Branch - 100 Feet Road  Hopes  Kuniyamuthur

Branch - 100 Feet Road  Hopes  Kuniyamuthur

Data NextGen Analytics Programme | Indra Institute of Technology - Coimbatore
Indra Institute of Technology | Coimbatore

Master Data NextGen Analytics with Python, Statistics & Gen AI

4 Months | Industry-Oriented | Project-Based Learning. Build strong foundations in data analysis, statistics, visualization, and AI-driven business insights.

4 Global Certifications Live Industry Projects Industry Mentors
Data NextGen Analytics Programme
Gen AI ToolsChatGPT, Copilot, Gemini
100% Placement SupportTop MNCs & Analytics Firms
5
Core Tools
4
Global Certifications
98%
Placement Rate
180+
Hours of Training
Programme Highlights

What You'll Master

Data & Analytics

Build strong foundations in data analysis, visualization, and business insights.

Statistics

Develop predictive models and apply AI techniques to real-world datasets.

Industry Projects

Work with practical datasets, projects, and data-driven problem solving.

Business Intelligence

Master Python, Excel, SQL, Power BI, Tableau, and modern analytics workflows.

🚀 Limited Batch Seats Available!

Get 20% early bird discount + free analytics toolkit worth ₹5000

4-Month Learning Roadmap

Learn • Practice • Build • Become Industry-Ready

01

Python & Data Foundations

Python, File Handling, OOP's Concepts

02

Python Libraries and Statistics

NumPy, Pandas, Matplotlib, Probability, Statistics

03

Advanced Excel

Functions and Formulas, Pivot Analysing, Power Query

04

SQL

DDL, DML, DQL, SQL Functions, Data Cleaning using SQL

05

Power BI

DDL, DML, DQL, SQL Functions, Data Cleaning using SQL

06

Tableau

Data Visualization, Dashboards, Storytelling with Data

Modules Covered

Python — From Essentials to OOP's

Essentials

Introduction, Installation, Features, Python variables, Input & Output and Import, Using Pycharm & Scripting, Keywords & Identifiers, Operators, Indentations, Basic Data types: int, float, string, Boolean and Complex, Numbers and String, Tuple and List, Dictionary and Set, Arrays

Pre-Defined Functions

String, String slices, Date, Math, Random and Statistics, PDF Data Extraction, CSV module, Working with Tuples, Working with lists, Working with Sets, Types of Functions, Function Arguments, Global, local and Nonlocal, Modules, Packages

File & Exception Handling

Type of Files, File Operations, Directories, File I/O Attributes, File Methods, Try, Except and Finally, Try else, Custom Exception, Error Vs. Exception

OOP's Concepts

Real Time in OOP's, Access Specifiers, Class and Objects, Methods, Overloading, Overriding, Inheritance, Abstraction, Data Hiding

Modules Covered

NumPy & Pandas — Data Manipulation Mastery

NumPy

NumPy Introduction, NumPy Installation, NumPy Arrays, Array Dimensions, Data Types

Array Operations

Indexing, Slicing, Reshape, Flatten, Iteration, Joining, Splitting, Searching, Sorting, Filtering

Numerical Analysis

Mathematical Operations, Statistical Operations, Random Data Generation, Mean, Median, Mode, Standard Deviation, Min / Max

Pandas Fundamentals

Pandas Introduction, Series, DataFrame, Index and Columns, Importing CSV, SQL, JSON, Excel

Data Exploration

head(), tail(), shape, columns, dtypes, info(), describe(), unique(), value_counts()

Data Selection and Cleaning

Selecting Columns & Rows, Loc, iloc, Conditional Selection, Missing Values, Duplicates, Data Type Conversion, Outlier Identification, String Cleaning, Date Conversion

Data Manipulation

Sorting, Filtering, GroupBy, Aggregation, Merge, Join, Concat, Pivot Table, Melt, Apply, Map, Lambda

Modules Covered

Statistics, Probability & Visualization

Descriptive Statistics

Population & Sample, Mean, Median, Mode, Range, Variance, Standard Deviation, Quartiles, Percentiles, IQR

Data Distribution

Normal Distribution, Skewness, Kurtosis, Outliers, Z-Score

Probability & Relationship Analysis

Basic Probability, Conditional Probability, Probability Distribution, Covariance, Correlation, Correlation Matrix

Inferential Statistics

Sampling, Population vs Sample, Confidence Interval, Hypothesis, Null Hypothesis, Alternative Hypothesis, p-value, Type I Error, Type II Error

