Data Analytics Program โ€” Daf Academy | Build Skills. Get Hired.
May 15 Batch ยท Now Enrolling ยท 15 Seats Only

You know you're
capable of more.
Let's prove it.

Whether you just graduated, switched careers, or feel stuck in a job you didn't plan for โ€” this 2.5-month program gives you a concrete, structured path into data analytics. Real skills. Real projects. Real direction.

Graduates, career changers & working professionals enrolled
15โ˜…
Seats per batch
Intentionally small
60โ€“75
Total hours
1โ€“1.5 hrs live daily
โ‚น10K
Full program fee
Actual value โ‚น50,000
12+
Industry tools
Excel to Python & AI

You know that feeling โ€” when you see a job listing,
read the requirements, and close the tab
without even applying?

That's not a confidence problem. That's a skills gap โ€” and skills gaps are fixable. Not in theory. Not "eventually." In 2.5 months, with the right structure and someone who actually teaches, not just shows slides.

"I'm overqualified for this job, underqualified for the one I want."
You have a degree. You're not unqualified. But without the right skill set, you keep landing roles that feel like settling. Data analytics is the specific, hireable skill that bridges that gap โ€” in any industry.
"I've been 'learning' for months and still can't build anything."
Random tutorials. Disconnected courses. No real project to show. YouTube gives you fragments, never a complete picture. You don't need more content. You need one structured path โ€” start to finish, with real output at the end.
"Everyone around me seems to be moving forward. I feel left behind."
That feeling is real. And the gap only widens with time. But 2.5 months from now, you could have a portfolio, real skills, and the confidence to walk into interviews and actually mean it when you say you can do the work.
What you're doing right now
Searching YouTube โ€” 1,000 videos, zero structure, no sequence
Starting 5 courses, finishing none, building nothing you can actually show
Learning tools in isolation โ€” Excel here, SQL there, no one connects the dots
Following trends instead of knowing what companies actually pay analysts to do
Months of effort โ€” still feeling like you're at absolute zero
What this program gives you
A clear sequence โ€” what to learn, in what order, with a reason for every step
Excel โ†’ SQL โ†’ Power BI โ†’ Python as one coherent, connected skill
Real company scenarios โ€” how data is actually used at work, not in demos
A mentor who explains not just what to do, but why it matters in the real world
2.5 months of real structure. Confidence. Clarity. A portfolio. Direction.
Pain Points โ€” Named Honestly

The real reasons people
stay stuck for years

These aren't excuses. These are real, structural barriers that keep talented people from making progress โ€” and every one of them has a direct solution built into this program.

PAIN 01
๐ŸŒ€
Information Without Direction

The internet has more data content than any human can consume. But volume is the problem, not the solution. You need a curated sequence โ€” exactly what to learn, in what order, with the context of how it fits into real analyst work.

Sound familiar? "I don't even know where to start. I start something new every week and end up back at zero."
PAIN 02
๐ŸŽญ
Skills That Look Good, Build Nothing

Most courses hand you a certificate after watching 40 hours of recordings. Recruiters see through this immediately. What actually gets you hired is a portfolio โ€” a real dashboard you built, a real SQL query you wrote, a real insight you pulled from messy data.

Sound familiar? "I have 6 course certificates on my resume and still no callbacks."
PAIN 03
๐Ÿ’ธ
Expensive Institutes That Don't Deliver

โ‚น30,000โ€“โ‚น1,00,000 for large institutes that put 200 students in a batch, give you lifetime access to recordings, and call it mentorship. You're not getting mentorship โ€” you're getting content. The only difference between that and YouTube is the price tag.

Sound familiar? "I spent โ‚น45,000 at an institute. Got a certificate. Still confused. Still jobless."
PAIN 04
๐Ÿง 
Learning Tools, Not Thinking

Any tool tutorial will teach you which button to click. What companies pay for is analytical thinking โ€” the ability to look at a business problem, find the right data, extract the pattern, and present a decision worth acting on. That thinking is what this program trains.

Sound familiar? "I can follow tutorials step-by-step, but I freeze when someone gives me actual data."

