TTFA Academy · A fellowship for people at work
For MIS, ops or finance reporting in ExcelData Analyst
The long road: SQL, Tableau, Power BI, Alteryx and Python on live projects, for people who want the whole analyst job, not one tool. From MIS, ops or finance reporting in Excel to Data Analyst, taught by people who do the job.
Designed for AI-native analyst roles: the Generative AI for Analysts module teaches prompting for SQL, Copilot in Power BI and Tableau Agent, and how to check what they produce.
Curriculum updated
Applied Data Analytics Fellowship is a live online program for the MIS, ops or finance reporting in Excel: the next step is being seen as a data Analyst. The long road: SQL, Tableau, Power BI, Alteryx and Python on live projects, for people who want the whole analyst job, not one tool. Classes run over 24–36 weeks on weeknight evenings and weekends in IST and are recorded the same day, so a late shift doesn't cost you the week. You work in SQL, Tableau, Power BI, Alteryx and Python on projects modelled on the mentors' production work, each reviewed 1:1, with doubt-solving on the LMS between classes. A counsellor confirms the batch, the schedule and the fee on one call; nothing is charged on the call.
Why this program
Results, your career, the part of the job you do by hand today, and who teaches it.
Results-focused
By the end you have SQL you wrote, a Power BI and a Tableau build your team could use, an Alteryx workflow that runs on its own, and three projects to show.
Career-focused
You already know the data. The fellowship adds what the analyst role asks for: SQL, Tableau, Power BI, Alteryx and Python, on work you can show in an interview.
Pain-point focused
The report you rebuild from exports can run itself. You learn the SQL, the prep and the refresh that make it happen, from people who run it at work.
Premium and professional
Mentors who build this in production, projects modelled on their own, 1:1 review of every build, recordings the same day. For analysts who want to be taken seriously, not for anyone collecting certificates.
Who this is for
You already do part of this job. The program closes the gap between where you are and being seen as a Data Analyst.
Probably not for you, yet
If you haven't worked in the domain at all, a counsellor will say so on the call and point you to a better starting program. If you want a certificate more than a portfolio, this isn't it.
What you'll build
Each project is modelled on the mentors' production work and reviewed 1:1. Together they are your portfolio.
Project 1
Modelled on the mentor's production work, with the messy parts left in, reviewed 1:1.
Project 2
Brief, build, review: the way a manager would hand it to you, with the checks that stop it breaking next month.
Project 3
Published, documented and defended, with the notes a senior would give you.
Curriculum
24 to 36 weeks, depending on your pace. Each module ends with an assignment a mentor reviews.
17 modules · 155 topics · pick a module to see what it covers
Module 1 of 17
Equip participants with the skills to manage, query, and analyze data efficiently using SQL tools and techniques.
SQL Introduction
Overview of SQL and Its Applications · Importance of SQL in Data Management
Application Installation
Setting Up SQL Tools (PostgreSQL, MySQL, SQL Server) · Configuring Workspaces
Introduction to Application Interface
Understanding the Query Editor · Basic Commands and Syntax
Importing Tables from Sources
Connecting to Excel and Other Data Sources · Data Import Methods
Queries & Types
DDL (Data Definition Language) · DML (Data Manipulation Language) · DCL (Data Control Language) · TCL (Transaction Control Language)
SQL Functions
Aggregate Functions (SUM, AVG, COUNT) · String and Date Functions
Keys & Constraints
Primary and Foreign Keys · Constraints for Data Integrity
Joins & Types
INNER JOIN, OUTER JOIN, LEFT JOIN, RIGHT JOIN · Cross Joins and Self Joins
Nested Queries
Writing Subqueries · Advanced Query Structures
Tools
You use each one on the kind of data your mentors handle at work, not on a toy example.
Prepares you for
The exams are the vendors' own, taken separately; TTFA is not affiliated with them.
Learn to manage and query Structured Query Language (SQL) databases efficiently.
Understand data trends and measures for informed decision-making.
Build impactful dashboards using Tableau and Power BI.
Simplify complex processes with Alteryx.
Enhance your ability to present and articulate data-driven insights.
Improve teamwork, leadership, and professional etiquette.
