Data Analytics

₹35,000/-

Data Analytics Course in Hyderabad

Data Analytics

Build practical analytics skills through online learning or offline classroom training in Hyderabad. This Data Analytics program includes Excel, SQL, Python, Power BI, Tableau, and project work designed for job-ready analyst roles.

Course Fee: ₹35,000/-

3 MonthsDuration

Online / OfflineMode

4.8 ★Rating

6 Jul 2026Next Batch

100%Placement Support

About

What this program is about and what you'll achieve.

"IntellentX's Data Analytics Course in Hyderabad is designed to take you from raw data to real business decisions."

Available both online and offline at our Hyderabad centre, this 20-week program covers Excel, SQL, Python, Power BI, and Tableau through a hands-on curriculum built around real-world datasets. You will complete 3 major projects and 10 coding exercises that mirror the work done by data analysts at leading companies. Graduates of this program go on to roles such as Data Analyst, Business Intelligence Analyst, and Reporting Analyst — with the skills and portfolio to back it up.

Curriculum aligned with NASSCOM FutureSkills Prime — India's national framework for tech skill development.

Tools & Stack

Technologies and platforms you'll work with hands-on.

Advanced Excel and VBA

SQL and relational databases

Python for analytics

Power BI and Tableau

Data cleaning, reporting, and dashboard workflows

Projects

Real-world projects you'll build to strengthen your portfolio.

01PROJECT 01

Covid 19 Vaccination Project

Detailed vaccination trends by country wise and Brand wise. Number of people got vaccinated and other trends.

02PROJECT 02

HR Analytics

Employee attrition patterns across departments, roles, age groups, and salary bands. Employee satisfaction and wellbeing scores across multiple dimensions. Performance metrics and tenure trends.

03PROJECT 03

Sales Analytics

It models a real world Indian retail business. Transactions spanning multiple product categories, cities, and states.

Career Outcomes

Roles and opportunities you'll be ready for after completing this program.

Data Analyst

Business Intelligence Analyst

Reporting Analyst

Operations Analyst

Curriculum

4 modules covering everything from fundamentals to advanced topics.

Understanding Excel As A Powerful Tool

Formatting Techniques

Conditional Formatting

Data Types And Number Formats

Data Generation Techniques

Lookup And Reference Functions

Dynamic Lookups

Date And Time Functions, Logical Functions, Aggregate Functions, Text Functions

Statistical Functions, Math Functions, Information Functions

Power Query And Power Pivots

Data Visualization

GEN AI: Generate rule logic and exact formulas for conditional formatting

GEN AI: Suggest consistent styles for dashboards (readability, accessibility)

GEN AI: Create realistic sample datasets for practice (with constraints)

GEN AI: Suggest test cases to validate formulas and models

GEN AI: Recommend modern patterns like XLOOKUP, FILTER, UNIQUE, SORT, LET, and LAMBDA

GEN AI: Convert old formulas such as VLOOKUP and INDEX-MATCH to modern ones

GEN AI: Create formula templates for common analytics tasks

GEN AI: Turn an analysis goal into a dashboard wireframe

Power Query Editor - Etl

DAX, Calculated Tables, Calculated Column, Calculated Measures.

100+ Dax Functions

The Power Bi User Interface And Visualization

Understanding Column Chart, Bar Chart, Line Chart, Pie Chart, Donut Chart, Funnel Chart, Tree Map Chart

Conditional Formatting

Formatting Techniques In Visualization

Sample Dashboard With Animation Visual

Power Bi Artificial Intelligence Visual

Understanding The Use Of Ai In Power Bi

Drill Through Function And Usage

Bookmark And Different Use And Implementation

Power Bi Service

Loading Custom Visual, Pinning Visual And Dashboard Creation

Schedule Refresh

GEN AI: Draft transformation steps, fix refresh errors, and optimize query folding

GEN AI: Create data cleaning rules and naming conventions

GEN AI: Convert plain-English KPIs into DAX

GEN AI: Debug filter context issues using CALCULATE, ALL, ALLEXCEPT, and REMOVEFILTERS

GEN AI: Recommend the right visual and interactivity, including drillthrough and tooltips

GEN AI: Provide conditional formatting logic through rules or field value measures

GEN AI: Turn natural-language questions into measures and visual suggestions

GEN AI: Suggest where AI helps most, including anomaly detection, decomposition, and narrative summaries

SQL/T-SQL Commands

DDL - Data Definition Language

DML - Data Manipulation Language

DTL - Data Transaction Language

DCL - Data Control Language

DRL/DQL - Data Retrieval Langage

Datatypes

Database Constraints

Normalization

Functions

Window Functions

Sub Queries

Relational And Logical Operators

Case Expressions

Joins

Set Operators

Views

Triggers

GEN AI: Generate queries from requirements

GEN AI: Explain execution plans conceptually and spot anti-patterns

GEN AI: Recommend schema designs and constraints like PK, FK, UNIQUE, and CHECK

GEN AI: Draft advanced analytics SQL using ROW_NUMBER, LAG, LEAD, and SUM OVER

GEN AI: Provide beginner-friendly walkthroughs for complex joins

Understanding Data Types And Methods

Control Flow Statements

List And Dictionary Comprehensions

Functions And Modules

Handling File Operations

Numpy Fundamentals

Numpy Advanced Operations

Pandas Fundamentals

Data Preparation And Transformation

Data Visualization With Matplotlib/Seaborn

GEN AI: Generate clean, idiomatic Python snippets tailored to your task

GEN AI: Suggest the right Pandas approach, such as groupby, merge, pivot, and apply versus vectorization

GEN AI: Generate data cleaning pipelines and validation checks

GEN AI: Recommend plots, generate code, and enforce consistent themes

Various Tools: Excel with Copilot or ChatGPT for formulas, explanations, dashboard ideas, and data cleaning guidance

Various Tools: Power BI with Copilot or ChatGPT for DAX drafting, model guidance, narrative summaries, and report design

Various Tools: SQL editors like SSMS or Azure Data Studio with GenAI assistants for query drafting, optimization suggestions, and schema generation

Various Tools: Python notebooks and IDEs like VS Code or Jupyter with GenAI for code scaffolding, debugging, unit tests, and data pipelines

Prerequisites

What you should know or have before joining this program.

Basic understanding of how spreadsheets work (Excel or Google Sheets)

No prior coding or statistics background required

Curiosity and interest in data-driven decision making

Who Is This For?

This program is designed for the following learners.

Aspiring data analysts and professionals entering the data field

Business analysts and decision-makers wanting to improve data skills

Students and career switchers interested in analytics roles

FAQs

Answers to the most common questions about this program.

Yes. IntellentX offers online learning for students from any location, along with offline classroom training in Hyderabad.

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Data Analytics Course in Hyderabad