The problem was never your ability.
It was the absence of structure,
clarity, and someone in your corner.

โ€” What this program changes

Exactly What You're Signing Up For

60โ€“75 hours. 2.5 months.
Every detail you need to know.

No vague promises. Here is the exact structure of this program โ€” how much time it takes, what happens each week, and what you walk away with.

program_structure.md
โฑ๏ธ
60โ€“75 Total HoursSpread across 10 weeks (2.5 months). Every hour is live, structured, and purposeful โ€” not recordings you'll never finish.
๐Ÿ“…
1 to 1.5 Hours Daily โ€” Live6 PM batch. Short enough to fit around work or college. Long enough to actually make progress each day without burnout.
๐ŸŽฏ
7 Structured ModulesEach module builds on the last. Foundation โ†’ Excel โ†’ SQL โ†’ Power BI โ†’ Python & AI โ†’ Real Projects โ†’ Career Prep.
๐Ÿ‘ฅ
Maximum 15 StudentsEvery person gets real attention. Questions answered. Confusion resolved. You are not a number in a 200-person batch.
๐Ÿ“ฑ
WhatsApp Group AccessDirect mentor access throughout. Ask questions between sessions. Get feedback on your work. Real-time support.
๐ŸŽฌ
All Sessions RecordedMiss a live class? Full recording available. No FOMO โ€” but we strongly encourage live attendance. That's where real learning happens.

What this commitment actually looks like in your day:

  • โœ“ Log in at 6 PM โ€” attend 60 to 90 minutes of live, interactive class
  • โœ“ Practice for 30 minutes after each session on the day's dataset
  • โœ“ Ask questions in the WhatsApp group โ€” mentor responds the same day
  • โœ“ Build a mini-project at the end of each module โ€” portfolio piece, not just practice
  • โœ“ Missed a class? Watch the recording. Catch up the same night or next morning.
  • โœ“ In week 9: build an end-to-end real company scenario project, start to finish
  • โœ“ In week 10: build and polish your resume, prep for interviews, strategy for job hunting

Total time commitment per day:

Live class: 60โ€“90 minutes  +  Practice: 30 minutes  =  Under 2 hours per day. That's it. Less than one Netflix episode. In 2.5 months, it compounds into a career-changing skill set.

The Full Skill Stack

12+ industry tools.
One complete analyst.

You won't just learn what these tools are โ€” you'll know how they work together, in real workflows, in the exact way companies use them every week.

Why multiple tools matter

Every company uses a different combination. By knowing the full ecosystem โ€” not just one tool โ€” you become someone who can adapt to any role, any company, any team. Versatility is what makes an analyst genuinely hireable.

01
Excel
Data CleaningPivot TablesVLOOKUPReports
02
SQL
QueryingJoinsAggregationsSubqueries
03
Power BI
DashboardsDAXVisualsReports
04
Python
BasicsPandasNumPyMatplotlibSeaborn
05
Tableau
ChartsStorytellingDashboards
06
PostgreSQL
Database DesignQueriesIndexing
07
Google Sheets
FormulasCollaborationDashboards
08
Statistics
Descriptive StatsDistributionsHypothesis
09
Notion / Docs
ReportingDocumentationDecks
10
Analytical Thinking
Problem FramingInsight LogicDecision Analysis
11
Looker Studio
Google Data StudioLive Reports
12
AI for Analysts
ChatGPT for AnalysisPrompt EngineeringCopilot in ExcelAI-assisted SQLAuto-EDA Tools
๐Ÿ Python + AI for Data Analytics

The full Python syllabus.
Libraries, AI tools โ€” everything.

Python is not optional anymore. This is exactly what you'll learn โ€” structured, sequenced, and applied to real analyst workflows. No fluff, no filler.

