Data Analytics

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Data Analytics Course – Learn to Read Numbers Like a Story

What Is This Data Analytics Course About?

Numbers don’t mean anything on their own. Someone has to turn them into a story that helps a business make the right call. This course teaches you to be that translator.

Every business decision — what to launch, what to cut, where to spend — should be backed by data. But raw numbers in a spreadsheet don’t help anyone. They need someone who can clean the data, spot the patterns, and explain what it all means.

This course trains you in exactly that. You’ll learn Excel, SQL, and visualization tools like Power BI or Tableau, and practice turning messy datasets into clear, decision-ready reports. It’s less about memorizing formulas and more about learning to think like an analyst — asking the right questions of the data.

By the end, you’ll be able to take a raw dataset and turn it into insights a manager can actually act on.

Benefits

What You'll Learn

Course Details:

Course Price:

$1500

Lesson Duration

12 Weeks

Places for Students

12

Language:

English, Spanish, French

Certifications

Digital, Physical

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Career Outcomes

Where This Course Can Take You

Every department now needs someone who can turn numbers into decisions. Once you complete this course, you can move into roles like:

Average Salary of
Data Analysts

₹4L – ₹7L ₹8L – ₹14L ₹12L – ₹20L Fresher 3+ Years 5+ Years

In-Demand Roles

Data Analyst Business Analyst Reporting Analyst Marketing Analyst Operations Analyst

Upcoming Batches

Your next batch is almost here

Pick the mode that fits your schedule — same curriculum, same mentors, same outcomes.

Weekday 18 seats left

Full Stack Development

Starts Aug 3 7:00 – 9:00 AM

Mon – Fri  ·  Live Interactive Classes

Reserve This Batch
Weekend 9 seats left

Full Stack Development

Starts Aug 8 10:00 AM – 1:00 PM

Sat – Sun  ·  Live Interactive Classes

Reserve This Batch
Weekday 12 seats left

Full Stack Development

Starts Aug 5 9:00 AM – 12:00 PM

Mon – Fri  ·  Chennai Campus

Reserve This Batch
Weekend 6 seats left

Full Stack Development

Starts Aug 10 2:00 – 5:00 PM

Sat – Sun  ·  Chennai Campus

Reserve This Batch

Tools You'll Use

Not just tool names — real, working skills

Explore what you'll actually do with each tool in your analytics stack.

Excel
ExcelBuild pivot tables and quick business dashboards
MySQL
MySQLQuery and join data across tables
Google Sheets
Google SheetsCollaborate on shared analysis & reports
Power BI
Power BIBuild interactive dashboards from raw data
Tableau
TableauVisualize trends for business stakeholders
Looker Studio
Looker StudioCreate shareable, live reporting dashboards
Pandas
Pandas (Python)Clean and analyze data programmatically
Jupyter
Jupyter NotebookRun statistical tests & exploratory analysis
A/B Testing
A/B Testing ToolsDesign and evaluate business experiments
ChatGPT
AI Tools (ChatGPT)Speed up query writing & report generation
Sheets Automation
Sheets AutomationAutomate recurring reporting workflows
Power BI AI
Power BI AI FeaturesAuto-generate insights & visual suggestions

Admissions Open

Your Next Career Starts With
One Decision.

Seats for the next batch are limited. If you've been thinking about a career in digital marketing, this is the moment to stop thinking and start learning.

Learners already building new careers

Seats filled 10/15

Only 5 seats left for this batch

Reserve My Seat Download Curriculum

Zero-cost EMI  ·  7-day refund policy

Course Curriculum

Master Data Analytics, module by module

From Excel and SQL to AI-assisted analytics — a curriculum built for how analysts work in 2026.

