IIQMC Data Analytics Career Switch Program

Transform your career with industry-aligned skills, real-world projects, and lifetime placement support. Designed for professionals and freshers from any background looking to build a career in Data Analytics.

🚀 Why Choose This Program?

Data is the new oil — and companies need skilled analysts to extract insights that drive business growth. This program equips you with everything from data tools to business intelligence, making you job-ready in just a few months.

📚 Program Highlights

✅ Transition into Data Analyst roles — even with zero coding background

✅ Live, interactive sessions led by industry experts

✅ Real-world case studies & capstone projects

✅ Lifetime placement assistance & 1:1 career mentorship

✅ Certification recognized by top recruiters

📚 Detailed Course Modules – Data Analytics Career Switch Program

📍 Module 1: Introduction to Data Analytics

Duration: 1 Week

Objective: Understand the fundamentals of data analytics, the role of a data analyst, and career pathways.

Topics Covered:

• What is Data Analytics?

• Data Types & Lifecycle

• Roles: Data Analyst vs Data Scientist vs Business Analyst

• Tools & Technologies Overview (Excel, SQL, Python, BI Tools)

• Industry Use-Cases (Finance, Marketing, HR, E-commerce)

• How to read & interpret datasets

Outcomes:

✔ Clarity on the data domain and your career roadmap.

✔ Familiarity with industry expectations and workflows.

📍 Module 2: Excel for Data Analysis

Duration: 2 Weeks

Objective: Learn how to clean, manipulate, and analyze data using Microsoft Excel or Google Sheets.

Topics Covered:

• Sorting, Filtering, Conditional Formatting

• Data Cleaning Techniques

• Formulas: VLOOKUP, HLOOKUP, INDEX-MATCH, IF, SUMIF, COUNTIF

• Pivot Tables, Charts, and Dashboard Creation

• Basic Excel Automation & Shortcuts

Outcomes:

✔ Able to clean and analyze datasets using Excel.

✔ Build reports and dashboards for business insights.

📍 Module 3: SQL for Data Extraction & Manipulation

Duration: 3 Weeks

Objective: Learn to extract data from relational databases using SQL.

Topics Covered:

• Introduction to Databases & RDBMS Concepts

• Basic SQL Syntax & Commands

• Filtering, Sorting, Grouping

• JOINS (INNER, LEFT, RIGHT, FULL)

• Subqueries, Nested Queries, Case Statements

• SQL for Business Reporting

Outcomes:

✔ Confidently write queries to extract data from databases.

✔ Build and present data summaries from real databases.

📍 Module 4: Python for Data Analysis

Duration: 4 Weeks

Objective: Gain hands-on experience with Python and its popular data analysis libraries.

Topics Covered:

• Python Basics (Variables, Loops, Functions, Conditionals)

• Working with Libraries: Pandas, NumPy

• Data Cleaning, Filtering, Transformation

• Exploratory Data Analysis (EDA)

• Working with CSV, Excel, and JSON files

• Time Series & Basic Automation

Outcomes:

✔ Perform complex data manipulation with ease.

✔ Build scripts to automate data workflows.

📍 Module 5: Data Visualization & Business Intelligence Tools

Duration: 3 Weeks

Objective: Master tools like Tableau or Power BI to present insights effectively.

Topics Covered:

• Introduction to BI Tools (Power BI or Tableau – based on batch preference)

• Connecting to Different Data Sources

• Creating Interactive Dashboards

• Visual Design Best Practices

• Data Storytelling

• Case Study: Build & Present a Business Dashboard

Outcomes:

✔ Develop dashboards to present insights to stakeholders.

✔ Build visually engaging reports that drive decisions.

📍 Module 6: Statistics & Business Decision Making

Duration: 2 Weeks

Objective: Understand the role of statistics in interpreting data and making business decisions.

Topics Covered:

• Descriptive Statistics (Mean, Median, Mode, Standard Deviation)

• Probability Distributions

• Inferential Statistics

• Hypothesis Testing

• A/B Testing and Real-World Applications

• Business Scenarios & Metrics

Outcomes:

✔ Apply statistical methods to solve real-world problems.

✔ Make data-driven business recommendations.

📍 Module 7: Capstone Project

Duration: 3 Weeks

Objective: Apply everything you’ve learned in an end-to-end data analytics project.

Topics Covered:

• Problem Statement Discussion

• Dataset Collection & Cleaning

• EDA using Python/Excel

• SQL Queries for Analysis

• Dashboard Creation in Power BI/Tableau

• Final Report & Presentation

Outcomes:

✔ Build a portfolio-worthy project

✔ Receive expert feedback to refine and showcase your skills

💼

BONUS: Career Support Module

Parallel to Core Modules

Includes:

• 1:1 Career Mentorship

• Resume & LinkedIn Optimization

• Mock Interviews (HR + Technical)

• On-Demand Doubt Clearing

• Interview Preparation for MNCs & Startups

• Referral to 100+ Hiring Partners

🚀 Final Outcome:

By the end of the program, you will be job-ready to apply for roles such as:

• Data Analyst

• Business Analyst

• BI Analyst

• Reporting Analyst

• Junior Data Scientist