PHASE 01
Python Fundamentals
Variables & Data TypesLists, Tuples, DictsLoops & ConditionalsFunctions & ModulesFile I/O (CSV, Excel)Error HandlingJupyter Notebooks
PHASE 02
Data Manipulation with Pandas & NumPy
DataFrames & SeriesRead CSV / Excel / JSONFiltering & SortingGroupBy & AggregationMerge & Join TablesHandling NullsNumPy Arrays & Math OpsApply & Lambda FunctionsPivot Tables in Pandas
PHASE 03
Data Visualisation with Matplotlib & Seaborn
Line, Bar & Pie ChartsScatter & Bubble PlotsHeatmaps (Correlation)Box Plots & Violin PlotsSubplots & LayoutsSeaborn Themes & StylingPlotly for Interactive Charts
PHASE 04
Statistics & Exploratory Data Analysis
Descriptive StatisticsMean, Median, Mode, Std DevCorrelation AnalysisDistribution AnalysisOutlier DetectionAutomated EDA (ydata-profiling)SciPy for Hypothesis Testing
Core Python Libraries
๐Ÿผ
pandas
The backbone of data analysis in Python. DataFrames, merges, pivots, groupby โ€” you'll use this every single day.
CORE
๐Ÿ”ข
numpy
Fast numerical computation. Arrays, math operations, and the foundation that pandas itself is built on.
CORE
๐Ÿ“‰
matplotlib
Build any chart from scratch. Full control over every visual โ€” lines, bars, scatter, histograms.
VIZ
๐ŸŽจ
seaborn
Beautiful statistical visualisations in a single line. Heatmaps, pair plots, violin plots โ€” clean by default.
VIZ
๐Ÿ“Š
plotly
Interactive charts for dashboards and presentations. Hover, zoom, and filter โ€” directly in the browser.
VIZ
๐Ÿ”ฌ
scipy
Statistical testing, distributions, and scientific computing. Used for hypothesis testing in analyst work.
STATS
๐Ÿ“‹
openpyxl
Read and write Excel files with Python. Automate reports, format sheets, and handle .xlsx at scale.
CORE
๐Ÿค–
scikit-learn
Intro-level ML for analysts: linear regression, clustering. Know enough to collaborate with data science teams.
AI / ML
๐Ÿค–
AI Tools for Modern Analysts
How analysts actually use AI in 2025
๐Ÿ’ฌ
ChatGPT / Claude
Write SQL queries, debug Python code, and explain data findings in plain English
๐Ÿ“—
Copilot in Excel
Generate formulas, clean messy data, and create pivot charts using natural language
๐Ÿ”
Auto-EDA Tools
ydata-profiling & Sweetviz: instant exploratory analysis reports with one line of code
๐Ÿง 
Prompt Engineering
Write structured prompts to extract insights, build reports, and summarise datasets with AI
๐Ÿ—ฃ๏ธ
AI-assisted SQL
Generate, explain, and optimise SQL queries using LLMs โ€” a real skill in every modern data team
๐Ÿ“Š
AI in Power BI
Q&A visuals, Smart Narratives, and Copilot features โ€” how AI is embedded in modern BI tools
Full Transparency

Module by module.
Nothing hidden.

Every session, every topic, every project โ€” laid out clearly so you know exactly what you're getting before you pay a single rupee. No surprises. No bait-and-switch.

M 01 ยท Week 1โ€“2
Foundation & Career Clarity
โฑ 2 Weeks ยท 6 Sessions ยท ~9 hrs total
What is Data AnalyticsIndustry OverviewCareer PathsWhat Companies Hire ForYour Personal RoadmapMindset for Analysts
โฑ 2 Weeks ยท 8 Sessions ยท ~12 hrs total
Data CleaningCore Functions & FormulasVLOOKUP / XLOOKUPPivot TablesBusiness Report BuildingReal Datasets
โฑ 2 Weeks ยท 8 Sessions ยท ~12 hrs total
Database FundamentalsSELECT, WHERE, GROUP BYJoins & SubqueriesAggregation FunctionsPostgreSQL PracticeReal Data Extraction Tasks
โฑ 2 Weeks ยท 8 Sessions ยท ~12 hrs total
Dashboard Design PrinciplesCharts & VisualsDAX BasicsKPI CardsBusiness ReportingLooker Studio Intro
โฑ Integrated across program ยท ~10 hrs total
Python Basics & JupyterPandas โ€” DataFrames & WranglingNumPy โ€” Arrays & MathMatplotlib ChartsSeaborn VisualisationsPlotly Interactive ChartsEDA with ydata-profilingSciPy โ€” Stats Testingscikit-learn IntroChatGPT Prompt EngineeringCopilot in ExcelAI-assisted SQL WritingAI in Power BIAutomating Reports with Python
โฑ 1 Week ยท 4 Sessions + Workshop ยท ~8 hrs total
Sales Performance AnalysisCustomer Behaviour DashboardLogistics KPI ReportFull End-to-End WorkflowProject Presentation
โฑ 1 Week ยท 4 Sessions ยท ~6 hrs total
Resume BuildingInterview PreparationMarket Salary ExpectationsWhat to Say in InterviewsLinkedIn OptimizationJob Application Strategy
Honest About Fit

