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Beginner • Job-ready foundations

Data Analytics Essentials

Learn how to turn raw data into clear decisions: cleaning, SQL querying, analysis, dashboards, and real business-style projects.

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4–6
Weeks (flexible)
3+
Portfolio projects
1:1
Mentor guidance

Overview

Data analytics typically includes collecting data, cleaning/transforming it, exploring patterns, and communicating results through visuals and dashboards. :contentReference[oaicite:2]{index=2}

What is analytics?

You’ll learn the core types used in business: descriptive (“what happened”), diagnostic (“why”), and basics of predictive thinking.

Tools you’ll use

Excel for fast analysis (PivotTables), SQL for querying databases, and dashboard concepts that map to tools like Power BI/Tableau. :contentReference[oaicite:3]{index=3}

Outcome

You’ll finish with portfolio projects + a repeatable workflow you can apply to any dataset.

Curriculum

Structured like real analyst work: ask → fetch → clean → analyze → explain.

Module 1

Analytics Foundations

  • Metrics, KPIs, business questions
  • Data types, common mistakes, sanity checks
  • How analysts communicate (executive summary)
Module 2

Excel for Analysis

  • Cleaning data: duplicates, blanks, inconsistent formats
  • PivotTables + PivotCharts for summarizing data :contentReference[oaicite:4]{index=4}
  • Conditional formatting, basic forecasting ideas
Module 3

SQL Essentials

  • SELECT, WHERE, GROUP BY, ORDER BY
  • JOINs, filtering, basic window concepts
  • Answer real business questions using queries :contentReference[oaicite:5]{index=5}
Module 4

Visualization + Dashboard Thinking

  • Chart selection (avoid misleading visuals)
  • Dashboard layout, filters, drill-down
  • Presenting insights clearly (story → evidence → recommendation)
Module 5

Capstone Prep

  • Data dictionary + assumptions
  • Deliverables: report + dashboard + summary
  • Interview-style explanation practice

What you’ll submit each week

Mini-assignments that build directly into your portfolio.

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Tools & Concepts

We teach the skill, not just buttons — so you can switch tools easily later.

Excel

Fast analysis, PivotTables, quick charts, summaries. :contentReference[oaicite:6]{index=6}

PivotTables Charts Cleaning

SQL

Query and summarize data from relational databases using a standard language. :contentReference[oaicite:7]{index=7}

JOINs GROUP BY Filtering

Dashboards

Learn how dashboards answer questions with visuals, filters, and drill-down.

Layout KPIs Story

Portfolio Projects

Designed to look like real work samples you can talk about in interviews.

Sales Performance Dashboard

Excel + Dashboard

Clean sales data, build Pivot summaries, identify top products/regions, and present recommendations.

  • KPIs: revenue, margin, growth
  • Region & product breakdown
  • Executive summary slide

SQL Business Questions Pack

SQL

Answer 15–20 business questions (retention, AOV, repeat customers) using structured queries.

  • JOINs + aggregations
  • Clean output tables
  • Insights + conclusions

Customer Support Insights

Analysis + Story

Analyze ticket data to find root causes, peak times, and improvement opportunities.

  • Issue categories & trends
  • Resolution time distribution
  • Actionable recommendations

Pricing

Simple, transparent, and affordable. (Edit this however you want.)

Starter

₹4,999

Self-paced + assignments

  • Full curriculum access
  • Project templates
  • Community support
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Mentored

₹9,999

Best for job prep

  • Everything in Starter
  • Weekly mentor check-ins
  • Portfolio review
  • Interview practice
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Team

Custom

For colleges/companies

  • Custom schedule
  • Group mentoring
  • Progress reporting
Contact

FAQ

Click to expand.

No. This course starts beginner-friendly. SQL is taught from basics, and Excel is used heavily first.

Yes — your portfolio projects + workflow explanation are what recruiters usually look for in entry roles.

Analytics focuses more on reporting, dashboards, and decision support. Data science often goes deeper into modeling and ML.

Enquire / Get the Syllabus

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Course: Data Analytics Essentials
Skills: Excel, SQL, dashboards, insight writing :contentReference[oaicite:8]{index=8}