PrepNPlaced
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πŸš€ Welcome to the Elite Data Engineering & Agentic AI Hub! πŸš€

πŸ‘‘ Community Creator: Mandar Patil
πŸ‘¨β€πŸ’» Admin & Mentor: Durgesh Yadav

The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst roles
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πƒπšπ­πš π€π§πšπ₯𝐲𝐬𝐭 π‹πžπšπ«π§π’π§π  π‘π¨πšππ¦πšπ© 2026 πŸ”₯πŸ”₯πŸ”₯

|── Foundations (Business + Analytics Thinking)
| β”œβ”€β”€ What is Data Analysis?
| β”œβ”€β”€ Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
| β”œβ”€β”€ Business Metrics (Revenue, Profit, Growth, Retention, CAC, LTV)
| β”œβ”€β”€ KPI vs Metrics
| β”œβ”€β”€ Data-driven Decision Making
| β”œβ”€β”€ Problem Solving Framework
| └── Asking Business Questions
|
|── Excel (Core Tool – Still Widely Used)
| β”œβ”€β”€ Basics (Cells, Sheets, Formatting)
| β”œβ”€β”€ Formulas (SUM, IF, COUNT, AVERAGE)
| β”œβ”€β”€ Lookup Functions (VLOOKUP, XLOOKUP, INDEX-MATCH)
| β”œβ”€β”€ Pivot Tables & Pivot Charts
| β”œβ”€β”€ Data Cleaning (Text functions, Remove duplicates)
| β”œβ”€β”€ Conditional Formatting
| β”œβ”€β”€ Basic Dashboards
| └── Excel Automation (Basic Macros)
|
|── Python for Data Analysis
| β”œβ”€β”€ Python Basics (Variables, Data Types)
| β”œβ”€β”€ Control Flow (if, for, while)
| β”œβ”€β”€ Functions
| β”œβ”€β”€ Error Handling (try-except)
| β”œβ”€β”€ Data Structures (List, Tuple, Set, Dictionary)
| β”œβ”€β”€ List & Dict Comprehensions
| β”œβ”€β”€ NumPy (Arrays, Vectorization)
| β”œβ”€β”€ Pandas (DataFrames, Cleaning, Transformation)
| β”œβ”€β”€ GroupBy & Aggregations
| β”œβ”€β”€ Merge, Join, Pivot
| β”œβ”€β”€ Time Series Basics
| β”œβ”€β”€ Data Visualization (Matplotlib, Seaborn)
| └── Automation Scripts
|
|── SQL (Core Skill – Must Have)
| β”œβ”€β”€ SELECT, WHERE, ORDER BY
| β”œβ”€β”€ Joins (INNER, LEFT, RIGHT, FULL)
| β”œβ”€β”€ GROUP BY & Aggregations
| β”œβ”€β”€ CASE WHEN
| β”œβ”€β”€ Subqueries
| β”œβ”€β”€ CTEs
| β”œβ”€β”€ Window Functions
| β”œβ”€β”€ Data Cleaning in SQL
| └── Query Optimization
|
|── Data Visualization & BI Tools
| β”œβ”€β”€ Power BI
| β”‚ β”œβ”€β”€ Data Loading
| β”‚ β”œβ”€β”€ Data Modeling
| β”‚ β”œβ”€β”€ Relationships
| β”‚ β”œβ”€β”€ DAX (Measures, CALCULATE, Time Intelligence)
| β”‚ β”œβ”€β”€ Dashboard Design
| β”‚ └── Publishing & Sharing
| β”‚
| β”œβ”€β”€ Tableau (Optional)
| β”‚ β”œβ”€β”€ Worksheets & Dashboards
| β”‚ β”œβ”€β”€ Calculated Fields
| β”‚ β”œβ”€β”€ Filters & Parameters
| β”‚ └── Storytelling
| β”‚
| └── Dashboard Best Practices
| β”œβ”€β”€ UX/UI Design
| β”œβ”€β”€ KPI Visualization
| └── Storytelling with Data
|
|── Statistics for Data Analysts
