Launch Your Data Analytics Career in Just 16 Weeks

1️⃣ Overview

Build Job-Ready Data Analytics Skills Through Live, Hands-On Training

The DataLunch Data Analyst Bootcamp is a comprehensive 16-week, live, instructor-led training program designed to help beginners, career changers, and early-career professionals develop the technical, analytical, and professional skills needed to pursue careers in data analytics.

Over 16 intensive weeks, participants build practical skills in:

• SQL for data extraction, querying, and analysis
• Power BI for business intelligence, visualization, and dashboards
• Python for data analysis and automation
• End-to-end analytics workflows
• Real-world business analytics projects
• Portfolio and capstone development
• Resume, interview, and career preparation

This bootcamp focuses on applied learning — not theory alone. Every concept is reinforced through practical datasets, business case studies, and capstone-level deliverables.

2️⃣ Who This Bootcamp Is For

This program is ideal for:

• Career changers entering data analytics
• Business professionals seeking technical upskilling
• Finance, operations, and marketing analysts
• Recent graduates pursuing analytics careers
• Entrepreneurs who want to make data-driven decisions
• Professionals preparing for data-focused roles

No advanced technical background required — structured progression is built into the program.

3️⃣ What You Will Learn

The bootcamp progresses in four major phases:

🔷 Phase 1 — SQL for Data Analysis

Core Skills Covered

• SQL fundamentals and relational databases
• SELECT, WHERE, GROUP BY, ORDER BY
• Joins (Inner, Outer, Cross)
• Subqueries and CTEs
• Window functions
• Data aggregation and KPI calculation
• Query performance and optimization
• Indexing and execution plans

Business Applications

• Extracting business data from structured databases
• Cleaning and transforming datasets
• Creating analytical summaries directly in SQL
• Building efficient production-level queries

🔷 Phase 2 — Power BI for Business Intelligence

Core Skills Covered

• Data connections (Excel, SQL, APIs)
• Data modeling and relationships
• Power Query (data transformation)
• DAX fundamentals and advanced measures
• Time intelligence calculations
• Dashboard design principles
• Advanced visualizations
• Publishing and sharing reports

Business Applications

• Building executive dashboards
• Creating KPI tracking systems
• Designing interactive reports
• Forecasting and trend analysis

🔷 Phase 3 — Python for Data Analytics

Core Skills Covered

• Python fundamentals for analytics
• Pandas for data manipulation
• NumPy for numerical computing
• Data cleaning and transformation
• Exploratory Data Analysis (EDA)
• Data visualization (Matplotlib / Seaborn)
• Automation scripts
• Introduction to analytical modeling

Business Applications

• Cleaning messy real-world datasets
• Performing advanced data exploration
• Automating repetitive data tasks
• Building analytical workflows

🔷 Phase 4 — Capstone, Portfolio & Career Launch

Throughout the final phase of the bootcamp, participants receive structured career preparation designed to help them position their new analytics skills, build a professional presence, and prepare for the data analyst job search. Specifically, our career support includes:

✓ Resume Development & Review
Build or refine a data-focused resume that highlights analytics skills, projects, tools, and relevant professional experience.

✓ LinkedIn Profile Optimization
Strengthen your LinkedIn profile to better communicate your analytics skills, portfolio projects, and career direction to recruiters and employers.

✓ Professional Analytics Portfolio
Organize and present your SQL, Power BI, Python, and capstone work as evidence of your practical analytics capabilities.

✓ Job Search Strategy
Learn how to identify appropriate entry-level and transitional analytics roles, evaluate job descriptions, and focus applications on opportunities that match your skills.

✓ Interview Preparation
Prepare for common data analyst interview questions and learn how to communicate your technical approach, analytical thinking, and business recommendations.

✓ Mock Interview & Feedback
Practice presenting your experience and analytics projects in an interview setting and receive actionable feedback.

✓ Capstone Presentation Coaching
Learn how to explain your project, methodology, dashboard, insights, and recommendations clearly to both technical and nontechnical audiences.