Data Analyst Course In Pitampura

Data Analytics With AI (Professional Program)

Data Analytics combines statistics, programming, visualization, and business intelligence tools to transform raw data into meaningful insights that support strategic business growth.
The Data Analytics Professional Course is suitable for a wide range of academic backgrounds and working professionals. It is especially beneficial fosr individuals interested in data-driven careers and analytical problem-solving.

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Total 10 Modules ( Click For Details )

Advance Excel for Data Analysis with AI

Workbook, Worksheet, Workspaces, Row & Column Settings, Calculation Basics in Excel
References (Relative, Absolute, Mixed), Find & Replacing Data, Auditing, Freeze Panes
Header & Footer setting, Autofill, Autocorrect, Autoformat, Working with Charts

Excel Functions

Logical Functions: (if, Nested if, AND, OR, NOT, XOR, False, True etc.)
Date and Time Functions: (Date, Day, Now, Today, Month, Year, Time, Weekday etc.)
Information functions: (Cell, Error, Isnumber, Iseven, Istext, Type, etc.)
Data Analysis Functions: (DSUM, DMAX, DMIN, DCOUNT, SUMIF, COUNTIFS, DCOUNT etc.)
Math & Trignomatry Functions: (Rand, Round, MOD, SUMIF, LCM etc.)
Statistical Functions: ( Average, COUNTIF, MAX, MIN, Count, Countblank, etc.)
String Functions: (Left, Right, Concat, Mid, Len, Trim, Upper, Lower, Find, search, etc.)
Financial Functions: (PMT, NPV, IRR, FV, PV, etc.)

Data Analysis in Excel (Advance Excel)

If And Analysis, What if Analysis, Goal Seek, Solver, Scenarios
Naming Cell Range (Local and Global), Protecting sheet & workbook
Importing and Exporting Data, Grouping and Subtotal, Macro (recording tool)/EDITING
Customizing Sheet/Cells /Rows/Columns, Customizing Excel Window
Sorting and Filtering Data, Advance Filter, Data Validation
Power Query, Power Pivot, Pivot Table, Pivot Chart (Projects)
H Lookup, V Lookup, X Lookup, Consolidation of Sheets, RD CALCULATION
Printing Worksheet, Custom List, Working with Excel CSV files, Making Excel to PDF file

Live Project on Bulk Data Analysis

Creating Reports with Bulk Data, Sales Dashboard
Automated Payroll Sysem, Inventory Management System
Loan Sheet Preparation (PPMT, IPMT, PMT), Loan EMI Calcultor

Use of AI (ChatGPT) to boost Excel productivity

Google Sheets with AI

Introduction to Google Sheets:

What is Google Sheets?, Differences from Excel, Navigating the interface

Basic Spreadsheet Skills

Entering and formatting data, Working with rows, columns, and cells
Using basic formatting tools (bold, alignment, colors), Undo/redo, copy/paste, and autofill

Basic Functions and Formulas

Introduction to formulas, Cell references: relative vs. absolute
Common functions: SUM, AVERAGE, MIN, MAX, COUNT

Organizing and Managing Data

Sorting and filtering, Freezing rows/columns
Hiding/unhiding rows/columns, Data validation (dropdowns)

Working with Multiple Sheets

Adding, renaming, and linking sheets, Cross-sheet references
Using IMPORTRANGE for data from other files

Intermediate Formulas

IF, IFS, AND, OR, VLOOKUP and HLOOKUP
INDEX and MATCH,Error handling with IFERROR

Charts and Visualization

Creating charts (bar, line, pie, combo), Customizing chart appearance, Using sparklines

Collaboration and Sharing

Sharing settings and permissions, Commenting and suggesting

Advanced Level: Automation & Analysis

Advanced Data Functions

QUERY function deep dive, Pivot tables: creation and customization
Conditional formatting with custom formulas

Data Import & Cleanup

IMPORTDATA, IMPORTXML, IMPORTHTML
Text functions (SPLIT, JOIN, TRIM, TEXT, SUBSTITUTE), Cleaning messy datasets