Who this is for.
Who it isn't.

We'd rather you not join than join and feel it's wrong for you. So here's the clearest version of the truth we can give โ€” because you deserve that before handing over money.

โœ“ This is for you

You're a fresher, career changer, or working professional wanting a genuine skill

You're from any background โ€” non-IT, arts, commerce, science, engineering

You started learning but stopped due to confusion, overwhelm, or lack of structure

You can commit 1โ€“1.5 hours per day live + 30 min practice for 2.5 months

You want personal mentorship, not a content dump from a 200-student institute

You want real, demonstrable output โ€” not just a certificate to frame on the wall

โœ— Not for you if

You're looking for shortcuts or overnight results with no real effort

You expect guaranteed placement without putting in the work โ€” no one can promise that honestly

You think watching videos passively is learning โ€” it never has been

You're not willing to practice daily and build real projects that challenge you

You want a certificate to impress on paper, not an actual usable, hireable skill

You genuinely can't show up for 1โ€“1.5 hours most weekdays over 10 weeks

The Root Problems

Three things actually
blocking your progress

01 / 03
Random Information Overload

YouTube gives you 1,000 videos but no one explains how Excel connects to SQL, how SQL feeds Power BI, or what order any of this should happen in. You end up knowing fragments โ€” none of it hireable. Structure is the difference between learning and actually becoming capable.

โš  Months wasted, zero direction
02 / 03
Tool Training Without Thinking

Most courses teach you to click buttons. Companies don't pay for button-clickers. They pay for people who understand the business problem, find the data story, and communicate it clearly to decision-makers. That thinking has to be built โ€” it doesn't come from following a tutorial.

โš  Hireable skill never built
03 / 03
No Real Output to Show

You can't point to anything you've built. No dashboard. No analysis. No end-to-end project. Without concrete proof of work, your resume looks identical to every other confused candidate โ€” and gets ignored. The only way to stand out is output, not courses.

โš  Applications go nowhere
No Jargon. Plain Truth.

What does a data analyst
actually do every day?

Data analytics isn't about numbers. It's about understanding business problems, finding patterns in messy data, and helping companies make better decisions with confidence โ€” every single week.

Collect and clean past data from multiple sources โ€” messy spreadsheets to structured databases
Analyse trends โ€” find which region, product, or time period is driving a problem or opportunity
Build a dashboard that shows the finding visually โ€” so leadership can see it in seconds, not hours
Present insights to stakeholders with a clear, confident recommendation that they can act on
Leadership uses your data to make a decision that fixes the business problem โ€” that's the value

Example: A company's sales are dropping 18%. Here's what an analyst does:

sales_analysis_workflow.sql
Pull 2 years of sales data from the SQL database, clean it in Excel โ€” remove duplicates, fix errors
Analyse drop by region and product โ€” South India + Electronics are 60% of the drop
Build a Power BI dashboard โ€” live KPIs, trend lines, region filter that leadership can use themselves
Present to management โ€” "Reduce pricing in South India by 8% for electronics. Here's why."
Company acts on your insight โ€” that's what a data analyst is actually worth to a business
What You'll Build

Real scenarios you'll
work on in this program

These aren't toy exercises. These are the same types of analyses done by analysts at real companies every week โ€” the kind you'll walk into interviews and talk about with confidence.

Scenario 01
Sales Performance Analysis

A retail company wants to know why Q3 revenue dropped 18% vs last year. You'll analyse by region, product category, and sales rep โ€” find the real cause and present the finding in a live Power BI dashboard with recommendations.

