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Programs › Data Analyst

Data Analyst
Practice Program

A hands-on, 6-month industry immersion program where you work on real datasets, build dashboards, and develop the analytical mindset that top companies demand.

⏱ 6 Months 🗂 8 Projects 🛠 12+ Tools

Program Overview

Data analysts are the backbone of every data-driven business. They collect, clean, and interpret data to drive decisions — from revenue strategy to product improvements. The demand for skilled analysts has never been higher.

Our Data Analyst Practice Program is built around real-world simulations. You won't just watch tutorials — you'll work on actual client datasets, deliver stakeholder reports, and present insights like a professional analyst. Every phase mirrors what analysts do day-to-day at companies like Google, Flipkart, and Razorpay.

Curriculum Timeline

Phase 1 · Weeks 1–3

Foundation

  • Understanding data types, structures, and sources
  • Excel for data cleaning and pivot analysis
  • Basic statistics: mean, median, variance, distributions
  • SQL introduction: SELECT, WHERE, ORDER BY
Phase 2 · Weeks 4–7

SQL Mastery

  • Complex queries, multi-table JOINs
  • Subqueries, CTEs, and window functions
  • Database design principles and normalization
  • PostgreSQL and MySQL practice environments
Phase 3 · Weeks 8–12

Python for Data

  • Pandas and NumPy for data manipulation
  • Data cleaning: handling nulls, duplicates, outliers
  • Exploratory data analysis (EDA) techniques
  • Jupyter Notebook workflows and best practices
Phase 4 · Weeks 13–18

Visualization & Dashboards

  • Power BI: reports, DAX measures, and live dashboards
  • Tableau: charts, calculated fields, story points
  • Dashboard design principles and stakeholder storytelling
  • Matplotlib and Seaborn for Python visualizations
Phase 5 · Weeks 19–22

Real Projects

  • Work on real client and industry datasets
  • Deliver stakeholder reports with business recommendations
  • Present insights to simulated leadership panels
  • Peer review and collaborative analysis sprints
Phase 6 · Weeks 23–26

Career Preparation & Placement

  • Portfolio building: showcase 8 polished projects
  • Resume writing and LinkedIn optimization
  • Mock interviews with industry mentors
  • Placement support with our hiring partners

Tools & Technologies

Python SQL Power BI Tableau Excel Pandas NumPy Matplotlib Seaborn PostgreSQL MySQL Google Sheets Jupyter Notebook VS Code Git

Practice Projects

🛒

E-Commerce Analytics Dashboard

Analyze sales trends, customer behavior, and inventory patterns for a simulated e-commerce brand. Deliver an interactive Power BI dashboard.

Python Power BI SQL
👥

Customer Segmentation Analysis

Use clustering techniques to segment customers by behavior, demographics, and value. Present findings to a simulated marketing team.

Python Tableau Excel
📈

Sales Performance Report

Build a comprehensive quarterly sales report for regional managers. Identify top-performing SKUs, channels, and growth opportunities.

SQL Power BI Excel
🤖

Predictive Analytics Model

Build a churn prediction model using scikit-learn. Present model accuracy, feature importance, and actionable business recommendations.

Python scikit-learn Jupyter

Your Mentors

RK
Rahul Kapoor
Senior Data Scientist @ Google
PM
Priya Menon
Analytics Lead @ Flipkart
AS
Arjun Shah
Data Architect @ Microsoft

Frequently Asked Questions

Do I need prior experience?+

No prior experience is required. We start from the very foundations — data types, basic Excel, and beginner SQL — and progressively build your skills up to advanced analytics and machine learning fundamentals. All you need is a willingness to practice consistently.

Is this a live or recorded program?+

This is a live, hands-on practice program. You'll attend weekly live mentor sessions, collaborate with peers on real projects, and receive real-time feedback on your work. Recordings of sessions are available for review, but the emphasis is on active participation and daily practice.

How much time commitment is required per day?+

Plan for 2–3 hours of focused practice daily. This includes working on tasks in our Industry Lab, attending mentor sessions (typically on Fridays), and completing project deliverables. The program is designed for working professionals and students who can dedicate consistent daily time.

Will I get a certificate?+

Yes. Upon successful completion of the program — including all required projects and minimum attendance — you will receive an industry-recognized certificate from Tech Practice Lab. This certificate is backed by our partner companies and is recognized in hiring processes at several top firms.

What does the placement support include?+

Placement support includes: resume review and rewrite, LinkedIn profile optimization, mock interview sessions with industry mentors, referrals to our network of 200+ hiring partners, and access to our exclusive job board. We work with you until you land a role that matches your practice track.

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