Introduction to Scripting

Introduction to Google Apps Script, Automating tasks with simple scripts

Real-World Projects

Sales dashboard, Team task manager

Database (MySQL) with AI

Database Terminologies, DDL, DML, DCL
Constraints (Primary Key, Foreign Key, Unique, Check)
Introduction to SQL/MySQL, MySQL Workbench Overview
MySQL Command-Line Interface, Databases, Tables, and Schemas
Data Types (Int, Numeric, Char, Varchar, Date etc.)
Integrity Constraints (Primary Key, Unique, Check, Default, Not Null, References)
Table operations (Creating tables, Altering table, Adding/modifying attributes)
Creating duplicate table, Renaming a table, Renaming an attribute
Querying data, Simple select statements, Filtering data with where
Sorting results with order by, Creating and managing views
Working with expressions, using logical operators (and, or, not)
between, not between, Exists, not exists, any, all
Distinct Clause, Working with NULL values, Table Aliases
MySQL Functions
- Aggregate Functions (count(), sum(), avg(), min(), max())
- Arithmetic Functions (ceil(), round(), mod(), floor(), power(), etc)
- String Functions (concat(), length(), trim(), substring(), instr(), replace(), etc)
- Date Functions (now(), curdate(), curtime(), date(), month(), day(), year(), etc)
- Grouping Results (Group By), Placing Conditions on Groups, (Having Clause)

Correlated Query in MySQL, Nested Queries in MySQL
Joins (Multi-table joins, Equi join, Cartesian join, Left & right join)
Indexes in mysql
- Primary Index, Unique Index, Single Column Index, Composite Index
Exporting and Importing Data in MySQL
Database Access control using Grant & Revoke
Windows Functions in MySQL
- Rownumber(), Rank(), NTILE(), Lead(), Lag(), Last_value() etc.

VBA Macro Programming for Automation (with AI)

Understanding what VBA (Visual Basic for Applications)

Role of VBA in automating tasks in Microsoft Office

Basic VBA Concepts:

Variables, data types, and constants in

Control structures

if statements, loops and logical operators

Object-Oriented Concepts in VBA

Understanding Objects, Properties, Methods, Events
Working with Workbook, Worksheet, Range Objects deeply
Custom Class Modules, Creating your own objects using Class Modules

Working with Excel:

Automating data entry, manipulation, and analysis in Excel using VBA
Creating, deleting, and formatting worksheets and
Using Excel functions and formulas within VBA
User Forms and Dialog Boxes
Creating custom user interfaces to Getting input using UserForms

Event-Driven Programming

Workbook Events, Worksheet Events, Application Events
Auto-run macros (Workbook_Open, Worksheet_Change )

Advanced File & Folder Automation

Looping through folders, Bulk file processing
Renaming, copying, deleting files via VBA

Error Handling:

Using “On Error” statements, “Resume” statements & other error-handling

File Handling:

Opening, saving, and closing workbooks using
Importing and exporting data from/to external files (CSV, text files).

Advanced Data Manipulation:

Sorting and filtering data
Advanced data transformation and analysis using
Working with Charts and Graphs

Real-World Automation Projects

Invoice Automation System
Payroll /Salary Slip Generator
Data Cleaning Tool
Automated MIS reporting tool

Python Programming Foundation (Logic Building)

Importance of Python, Application areas of Python
Python Installation, Python Implementations

(Cpython, JPython, PyPy, IronPython)
Python Basics & Syntax, Data Types & Operators
Conditional Statements
- if-else, if-elif-else, Nested if-else
Loops & Conditional Statements
- While and For
- Nesting of Loops
Control Statements
- Break, Continue and Pass
Working with Strings (String Operations, Functions and Methods)
Working with List (List Operations, Functions and Methods, Set Operations)
Sorting and searching operations in Python
Tuples and Dictionaries in Python
Functions in Python
- Function v/s Method, Local and Global variables
- Positional arguments , Default arguments , Non default arguments
- Function returning values, Nested Functions, Function as argument

