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NextGen Data Analyst with AI

The AI-Augmented Job Oriented NextGen Data Analyst with AIΒ is designed to transform freshers and graduates into industry-ready Data Analysts.This program…
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30 hours

About Course

The AI-Augmented Job Oriented NextGen Data Analyst with AIΒ is designed to transform freshers and graduates into industry-ready Data Analysts.

This program begins with strong foundations in Excel and SQL, advances into Data Visualization using Power BI, includes a Tableau Proof of Concept (POC) for cross-tool exposure, and builds analytical capabilities using Python for Data Analysis.

This is a complete end-to-end Data Analytics career program focused on practical implementation and real-time business problem solving.


πŸ‘¨β€πŸŽ“ Who Should Enroll?

  • Freshers looking to start a career in Data Analytics

  • Non-IT graduates transitioning into IT

  • Professionals upgrading from MIS / Reporting roles

  • Working professionals seeking career growth in analytics

  • Anyone interested in data-driven decision making


πŸ“š What You Will Learn

  • Advanced Excel for Data Analysis

  • SQL for Data Extraction & Reporting

  • Data Cleaning & Transformation

  • Power BI – Complete Dashboard Development

  • DAX Fundamentals & Data Modeling

  • Tableau (POC & Comparative Understanding)

  • Python for Data Analysis

  • Data Visualization & Storytelling

  • Real-Time Business Case Studies

  • Resume Preparation & Interview Support


πŸ›  Tools & Technologies Covered

  • Microsoft Excel (Advanced)

  • SQL (MySQL / SQL Server)

  • Power BI (Complete)

  • Tableau (POC Exposure)

  • Python (Pandas, NumPy, Matplotlib – Basics for Analysts)

  • Data Modeling Concepts

  • Git (Basics)

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

SQL for Data Analyst
By the end of this module, learners will be able to: Extract meaningful insights from databases Write complex SQL queries confidently Perform data cleaning and transformation Generate business reports using SQL Handle real-time interview SQL questions Prepare datasets for Power BI / Tableau

  • Database & SQL Fundamentals
  • Data Retrieval Using SELECT (Core Foundation)
  • Aggregate Functions & Grouping
  • Joins (Very Important for Analysts)
  • Subqueries & Nested Queries
  • Advanced Filtering & Case Statements
  • Date & String Functions
  • Data Cleaning & Transformation
  • Window Functions (Advanced – High Interview Value)
  • Views & Data Preparation

Power BI
Connect Power BI to multiple data sources Clean & transform raw data using Power Query Build proper data models Write DAX measures confidently Design professional dashboards Publish & share reports Handle real-time business scenarios

Tableau POC (Proof of Concept)
Understand Tableau interface Connect & prepare data Build interactive dashboards Use basic calculations Create business-ready visualizations Experience real-time dashboard building

Python for Data Analyst
Write Python programs confidently Perform data cleaning & transformation Analyze large datasets Use Pandas & NumPy efficiently Create visualizations Work on real-world analytics projects

Excel for Data Analyst
Understand Excel interface & data handling Use formulas confidently Clean and prepare datasets Perform data analysis using functions Create professional reports & dashboards Prepare Excel-based MIS reports