| β”œβ”€β”€ Descriptive Statistics (Mean, Median, Mode)
| β”œβ”€β”€ Variance & Standard Deviation
| β”œβ”€β”€ Distribution Basics
| β”œβ”€β”€ Correlation
| β”œβ”€β”€ A/B Testing Basics
| β”œβ”€β”€ Hypothesis Testing
| └── Confidence Intervals
|
|── Data Cleaning & Preparation
| β”œβ”€β”€ Handling Missing Values
| β”œβ”€β”€ Removing Duplicates
| β”œβ”€β”€ Data Type Conversion
| β”œβ”€β”€ Outlier Detection
| β”œβ”€β”€ Data Validation
| └── Data Standardization
|
|── Data Analysis Techniques
| β”œβ”€β”€ Trend Analysis
| β”œβ”€β”€ Cohort Analysis
| β”œβ”€β”€ Funnel Analysis
| β”œβ”€β”€ Retention Analysis
| β”œβ”€β”€ Segmentation (RFM Analysis)
| └── Root Cause Analysis
|
|── Data Engineering Basics (High Demand πŸ”₯)
| β”œβ”€β”€ OLTP vs OLAP
| β”œβ”€β”€ Data Warehousing Concepts
| β”œβ”€β”€ Fact & Dimension Tables
| β”œβ”€β”€ Star Schema
| β”œβ”€β”€ Snowflake Schema
| β”œβ”€β”€ ETL vs ELT
| β”œβ”€β”€ Data Pipelines
| β”œβ”€β”€ dbt (Data Transformation) ⭐️
| └── Apache Airflow (Basics)
|
|── Cloud & Modern Data Stack (2026 Must πŸš€)
| β”œβ”€β”€ Cloud Platforms
| β”‚ β”œβ”€β”€ AWS (S3, Redshift Basics)
| β”‚ β”œβ”€β”€ Google BigQuery ⭐️
| β”‚ └── Azure Synapse
| β”‚
| β”œβ”€β”€ Data Platforms
| β”‚ β”œβ”€β”€ Snowflake ⭐️
| β”‚ β”œβ”€β”€ BigQuery
| β”‚ β”œβ”€β”€ Amazon Redshift
| β”‚ └── Databricks (Basics)
| β”‚
| └── Data Storage Concepts
| β”œβ”€β”€ Data Lakes
| β”œβ”€β”€ Data Warehouses
| └── Lakehouse Architecture
|
|── AI & Automation for Analysts (Game Changer πŸ”₯)
| β”œβ”€β”€ ChatGPT for SQL & Python
| β”œβ”€β”€ Copilot for Coding
| β”œβ”€β”€ Prompt Engineering Basics
| β”œβ”€β”€ Automated Reporting
| β”œβ”€β”€ Smart Dashboards
| └── AI-assisted Data Analysis
|
|── Real-World Data Analyst Workflow
| β”œβ”€β”€ Data Collection (SQL, APIs, Files)
| β”œβ”€β”€ Data Cleaning
| β”œβ”€β”€ Data Analysis
| β”œβ”€β”€ Visualization
| β”œβ”€β”€ Insight Generation
| └── Stakeholder Communication
|
|── Projects (MOST IMPORTANT)
| β”œβ”€β”€ Beginner
| β”‚ β”œβ”€β”€ Sales Analysis
| β”‚ └── Customer Segmentation
| β”‚
| β”œβ”€β”€ Intermediate
| β”‚ β”œβ”€β”€ E-commerce Dashboard
| β”‚ β”œβ”€β”€ Retention Analysis
| β”‚ └── KPI Dashboard
| β”‚
| β”œβ”€β”€ Advanced
| β”‚ β”œβ”€β”€ End-to-End Data Pipeline
| β”‚ β”œβ”€β”€ Real-Time Dashboard
| β”‚ └── Business Case Study
|

πŸ‘‰WhatsApp: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46

πŸ‘‰Telegram: https://t.me/dataanalyticsbuddy

Till then keep learning & keep exploring πŸ™Œβ˜ΊοΈ
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πŸš€ DE Cohort 4 β€” Orientation Session

Hey Everyone! πŸ‘‹

Please join us tomorrow at 7:00 AM IST for the Data Engineering Cohort 4 Orientation Session.