Scenario 02
Customer Behaviour Analysis

An e-commerce company sees high traffic but low conversion. You'll dig into the customer journey data, identify exactly where people drop off, and build a dashboard that shows the pattern clearly enough for the product team to act.

Scenario 03
Business Decision Dashboard

A logistics company needs a live management dashboard showing delivery times, costs, and regional performance across 5 cities. You design and build it end-to-end โ€” raw data to published Power BI report, ready for weekly leadership review.

Scenario 04
Trend Analysis & Forecasting

A product team wants to know which features are used vs ignored, and how usage has changed over 12 months. You analyse the data in Python, create visualisations, and present trends that directly influence what gets built next quarter.

After This Program

What becomes possible
in 2.5 months

Data Analyst
The most direct entry point. Companies across every sector โ€” retail, logistics, fintech, healthcare, e-commerce โ€” hire data analysts as one of their first data hires. Every industry needs this role.
โ‚น2.5L โ€“ โ‚น6L starting
Business Analyst
If you're sharp with business context and communication, the BA role is a natural fit. Analytical thinking combined with stakeholder skills is one of the most in-demand profiles across industries right now.
โ‚น3L โ€“ โ‚น7L starting
Reporting Analyst
Excel, SQL, and Power BI are exactly the tools used daily in reporting roles. Many people land here first โ€” and with proven skill, move into senior data or BI roles within 12โ€“18 months. A strong and real starting point.
โ‚น2.5L โ€“ โ‚น5L starting

Important note on salary ranges: These are real, verified ranges in the Indian job market for fresher-to-1-year profiles with demonstrated skills and a portfolio. Actual results depend on your effort, the quality of your projects, interview preparation, and consistency throughout this program. We will be honest with you throughout โ€” about what's realistic and how to maximise your chances.

Honest Comparison

Other institutes
vs this program

What Matters Other Institutes โœฆ This Program
Batch size100โ€“500 students15 students only
Personal attentionMinimal to noneDirect, every session
Live hoursPre-recorded mostly60โ€“75 hrs live, 1โ€“1.5/day
Real projectsRarely includedEvery single module
Python + AI toolsRarely covered properlyFull syllabus included
Analytical thinkingTool-only trainingCore to the program
Tools covered2โ€“3 tools max12+ industry tools
Duration6โ€“12 months2.5 months, structured
Honest about placementFalse guaranteesTransparent. Skill-first.
Program feeโ‚น30,000 โ€“ โ‚น1,00,000โ‚น10,000 total
Before You Decide

An important truth
we owe you

No course can guarantee you a job. Anyone who tells you otherwise is misleading you โ€” and you deserve better than that. Here's exactly what we do and don't promise.
WE DO

Build real, demonstrable skills through structured learning and genuine industry projects you can show in interviews

WE DO

Give you the clarity, direction, and confidence you've been missing โ€” from day one, not after months of confusion

WE DO

Train your analytical thinking so you can solve business problems โ€” not just use tools when told to

WE DO

Help you build a portfolio, prep for interviews, and think and speak like an analyst by the end of week one

NOTE

Results depend entirely on your effort, practice, and consistency. We give you everything โ€” structure, mentorship, projects, guidance. The only variable we can't control is your own commitment. Show up. Build. That's the deal.

Straightforward Pricing

You pay for learning.
Not for branding.

One price. One program. No upsells. No surprise fees. No "premium tier." The fee is low because we don't spend on heavy marketing, big offices, or brand campaigns. Every rupee goes into the actual teaching.

