Data AnalyticsSKILLSPHERE PROGRAM

Data Analytics

Learn to transform raw data into clear insights using SQL, Excel, dashboards, visualization, and practical business analytics.

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ADMISSIONS OPENOFFLINE

DURATION5 Months

LEVELAll Levels

MODEOffline

TOOLS09

HOW WE TEACH

Turn a technical path into practical capability.

Every part of this program is connected to real work: understand the idea, practise with the right tools, then build something you can explain and show.

Understand

Start with the concepts and context behind data analytics.

ConceptsContextFoundation

Practice

Work through the actual technologies, modules and workflows in this path.

Hands-onMentor loopsExperiment

Build

Turn the learning into projects, outcomes and portfolio-ready evidence.

Real projectsProofPortfolio

THE EXPERIENCE BEHIND THE WORK

Learn with energy. Build with people. Enjoy the process.

Technology is easier to learn when ideas are shared, experiments are encouraged, and real projects bring people together. SkillSphere keeps the work practical, collaborative and genuinely enjoyable.

Students collaborating in a modern technology learning space

PROGRAM OVERVIEW

Know the path. Understand the purpose.

A clear view of what this program teaches, how it is structured, and what you can build with it.

PROGRAM DESCRIPTION

Build practical Data Analytics skills by learning how to collect, clean, query, analyze, visualize, and communicate data effectively. This program focuses on the tools and techniques used to turn raw business data into meaningful insights and actionable reports. Students work with spreadsheets, SQL databases, dashboards, data visualization, and real-world datasets to understand trends, identify patterns, measure performance, and support data-driven decision making. Through practical exercises and portfolio projects, learners develop the ability to communicate analytical findings clearly and build professional dashboards and reports.

PROGRAM SNAPSHOT

MODULES07

PROJECTS04

OUTCOMES10

CORE TOOLS09

WHAT YOU'LL WORK WITH09 CORE TOOLS

Microsoft ExcelSQLMySQLPower BITableauPython

CORE TECHNOLOGIES

The tools become part of the skill.

01Microsoft Excel

02SQL

03MySQL

04Power BI

05Tableau

06Python

07Pandas

08Matplotlib

09Data Visualization

CURRICULUM

A clear sequence from first principles to working practice.

MODULE 01

Excel for Data Analytics

3 Weeks

Learn to organize, clean, analyze, and summarize data using practical Excel techniques.

Excel fundamentalsData entry and formattingSorting and filteringExcel formulasFunctionsIF statementsVLOOKUPXLOOKUPINDEX MATCHConditional formattingData validationPivot tables

MODULE 02

SQL for Data Analysis

3 Weeks

Learn to query databases and extract useful information from structured datasets using SQL.

SQL fundamentalsSELECTWHEREORDER BYGROUP BYAggregate functionsHAVINGJoinsSubqueriesCASE statementsCommon table expressionsWindow functions

MODULE 03

Data Cleaning & Preparation

3 Weeks

Learn how to transform messy raw data into reliable datasets ready for analysis and reporting.

Missing valuesDuplicate recordsData typesOutlier identificationData standardizationData transformationText cleaningDate and time handlingData validationData preparation workflows

MODULE 04

Data Visualization Fundamentals

3 Weeks

Learn how to choose and create effective visualizations that clearly communicate data-driven insights.

Visualization principlesCharts and graphsBar chartsLine chartsPie chartsScatter plotsHistogramsHeatmapsKPI visualizationChart selectionData storytelling

MODULE 05

Power BI & Business Intelligence

3 Weeks

Build interactive business intelligence dashboards and transform datasets into useful reporting tools.

Power BI fundamentalsData importPower QueryData transformationData modellingRelationshipsDAX basicsMeasuresCalculated columnsInteractive dashboardsFilters and slicersKPI dashboards

MODULE 06

Tableau & Advanced Dashboards

3 Weeks

Create professional interactive dashboards and communicate business insights through advanced visual analytics.

Tableau fundamentalsData connectionsDimensions and measuresCalculated fieldsFiltersDashboard layoutInteractive visualizationsParametersStoryboardsDashboard publishing

MODULE 07

Business Analytics & Real-World Projects

2 Weeks

Apply the complete analytics workflow to real datasets and create professional reports, dashboards, and business insights.

Business questionsKPI definitionPerformance analysisTrend analysisCustomer analyticsSales analyticsMarketing analyticsReportingInsight communicationProject documentationPortfolio development

PRACTICAL PROJECTS

Build evidence, not just completion.

PROJECT 01

E-Commerce Sales Analytics Dashboard

Analyze an e-commerce dataset to understand revenue, sales trends, product performance, customer behavior, and regional performance. Clean the data, calculate key business metrics, create visualizations, and build an interactive dashboard for decision making.

ExcelSQLPower BIPower QueryData Visualization

PROJECT 02

Customer & Sales Performance Analysis

Analyze customer and sales data to identify high-value customers, purchasing patterns, product performance, customer segments, and revenue trends. Use SQL and dashboard tools to convert the analysis into actionable business insights.

SQLMySQLExcelPower BIDAX

PROJECT 03

HR Workforce Analytics Dashboard

Build an analytics dashboard for employee data to understand workforce distribution, department performance, employee turnover, attendance patterns, salary trends, and other important HR metrics.

ExcelPower BIPower QueryDAXData Visualization

PROJECT 04

Business Intelligence Analytics Platform

Develop a complete analytics solution that imports raw business data, performs data cleaning and transformation, calculates important KPIs, creates interactive dashboards, and presents clear insights for business decision making.

SQLExcelPower BITableauPythonPandasData Visualization

LEARNING OUTCOMES

What you should be able to do after the path.

Understand data analytics fundamentals

Clean and organize raw datasets

Use Excel for data analysis

Write SQL queries to retrieve and transform data

Perform exploratory data analysis

Create interactive Power BI dashboards

Build Tableau visualizations

Identify trends and patterns in business data

Communicate analytical insights effectively

Develop professional data analytics reports and dashboards

ADMISSIONS

Ready to turn this path into real work?

Start a conversation with SkillSphere about Data Analytics. We can help you understand the path, expectations and next step.

STATUS Admissions open

ELIGIBILITYStudents, graduates, and working professionals interested in data analysis, reporting, dashboards, and business intelligence.

Contact SkillSphere