Business Statistics

A/B Testing, Customer Behaviour Analysis, Sales Analysis, Marketing Analysis

Matplotlib

Introduction, Pyplot, Figure & Axes, Line Chart, Bar Chart, Pie Chart, Histogram, Scatter Plot, Box Plot, Subplots, Labels, Titles, Legends, Grid

Modules Covered

Excel — From Fundamentals to Dashboarding

Excel Fundamentals

Introduction to Excel, Workbook and Worksheet, Rows, Columns and Cells, Data Types, Formatting and Number Formats, Sorting and Filtering, Excel Tables, Named Ranges, Freeze Panes, Basic Data Cleaning

Mathematical & Logical Functions

SUM, AVERAGE, COUNT, COUNTA, MIN, MAX, ROUND, IF, IFS, AND, OR, NOT, IFERROR

Conditional & Lookup Functions

SUMIF, SUMIFS, COUNTIF, COUNTIFS, AVERAGEIF, AVERAGEIFS, VLOOKUP, HLOOKUP, XLOOKUP, INDEX, MATCH, XMATCH

Text & Date Functions

LEFT, RIGHT, MID, LEN, TRIM, UPPER, LOWER, PROPER, CONCAT, TEXTJOIN, TEXTSPLIT, TODAY, NOW, DATE, YEAR, MONTH, DAY, DATEDIF

Data Analysis & Modern Functions

Conditional Formatting, Data Validation, Remove Duplicates, Find & Replace, Flash Fill, Advanced Filter, What-If Analysis, Goal Seek, Scenario Manager, Solver, Dynamic Arrays, FILTER, SORT, SORTBY, PMT, PPMT, IPMT, RATE, NPER, PV, FV

Power Query, Pivot Tables & Dashboard

Power Query, Importing Data, Connecting Multiple Data Sources, Pivot Tables, Value Field Settings, Grouping Data, Calculated Fields, Pivot Charts, Slicers, Timelines, KPI Creation, Interactive Reports, Dashboard Layout, Business Reporting

Modules Covered

SQL — From Basics to Advanced Analytics

SQL Introduction

What is Data?, What is Database?, DBMS vs RDBMS, MySQL Tables, Records, Fields, Primary Key, Foreign Key, Unique Key

SQL Languages & DDL/DML

DDL, DML, DCL, DQL, TQL, CREATE, ALTER, DROP, TRUNCATE, INSERT, UPDATE, DELETE

Select, Filter & Joins

SELECT, WHERE, DISTINCT, ORDER BY, LIMIT, AND, OR, NOT, IN, NOT IN, BETWEEN, LIKE, NOT LIKE, IS NULL, IS NOT NULL, Inner Join, Right Join, Left Join, Full Join, Union

SQL Functions

Aggregate Functions — Sum, Count, Min, Max, Avg; Numeric Functions — Round, Ceil, Floor; String Functions — CONCAT, LENGTH, UPPER, LOWER, SUBSTRING, TRIM; Date Functions — DATE, YEAR, MONTH, DAY, DATE_FORMAT, DATEDIFF; GROUP BY, HAVING, Aliases

Subqueries, CASE & CTE

Single Row Subquery, Multiple Row Subquery, Nested Queries, Correlated Subquery, CASE, WHEN-THEN, ELSE, END, CTE Introduction, WITH Clause, Multiple CTEs

Window, Ranking & Analytical Functions

Window Functions, OVER(), PARTITION BY, ORDER BY, ROW_NUMBER(), RANK(), DENSE_RANK(), LAG(), LEAD(), Running Total, Moving Analysis

Database Objects

Views, Basic Stored Procedures, Transactions, COMMIT, ROLLBACK

Modules Covered

Power BI — From Data to Interactive Dashboards

Power BI Introduction

Power BI Desktop, Interface, Report View, Data View, Model View, Data Sources — Excel, CSV, MySQL, Import vs DirectQuery

Power Query

Data Import, Profiling, Cleaning, Change Data Types, Remove Duplicates, Handle Missing Values, Replace Values, Split Columns, Merge Columns, Merge Queries, Append Queries, Pivot, Unpivot, Data Transformation, Query Refresh

Data Modelling

Tables, Relationships, Primary Key, Foreign Key, Cardinality, Cross Filter Direction, Fact Tables, Dimension Tables, Star Schema, Date Table, Hierarchies

Data Visualization

Cards, KPI, Table, Matrix, Bar Chart, Column Chart, Line Chart, Area Chart, Combo Chart, Pie/Donut Chart, Scatter Plot, Treemap, Waterfall Chart, Funnel Chart, Map Visualizations