  • โœ“ 2.5-month structured program โ€” 7 complete modules
  • โœ“ 60โ€“75 total hours ยท Live sessions at 6 PM ยท Full recordings
  • โœ“ 12+ industry tools โ€” Excel, SQL, Power BI, Python, Tableau & more
  • โœ“ Python libraries: Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • โœ“ AI tools: ChatGPT, Copilot in Excel, AI-assisted SQL
  • โœ“ Real industry projects โ€” end to end, portfolio-worthy output
  • โœ“ Career guidance + interview preparation sessions
  • โœ“ Maximum 15 students โ€” personal attention guaranteed
  • โœ“ Direct WhatsApp access to mentor for daily questions
  • โœ“ Completion certificate
Full Program May 15 Start ยท 15 Seats
โ‚น50,000 โ‚น10K
One-time ยท No hidden charges ยท No upsells ยท No EMIs
โœ“
2.5-month structured program โ€” 7 modules
โœ“
60โ€“75 hrs total ยท Live 6 PM batch + recordings
โœ“
12+ tools โ€” Excel, SQL, Power BI, Python, Tableau
โœ“
Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly
โœ“
AI tools: ChatGPT, Copilot, AI-assisted SQL
โœ“
Real end-to-end industry projects for portfolio
โœ“
Career guidance + interview preparation
โœ“
Maximum 15 students โ€” personal attention
โœ“
Direct mentor access on WhatsApp daily
โœ“
Completion certificate
Only 15 seats ยท May 15 start ยท Closes when full
Enrol Now โ€” Secure My Seat
Clear Answers

Questions you
probably have

Absolutely not. This program is built for students and professionals from any background โ€” commerce, arts, science, engineering, non-IT. You need willingness to learn and consistency. Nothing else. Some of the sharpest analysts come from non-IT backgrounds โ€” they think differently, and that's genuinely an advantage in this field.
Yes โ€” the program is specifically designed for working professionals. Live sessions are at 6 PM, lasting 1 to 1.5 hours. Add 30 minutes of practice and you're done for the day. If you miss a live class, the full recording is available. The real question is: can you commit about 2 hours most weekdays for 10 weeks? If yes, you're fine.
Yes โ€” we start from absolute zero. Variables, loops, functions โ€” everything before we touch Pandas or Matplotlib. The Python module is sequenced so that a complete beginner with no coding background can follow comfortably. By the end, you'll be cleaning datasets, building charts, and doing exploratory data analysis in Python with real confidence.
Honestly โ€” it depends on your effort. No course guarantees a job, and anyone who promises otherwise is misleading you. What this program guarantees is that you will build real skills, a real portfolio, and the clarity to target the right roles. What you do with that is up to you. Every rupee you pay is for skill-building and mentorship โ€” nothing else.
Data Analyst, Junior Data Analyst, Business Analyst, Reporting Analyst, Operations Analyst, MIS Analyst โ€” across industries like fintech, e-commerce, retail, healthcare, logistics, and startups. Starting salaries typically range from โ‚น2.5L to โ‚น6L per year. We'll also help you understand exactly how to target roles and what to focus on during job hunting.
Full recordings are available after every session โ€” so you'll never permanently miss content. That said, live sessions are where the real learning happens: real-time questions, problem-solving, and discussion with your batch. We strongly encourage attending live as often as possible. Missing one or two is fine; missing most is not a strategy for success.
Because quality requires attention. With 15 students, every person gets real focus. Every question gets answered. Every roadblock gets resolved. You're not a number in a 200-person batch โ€” you're a person building a career. That only works at small scale, and we won't compromise it for revenue.
Because we don't spend on heavy marketing, large offices, sales teams, or expensive brand-building campaigns. The fee reflects the actual cost of delivering high-quality, personal mentorship to 15 people โ€” not the inflated pricing of institutes that spend more on ads than on teaching. You pay for real learning. That's the entire model.
Once your payment is confirmed, our team will reach out within 2โ€“4 hours and add you to the batch WhatsApp group. Everything โ€” session links, resources, schedule, recordings โ€” is shared there. You don't need to do anything else. Apply, pay, and we take care of the rest from that point forward.
15 Seats ยท May 15 ยท Limited

Stop waiting for
the right time.
This is it.

2.5 months ยท 60โ€“75 hrs live ยท 12+ tools ยท Python + AI
Real projects ยท โ‚น10,000 ยท 15 seats ยท Any background welcome

Enrol Now โ€” Secure My Seat

Seat confirmed on payment ยท Team adds you to WhatsApp within 2โ€“4 hrs ยท No hidden charges

๐Ÿ’ฌ
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