Python Libraries (creating your own Libraries)
- Python standard libraries, Importing module
- Math module, Turtle Graphics, Random module
- Creating a Python Library/package(s), Importing Python Libraries
File Handing
- File Handing
- Exporting and Importing Data to/from files (Working with CSV files)
OOP Concepts in Python
- Class and Objects, Inheritance, Encapsulation, Abstraction
Exception handling in Python
- Difference Between Syntax Errors and Exceptions
- Keywords used in Exception Handling (try , except , finally , raise , assert)
- Types of Except Blocks, User-defined Exceptions
Regular Expressions
- Functions /Methods related to regex, Meta Characters & Special Sequences

Data Analytics/ Data Visualization Using Python

Why python for data analysis?
Essential Python Libraries, Installation on and setup
Ipython, Jupyter Notebook

Python Arrays (NumPy)

Array Attributes, Mathematical Functions, Indexing and slicing
Array reshaping, Stacking and splitting arrays, Random Module
Performance & Vectorization

Python Pandas

Pandas Series, Pandas Dataframes (2-Dimensional)
Data aggregation with pandas, Data Indexing and selection
Operation on Data in Pandas, loc and iloc map
apply,apply_map, group_by, Querying data in pandas, Dealing with dates
Reading and Writing to CSV fi les with pandas
Reading and Writing to SQL with pandas
Reading and Writing to HTML files with panda

Python Matplotlib

Types of plot (Line Plot, Bar Plot, Histogram, Pie Chart, Area Plot
Customizing and Formatting, Multiple Plots & Layout, Saving
Working with Data (NumPy Arrays, Panda Series)

Python Seaborn

Types of plot (Line Plot, Bar Plot, Histogram, Pie Chart, Area Plot
Customizing and Formatting, Multiple Plots & Layout, Saving
Working with Data (NumPy Arrays, Panda Series)

Plotly – Python Plotting

Introduction to Plotly – Python Plotting, Plotly

Geographical Plotting

Introduction to Geographical plotting, Choropleth Maps

Database Connectivity in Python (with MySQL)

MySQL Operations, Database Connection
Creating New Database, Creating Tables, Inserting Records in Table
Fetching Records from Database Using Python
Read Operation using Select, Where,
OrderBy etc, Update Operations
Join Operations, Performing Transactions

Overview of Statics

Data types and their measures
Arithmetic Mean, Harmonic Mean, Geometric Mean
Meadian, Mode, Variance, Standard Deviation
Quartile: First quartile, Second quartile, Third quartile, IQR

Probability Distribution

Introduction of probability, Conditional probability
Normal distribution, Uniform distribution , Frequency distribution, Central limit theorem

Power Bi (Data Visulalization & Dashboards) with AI

Introduction to Power BI, Uses Of Power Bi, The Flow Of Work In Power Bi,

Working With Power Bi, Basic Components Of Power Bi

Comparison Of Power Bi Version, Data Model And Importance Of Data Modeling

Data Sources: How to connect and import data from different sources (Excel etc)

Power BI Desktop and Data Transformation

- Data Sources in Power BI Desktop, Loading Data in Power BI Desktop
- Views in Power BI Desktop, Query Editor In Power BI
- Transform, Clean, Shape, and Model Data
- Manage Data Relationship, Editing a Relationship
- Cross Filter Direction, Saving Workfile, Measures

Data Analysis Expression (DAX)

Introduction and Importance to DAX, Data Types in DAX
DAX Calculation Types, Steps to Create Calculated Columns
Measures in DAX, DAX Syntax, DAX Functions, DAX Operators, DAX Tables and Filtering

Data Visualization

Introduction to Visuals In Power BI, Visualization Charts in Power BI
Matrixes and Tables, Slicers and Map Visualizations
Gauges and Single Number Cards, Modifying Colors in Charts And Visuals
Shapes, Text Boxes, and Images, Custom Visuals
Page Layout and Formatting, Bookmarks and Selection Pane
KPI Visuals, Z-order, Grouping and Binding

Power BI Service

Introduction to Power BI Service, , Bookmarks and buttons
Creating a Dashboard, Configuring a Dashboard, Quick Insights in Power BI
Power BI Q&A, Ask Questions about your Data, Power BI Embedded
Creating Reports and Dashboards: Building reports by combining visualizations into a cohesive layout and creating interactive dashboards for data exploration (AI for PowerBi)

Tableau for Data Visualization

What is Tableau?
Tableau Products (Desktop, Public, Prep, Online, Server)
Installation & Workspace Overview, – Data Types in Tableau
Connecting to Different Data Sources (Excel, CSV, SQL, Web, etc.)