Filters & Interactivity

Visual-Level, Page-Level, Report-Level Filters, Slicers, Drill Down, Drill Up, Drill Through, Tooltips, Bookmarks, Buttons, Page Navigation, Conditional Formatting

DAX & Time Intelligence

Calculated Columns, Measures, Basic DAX, CALCULATE, FILTER, ALL, ALLSELECTED, SUMX, AVERAGEX, COUNTX, IF, SWITCH, RELATED, Date Table, YTD, MTD, QTD, Previous Year, YoY Growth, Running Total

Power BI Service

Power BI Desktop vs Power BI Service, Creating/Accessing Power BI Service, Publishing Reports, Workspaces, Sharing Reports, Scheduled Refresh

Modules Covered

Tableau — Data Storytelling & Advanced Visualizations

Tableau Introduction

What is Tableau?, Why Data Visualization?, Unique Features, Tableau Overview & Architecture, File Types & Extensions, Data Connections, Tableau Data Server

Chart Options

Combined Axis, Combination Charts, Geocoding and Geographic Mapping, Scatter Plots, Text tables and Highlight tables, Heat Maps, Histograms, Pie Charts, Bullet Charts

Joins in Tableau

Types of Join, When to Use, Joining, Data Blending, When to Use Data Blending, Joining vs. Blending, Creating Data Extracts

Advanced Charts

Pareto Charts, Waterfall Charts, Gantt Charts, Box Plots, Sparkline Charts, Density Charts, KPI Charts

Gen AI Tools Used for Data Analytics

Work Smarter. Analyse Faster. Build Better Insights.

ChatGPT

Data analysis, code generation, insights & reporting.

Gemini

Data exploration, analysis, summarization & visualization.

Microsoft Copilot

Excel analysis, data modelling, automation & productivity.

Perplexity

Real-time research, trend analysis & data exploration.

Canva AI

Visualizations, infographics, reports & presentations.

Notion AI

Organize data, create reports & manage workflows.

DALL·E

Generate data visuals, charts & creative infographics.

GitHub Copilot

Write and optimize Python/SQL code faster.

Global Certifications

Industry-Recognized Credentials

Google Data Analytics

Professional Certificate

Microsoft Power BI

Data Analyst Certification

Tableau Certification

Data Analyst

IBM Data Analyst

Professional Certificate

📈 Data Analytics Career Demand in India

₹4-8 LPA
Avg. Fresher Salary
₹12-20 LPA
Senior Analyst
30% YoY
Job Growth Rate

🎓 Don't Miss This Opportunity!

Get free career counseling & course preview

Career Pathways

Build Your Career in Data & AI

Data Analyst

Data & Analytics

Business Intelligence Analyst

Data & Analytics

Data Visualization Specialist

Data & Analytics

Research Analyst

Data & Analytics

Predictive Analytics Associate

Data & Analytics

Data Visualization Analyst

Specialized Data Careers

SQL / Database Analyst

Specialized Data Careers

Marketing Data Analyst

Specialized Data Careers

Financial Data Analyst

Specialized Data Careers

Operations Data Analyst

Specialized Data Careers

Internship Journey

Real-time Projects +
Industry Exposure

Bridge the gap between learning and a real analytics career with our structured pathway.

Core Training

Expert-led curriculum

Live Client Projects

Real-world deliverables

Placement Drive

Direct referrals & drives

Wingroo

Innovate. Build. Grow.

Official Internship Partner

  • Web & App Development
  • AI & Automation
  • Live Project Mentorship
Tatabad, Coimbatore
+91-8124779111
Visit Website
Our Network

Trusted by Industry Leaders

Accenture
Cognizant
TCS
Wipro
Zoho
Kotak Mahindra Bank
Omega Healthcare
NimbusOne
Foss Infotech
GLTSIN
Ksquare
Vsecure Networks
Sagility
Peps Industries
faqs

Got Questions? We've got answers

Is this course suitable for beginners?

Absolutely! The Data NextGen Analytics Programme starts from Python fundamentals and progresses to advanced statistics, SQL, Power BI, Tableau, and Gen AI tools.

What is the duration of the program?

4 Months (Weekend batch) or Fast-track weekday. 180+ hours of live training with hands-on projects.

Do you provide placement support?

Yes, dedicated placement cell, resume workshops, and guaranteed internship referral with our partner network.

Is there EMI / scholarship available?

Yes, 0% EMI & merit-based scholarships. Contact us for more details.

Ready to become a Data Analytics expert?

Join Indra Institute of Technology — limited seats for upcoming batch.

🎉 Thank you! We'll contact you soon.
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