 live sessions
100% FreeGet Placement Training
From 12 Feb 2027
Plus 3 individual 1:1 mentor sessions
Support Lifetime
100% FreeGet Technical Support
From 12 Oct 2026
Discord community for course Q&A, by tool
Morning Batch Starts Mon, 12 Oct 2026 · 11:00 am IST
Join Morning BatchStage 1 4 months
Program feeLearn Analytics Tools
12 Oct 2026 – 11 Feb 2027
Recordings available until 11 Oct 2028
Stage 2 1 year
100% FreeApply Real-World Projects
12 Feb 2027 – 11 Feb 2028
Join any number of projects, 8:30 pm IST, Mon–Fri, plus recordings
Stage 3 6 live sessions
100% FreeGet Placement Training
From 12 Feb 2027
Plus 3 individual 1:1 mentor sessions
Support Lifetime
100% FreeGet Technical Support
From 12 Oct 2026
Discord community for course Q&A, by tool
Evening Batch Starts Mon, 12 Oct 2026 · 7:00 pm IST
Join Evening BatchFAQ
Still deciding? Here’s what people ask most before joining.
Yes. The program starts with Analytics Foundations: analytical thinking, data types, business metrics and data cleaning, before any tool. No prior analytics experience is assumed.
No. Excel, SQL and BI tools don’t need a programming background, and Python is taught from the fundamentals when you reach it.
Because AI is making single-tool skills easier to automate. Knowing only Excel, SQL, Power BI, or Python may not be enough to stay valuable. Many roles need professionals who can extract data, analyze it, build insights, and turn those insights into business decisions.
That’s why this program focuses on the complete Analytics ecosystem — helping you build broader, AI-resilient analytical skills instead of becoming dependent on a single tool.
The program builds skills aligned with roles such as Data Analyst, Business Analyst, BI Analyst, Power BI Developer, Tableau Developer, Python Data Analyst, Reporting Analyst and MIS / Analytics roles. The program builds the skills and portfolio these roles look for.
Both are covered. They solve similar problems, and the concepts (data modeling, calculations and dashboard design) carry over from one to the other. Look at the job listings for the roles you’re targeting and go deeper in the tool they ask for most.
Python matters more for roles that involve larger datasets, automation or deeper statistical work, and it’s part of the program when you’re ready for it.
Yes. After learning the tools you apply them to realistic projects that follow the full workflow: business problem, data, cleaning, analysis, visualization, insights and recommendations.
Yes: Sales, Marketing, Finance, Logistics, HR, Healthcare, Manufacturing, E-commerce, Customer and Operations. They’re project domains, not separate courses. The aim is to apply the same analytical skills across different business environments.
Yes. Analytics Professional is an AI integrated course: as AI changes how analysts write SQL, clean data and build dashboards, it is built into the tools you learn.
Stage 1, learning the tools, is 4 months of live online classes from your batch start date, with 2 years of access to the recordings. Stage 2, real-world projects, runs as live evening sessions at 8:30 pm IST, Monday to Friday: for 365 days from the day you complete Stage 1 you can join as many projects as you like, with 1 year of access to the recordings. Stage 3, placement training, also starts once you complete Stage 1: 6 live sessions plus 3 individual one-to-one mentor sessions. Technical support on our Discord community starts on day 1 of your classes and is for life.
Once you complete Stage 1, you join 6 live placement training sessions: building your resume and having it reviewed, speaking on telephonic interview calls, preparing for coding rounds (with access to problem-solving videos), commonly asked technical Q&A, checking your resume’s ATS score in our Jobz app before you apply, and applying for jobs on various job portals. You also get 3 individual one-to-one sessions with a mentor.
From day 1 of your classes you join our dedicated Discord technical community, with a channel for each tool (Excel, SQL, Power BI, Tableau, Python, Statistics and AI for Analytics). Ask your course-related questions there. Your access is for life, so you can keep asking questions about these subjects and tools even after you complete the course. It is free for every student who joins.
Yes. You pay only for Stage 1 (Stages 2 and 3 and technical support are free), and refunds are pro-rata: email support@variablz.com from the address you joined with, and that day is your last day. The refund is the total fee paid, minus a daily charge (total fee ÷ 120) for each day from your batch start date to your last day, minus a 5% platform handling charge. It is paid within 15 days. The full Refund Policy is linked below the program fee.
Yes. The program is built for working professionals too, whether you want to move into Analytics or become more effective with the data you already use.