7Modules
10Weeks
40+Practical Lessons
  • Formulas & functions (VLOOKUP, INDEX-MATCH)
  • Pivot tables & pivot charts
  • Building quick business dashboards
  • SELECT queries, filtering & sorting
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Aggregate functions & GROUP BY
  • Subqueries & window functions
  • Handling missing/duplicate data
  • Data type conversions & formatting
  • Structuring unstructured data
  • Power BI — data modeling & DAX basics
  • Tableau — building interactive dashboards
  • Choosing the right chart for the data
  • Mean, median, mode, standard deviation
  • Correlation vs. causation
  • A/B testing fundamentals
  • Using AI tools to speed up query writing
  • AI-assisted data cleaning
  • Auto-generating reports & visualizations
  • Validating AI-generated insights for accuracy
  • Real dataset analysis (sales, marketing, operations)
  • Building a complete dashboard from raw data
  • Presenting findings & recommendations

Career Outcomes

Placement Partners

Our learners get placed at these companies — real hiring partners, not a wishlist.

TCSTCS InfosysInfosys WiproWipro AccentureAccenture CognizantCognizant CapgeminiCapgemini HCLTechHCLTech Tech MahindraTech Mahindra IBMIBM OracleOracle DeloitteDeloitte AmazonAmazon MicrosoftMicrosoft GoogleGoogle

Delivery Framework

How the Programme Works

  1. Step 1

    Explore an interactive step-by-step journey.

  2. Step 2

    Guided onboarding and basics

  3. Step 3

    Expert-Led Structured modules

  4. Step 4

    Hands-On Practice

  5. Step 5

    Industry Tool Mastery

  6. Step 6

    Portfolio and interview prep

Career Journeys — Success Stories
Real Outcomes

Every ticket tells a career transformation

From where they started to where they landed — mentored, upskilled, and placed with confidence.

Got Questions?

Everything you need to know

Course details, career outcomes, market demand, and placement support — all in one place.

You'll cover SEO, GEO/AEO (AI search optimization), Google & Meta Ads, social media marketing, email marketing, analytics, and a full capstone campaign — 12 modules in total, from fundamentals to execution.

Yes. Module 1 starts from the basics of how digital marketing works — no prior marketing or technical background is assumed.

The full program runs 16 weeks across 12 modules, with both weekday and weekend batch options, online or offline.

Yes — every module includes practical exercises, and the course ends with a capstone project: a real multi-channel campaign you plan, execute, and report on end-to-end.

Roles like SEO Executive, Performance Marketing Executive, Social Media Marketer, Content Marketer, and Digital Marketing Associate are all realistic starting points.

Yes — many learners join from non-marketing backgrounds. The curriculum is built to take you from zero to job-ready without assuming prior experience.

No coding required. Basic familiarity with tools like Google Analytics or spreadsheets helps, but you'll pick that up naturally during the course.

Most start as an Executive/Associate, move to Senior Executive within 1–2 years, then into Team Lead or Specialist roles (SEO Lead, Paid Media Manager) as experience builds.

Yes — the channels are evolving (AI search, privacy-first targeting), but the function itself isn't going away. Businesses of every size still need people who can plan, run, and measure marketing.

AI is automating repetitive execution work, which is exactly why this course includes GEO/AEO and AI-assisted workflows — so you're trained on the skills AI can't easily replace, like strategy, judgment, and campaign oversight.

Practically every industry — e-commerce, healthcare, education, SaaS, real estate, and agencies serving all of the above. It's one of the more portable skill sets across sectors.

Yes — many learners freelance or join agencies right after, since the skills (SEO, ads, content, analytics) are exactly what small businesses hire freelancers for.

Yes — resume reviews, mock interviews, and direct referrals into our hiring partner network are included as part of the program.

We provide active placement support, not a guaranteed offer — outcomes depend on your portfolio, interview performance, and market conditions at the time you complete the course.

Resume and interview prep begin around Module 9, so you're ready to start applying as soon as you finish the capstone project — not months afterward.

Placement support isn't a one-time referral — you continue to get access to new openings, mentor check-ins, and mock interview practice until you land a role.

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