πŸ”— Session Link:
https://us06web.zoom.us/j/82084947108?pwd=ctzqc2t9EzNXfyVvlR7JzIwv7LM8zc.1

✨ What We’ll Cover:
β€’ Understand the complete DE Cohort 4 journey
β€’ Explore the curriculum, learning roadmap & projects
β€’ Understand how the cohort is structured
β€’ Know what you can expect throughout the program
β€’ Learn how we prepare you for Data Engineering roles in product-based companies
β€’ Get clarity on the learning process, mentorship and career support

🌱 This orientation is a great opportunity to understand how the cohort can help you build the skills, projects and interview readiness required to move toward product-based companies.

πŸ“š Explore the Cohort:
https://www.prepnplaced.com/courses

πŸ”₯ DE Cohort 4 starts with the right foundation. See you all at 7 AM!

Let's build, learn and grow together. πŸš€
Hi All, I have Created a Free Platform where you People can get best Job as a Fresher Click on the Link - https://www.prepnplaced.com/apprenticeships

Click on the Link & Thanks me ! ❀️

Regards,
Durgesh Yadav
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Visit prepnplaced.com/courses & Enroll Today for your Next Perfect Switch πŸš€
A 244-page Data Engineering book. 1 month of live Data Engineering webinars. A full Data Analytics course. β‚Ή0. No card. No catch. Links below.

Why I built this:

I'm a Data Engineer at 7-Eleven, ex-Target. For the last 4 years, outside work, I've mentored people 1:1 into data roles and taught at GeeksforGeeks, Scaler, Bosscoder and Analytics Vidhya.

The same story kept repeating. Someone in ops, support, sales or a mechanical job, with a career gap and zero tech experience, who could clearly do this work. What stopped them wasn't ability. It was courses they couldn't afford, and a job hunt scattered across a dozen tools: one site to score a resume, another to find jobs, another to hunt referrals, a spreadsheet to track it all, and nobody telling them what to do next.

So Pragya Rathi and I built one place for the whole thing.

What PrepNPlaced does: pick your target company. Score and rewrite your resume. Find matching jobs and 770 hand-checked apprenticeships. Find who can refer you. Practise with AI mock interviews and 32,000+ real interview questions. Prove it with a proctored Top 1% skill test. Free to start.

Proof: learners from this community are now at 7-Eleven, Target, Deloitte, EY, Standard Chartered and Wells Fargo. Sneha had a 2-year gap and zero tech experience. She's a Data Engineer at 7-Eleven today. Every story on the site links to a real LinkedIn profile.

Launch week goodies, all free:

πŸ“˜ Data Engineering: From Zero to Production & Interview Ready (244 pages)
https://www.prepnplaced.com/data-engineering-book

🧰 Field Kit: cheat sheets + interview questions, open source
https://github.com/analyticsdurgesh/data-engineering-book-field-kit

🎯 Live Data Engineering webinars, 1 month access
https://www.prepnplaced.com/webinar

This Saturday, 3 Oct, 12:30 PM IST: Tesla Telemetry Pipeline. S3 β†’ Airflow β†’ Snowflake, running on your own laptop by the end.
https://www.prepnplaced.com/webinar/tesla-telemetry-pipeline

Recordings of every past session:
https://www.prepnplaced.com/webinar/recordings

πŸ“Š Data Analytics course: SQL, Python, Power BI. Free forever.
https://www.prepnplaced.com/open-learning

The platform: https://www.prepnplaced.com

One ask. Comment "DE" or "DA" and I'll reply with the exact page to start on for your goal. Repost so the person who needs this actually sees it.

I still write pipelines at 7-Eleven by day. This is what I do with everything else. Start today.

#PrepNPlaced #DataEngineering #DataAnalytics #LaunchDay #FreeResources
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