2-Day Intensive Workshop

SPARQ Sessions - Data Analytics 101

With Hands on healthcare/ecommerce case studies

Dates

June 21-22, 2025

2 Full Days

Time

9:00 AM - 5:00 PM

14 Hours Total

Location

SB Highschool

Chhatrapati Sambhajinagar

Workshop Prerequisites
Essential requirements for hands-on participation

Laptop Requirements

Minimum 4 GB RAM

8 GB recommended for Tableau

2-3 GB free storage

For software and datasets

Fully charged + charger

14-hour workshop duration

USB ports or internet

For data transfer

Required Software

Microsoft Excel 2016+

With PivotTables, VLOOKUP support

Tableau Public (Free)

Download here

Recommended Accounts

Google Account (shared files)

LinkedIn (networking session)

GitHub (project showcase)

Workshop Registration
Secure your spot in this intensive 2-day data analytics workshop

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Detailed Workshop Schedule

Comprehensive 2-day program covering tools, techniques, and real-world business applications

Day 1: Foundations
Master Excel fundamentals and introduction to Tableau visualization
9:00 AM

What is Data Analytics?

30 mins

Why do we need this? Practical Applications

9:30 AM

Data Handling in Excel: Foundations

30 mins

Basic data manipulation and organization techniques

10:00 AM

Excel Formulas for Everyday Analysis

60 mins

Essential formulas and functions for data analysis

11:00 AM

Advanced Excel: Logical & Lookup Functions

60 mins

VLOOKUP, INDEX-MATCH, IF statements, and complex logic

12:00 PM

Lunch Break

30-45 mins

Networking and refreshments

1:00 PM

Practical Case of Analytics - Operating with Large Datasets

60 mins

Real-world data handling and processing techniques

2:00 PM

Introduction to Data Visualization - Tableau

60 mins

Getting started with Tableau Public and basic visualizations

3:00 PM

Create Dashboard on Tableau based on practical case

60 mins

Hands-on dashboard creation using real datasets

What You'll Master

Excel Mastery

Advanced formulas, PivotTables, VLOOKUP, INDEX-MATCH, and data manipulation techniques

Tableau Visualization

Creating interactive dashboards, charts, and meaningful visualizations for business insights

Business Case Analysis

Real-world e-commerce and healthcare analytics with customer retention and churn analysis

Career Guidance

Industry insights, career paths in data analytics, and professional development strategies