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Data

Data Analytics

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Excel, SQL, Power BI, Tableau, Python basics and business analytics storytelling.

Duration

12 weeks

Students

340+ enrolled

Rating

4.7

What You Will Learn

Create dashboards
Write SQL queries
Clean business data
Present insights clearly

Curriculum

1

Analytics career roadmap

Analyst rolesToolsBusiness metricsCase studies

Lab: Set up Excel, SQL and BI workspace

2

Excel fundamentals

FormulasFormattingTablesData validation

Lab: Create student admissions tracker

3

Advanced Excel

Pivot tablesLookupsChartsPower Query

Lab: Build sales analysis workbook

4

SQL basics

SELECTWHEREORDER BYAggregations

Lab: Query customer and course data

5

SQL joins and reporting

JoinsGroup bySubqueriesViews

Lab: Create monthly performance report

6

Power BI fundamentals

Data importRelationshipsVisualsFilters

Lab: Create first Power BI dashboard

7

DAX and dashboard design

MeasuresKPIsCardsSlicers

Lab: Build placement performance dashboard

8

Tableau basics

ChartsCalculated fieldsDashboardsStories

Lab: Create interactive Tableau view

9

Python for analysts

Pandas basicsData cleaningSimple chartsExporting reports

Lab: Clean dataset using Python

10

Business storytelling

Insight writingExecutive summaryRecommendationsPresentation flow

Lab: Prepare dashboard presentation

11

Analytics capstone

Problem statementData modelDashboard reviewInsights

Lab: Complete end-to-end analytics project

12

Interview preparation

SQL interview questionsDashboard explanationResume projectsMock interview

Lab: Present portfolio and answer case questions