Working With Data

Data Connection Types (Live vs Extract)
Joins (Inner, Left, Right, Full), Using Data Interpreter
Data Blending, – Union, Relationships, – Understanding Metadata & Data Pane

Basic Visualizations

Bar Chart, Line Chart , Pie Chart, Area Chart
Crosstab & Highlight Table, Text Table, Stacked Bars, TreeMaps, Heat Maps

Intermediate Visualizations

Dual Axis Charts, Histograms, Box Plots, Scatter Plots, Waterfall Chart
Bullet Graph, Pareto Chart, Maps (Filled Map, Symbol Map)

Calculations in Tableau

Basic Calculations, String Calculations, Number & Date Calculations
Logical Functions, Table Calculations (Rank, Running Total, YTD )
LOD Expressions (FIXED, INCLUDE, EXCLUDE), Parameter Creation & Use

Filters & Sorting

Dimension vs Measure Filters, Context Filters,
Top/Bottom Filters, Date Filters, Sorting & Grouping, Sets (Static & Dynamic)

Tableau Mapping

Geographic Data Types, Custom Geocoding, Creating Map Layers
Density Maps, Path Maps, Spatial Files & Shapefiles

Dashboards & Storytelling

Dashboard Layout, Actions (Filter, Highlight, URL)
Device Designer, Story Point Creation
Dashboard Formatting, Performance Optimization Tips

Tableau Prep (Optional)

Cleaning Data, Splits, Pivots & Aggregations
Joins & Union in Prep, Output to Tableau Desktop

Publishing & Sharing

Publishing to Tableau Server / Tableau Online, Permissions & Authentication
Data Extract Refreshes, Dashboard Embedding (Web / Shareable Link)

Capstone Projects

Sales Dashboard, HR Analytics Dashboard, Financial KPI Dashboard
Supply Chain Dashboard, Real-Time Data Dashboard (using API)

ChatGPT & AI Tools (Applied AI)

Introduction to ChatGPT

What is ChatGPT and how it works, Versions and features (Free vs Plus)
Applications in education, business, and daily life

Prompt Engineering Basics

What is a prompt, How to write effective prompts, Examples: short & detailed prompts

Content Creation Using ChatGPT

Writing blogs, essays, and captions, Summarizing and rewriting content
Writing Professional E-mails, Creating Professional Resume
Generating ideas and creative writing

ChatGPT for Office Productivity

Using ChatGPT with Excel formulas and analysis
Drafting letters and reports in Word, Creating PowerPoint slides and scripts with AI

ChatGPT in Business & Freelancing

Creating marketing content and product descriptions
Writing emails and proposals, Using ChatGPT for research and data insights

Automation Tools

Overview of Zapier, Notion, and Google Workspace integration
Creating smart workflows using AI

Ethics & Responsible AI Use

Understanding AI limits, Avoiding plagiarism and misinformation, Safe and ethical AI practices

Projects & Assessments

Real-world ChatGPT tasks (Excel + Content + Automation)
Mini project submission and feedback, Creating Professional Resume, Applications using AI

AI Image Generation

Creating AI-generated images using effective and well-structured prompts

Bonus: Working with Other AI tools like Goolge Gemini, Meta AI, Perplexity etc

Why Choose This Course

This Data Analytics with AI course is designed to provide in-demand, industry-ready skills through a practical and project-based learning approach. From Advanced Excel and SQL to Python, Power BI, Tableau, and AI tools like ChatGPT, students gain hands-on experience across the complete data analytics ecosystem.

Frequently Asked Questions

This course is suitable for students, graduates, and working professionals from any background including commerce, IT, management, and engineering.

You will work on real-world projects like sales dashboards, financial analysis, HR analytics, automation tools, and AI-based applications.

The course duration is 5 months (full-time) or 10 months (part-time), depending on your schedule.

You can enroll by contacting us via phone, website, or by visiting our institute.

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