TTFA Academy is an independent training provider. It is not affiliated with, endorsed by or a partner of Microsoft, Salesforce or Alteryx. Microsoft, Power BI, Excel and Fabric are trademarks of the Microsoft group of companies. Tableau is a trademark of Salesforce, Inc. Alteryx is a trademark of Alteryx, Inc. Names are used only to identify the tools taught.
LMS EXPERIENCE
Learn at your pace, practice through real-world projects, build your skills, earn certifications, and discover opportunities that match your potential.
Complete industry-relevant courses designed to build practical skills and prepare you for real-world applications.
Put your learning into practice with assignments and hands-on projects designed to build practical skills and help you grow with confidence.
Practise real-world tasks with interactive simulators that help you apply your knowledge, sharpen your skills, and prepare for the workplace.
Upload and enhance your resume, then discover job and freelance opportunities matched to your skills, experience, and career goals.
Complete projects, build your skills, and unlock certifications at each level as you progress through your learning journey.
Your mentors
Names, employers and photos appear only with their written permission.
Jitendra Singh
Applied Data Analytics Fellowship
Jitendra Singh
Lead Instructor
Jitendra leads instruction at TTFA across the analytics stack: Alteryx workflows, Tableau and Power BI dashboards, SQL and Python on real company data, and the GenAI layer on top of them, from agents and MCP to RAG. He teaches the job the way it is done at work: real data, in the order you meet it, with the mistakes left in.
Arvind Tiwary
Applied Data Analytics Fellowship
Arvind Tiwary
Senior analytics consultant
Arvind trains the analyst's working stack: Python and Alteryx for preparing and automating data, SQL for querying it, and Excel for the models and reports that run on it. He teaches the consultant's habits as well: scoping the work with the person who will use it, and handing it over so it survives without you.
Sarvdeep Singh
Applied Data Analytics Fellowship
Sarvdeep Singh
Data & BI mentor
Sarvdeep mentors across the Data & BI programs: Power BI dashboards, SQL for the questions behind them, and Excel for the analysis most teams still start in, with the reporting discipline that makes an analyst's numbers trusted on a Monday morning.
How the weeks run
A counsellor confirms the exact days and times for your batch on the call.
Two evenings a week with the mentor, on the work of the week.
Project time with the mentor in the room: build, get stuck, get unstuck.
Every class recorded the same day; 1:1 doubt-solving whenever you're stuck.
Your projects reviewed like production work, with notes you can act on.
Data & BI
Programs next to this one. A counsellor will tell you which fits what you do today.
Data or MIS analyst
BI Developer
Analyst doing manual reporting
BI & Automation Consultant
Excel reporting, some pivot tables
Power BI Developer
Questions
Anything else: ask on the call.
Yes. The program assumes you know your work, not the tool. If you've never worked in the domain, a counsellor will point you to a better start.
Every class is recorded the same day, and 1:1 slots exist for exactly this. Most people who fall behind catch up in a week.
There is career support: mock interviews, profile reviews and referrals where we have them. Nobody honest can promise you a role; your projects make the case for you.
Both. Applied Data Analytics Fellowship is VILT (virtual instructor-led training): live online classes in the evenings and on weekends, in IST, recorded the same day so you can rewatch them. It runs 24–36 weeks, depending on your pace.
Designed for AI-native analyst roles: the Generative AI for Analysts module teaches prompting for SQL, Copilot in Power BI and Tableau Agent, and how to check what they produce.
SQL, Tableau, Power BI, Alteryx and Python, the way they are used at work, on projects modelled on the mentors' own. The curriculum section lists every module and topic.
Fees are not published on the site. A counsellor confirms the fee, GST and the instalment options in writing after one call; nothing is charged on the call.
Notes
Researched by the mentors, with every source and the date it was last checked.
What employers ask data analysts for: SQL leads the public job-post counts, then Python, Power BI and Excel. A skills map for working professionals.
Jitendra Singh20 Oct 2026 6 min 7 sourcesSeven in ten say they are looking. Eight in ten say they don't feel ready. The gap between the two is where a working professional's next six months go.
Jitendra Singh29 Sept 2026 3 min 5 sourcesPostings for plain "data and analytics" roles softened this year while analytics skills climbed LinkedIn's rising-skills list. Both are true. Here is what sits behind them.
Arvind Tiwary28 Sept 2026 3 min 5 sourcesA counsellor looks at what you do today and tells you, straight, whether Applied Data Analytics Fellowship is the right next step.
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