Data Analyst Course in Pitampura
Data Analytics With AI Program (Professional Program)
Looking for the best Data Analytics Course in Pitampura? NICE IT Services is located just minutes from Pitampura Metro Station, making it easily accessible for students across Pitampura Delhi —. Our Data Analyst course combines Excel, SQL, Python, Power BI, and Tableau training with real business projects, so you graduate job-ready, not just certificate-ready.
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.
What You Will Learn in Our Data Analytics Course in Pitampura
Our comprehensive curriculum covers everything needed to become a professional Data Analyst.
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
Build Your Career with the Best Data Analytics Institute in Pitampura
Data Analytics has become one of the fastest-growing career fields worldwide. Every industry—including healthcare, banking, retail, IT, manufacturing, e-commerce, logistics, and finance—requires professionals who can analyze data and generate meaningful insights.
At NICE IT Services, our Data Analytics Institute in Pitampura focuses on practical learning rather than theoretical concepts. Students learn how to collect, clean, analyze, visualize, and present business data using industry-standard tools.
Why Choose Data Analytics as a Career?
Data Analytics has become one of the fastest-growing career fields in today’s digital economy. Organizations generate massive amounts of data every day, and they need skilled professionals who can analyze that data, identify trends, and help businesses make informed decisions. Whether it’s improving customer experiences, increasing sales, reducing operational costs, or predicting future market trends, data analysts play a crucial role in business success.
By enrolling in a Data Analytics Course in Pitampura, you gain practical skills that are highly valued across industries. From multinational corporations and startups to government organizations and consulting firms, employers are actively hiring professionals who can transform raw data into meaningful insights.
Some of the biggest advantages of choosing Data Analytics as a career include:
- High demand across multiple industries
- Attractive salary packages
- Strong career growth
- Opportunities in India and abroad
- Ability to work on real business problems
- Continuous learning and advancement
Who Should Join This Course?
Our Data Analytics Classes in Pitampura are designed to accommodate learners from different educational and professional backgrounds. Whether you are starting your career or looking to upgrade your existing skills, this course provides practical training that prepares you for real-world industry requirements.
This course is ideal for:
- College Students
- Fresh Graduates
- Working Professionals
- IT Professionals
- Business Owners
- Marketing Professionals
- Finance Professionals
- Engineers
- Anyone interested in data-driven decision making
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.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.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.
Course Highlights
- Complete Data Analytics + AI Program (Beginner to Professional)
- Covers Excel, SQL, Python, Power BI & Tableau
- Learn Automation using VBA & AI Tools
- Conveniently located near Pitampura Metro Station — easy commute from across Delhi
- Small batch sizes for hands-on, personalized training
- Real-world projects using live business data, not just textbook exercises
- Certified trainers with industry experience in data analytics and AI tools
- Placement assistance for students completing the Data Analyst course in Pitampura
- Flexible batch timings — weekday and weekend options for working professionals
Career Opportunities After Completing the Course
Completing our Data Analytics Course in Pitampura equips you with practical skills that are highly valued by employers across various industries. As businesses increasingly rely on data to make informed decisions, the demand for qualified data analytics professionals continues to grow. From startups and multinational corporations to government organizations and consulting firms, companies are actively hiring professionals who can collect, analyze, and visualize data to improve business performance.
At NICE IT Services, our industry-oriented training, live projects, and placement assistance help students become job-ready for a wide range of analytics roles. By mastering tools like Advanced Excel, SQL, Python, Power BI, Tableau, and Google Sheets, you can confidently apply for entry-level as well as mid-level analytics positions.
Data Analyst
A Data Analyst collects, organizes, and interprets large volumes of data to help businesses make strategic decisions. In this role, you'll prepare reports, identify trends, create dashboards, and provide actionable insights that improve business performance. Data Analysts are in demand across industries such as IT, healthcare, banking, retail, e-commerce, and manufacturing.
Business Analyst
Business Analysts bridge the gap between business needs and technology solutions. They analyze business processes, identify opportunities for improvement, and recommend data-driven strategies that enhance efficiency and profitability. This role is ideal for professionals who enjoy solving business challenges using analytical thinking.
MIS Executive
MIS (Management Information System) Executives are responsible for managing business data, generating reports, maintaining databases, and creating dashboards for management teams. They work extensively with Excel, SQL, and reporting tools to support daily business operations.
Reporting Analyst
Reporting Analysts specialize in collecting and presenting business data in a clear and meaningful format. They prepare daily, weekly, and monthly performance reports, monitor key performance indicators (KPIs), and assist management in making informed business decisions.
Power BI Developer
Power BI Developers design interactive dashboards, automate reports, and create business intelligence solutions using Microsoft Power BI. As organizations increasingly adopt Business Intelligence platforms, professionals with Power BI expertise are highly sought after.
Tableau Developer
Tableau Developers transform complex datasets into visually appealing dashboards and reports. They help businesses understand data trends through interactive visualizations, enabling faster and more effective decision-making.
Data Visualization Specialist
A Data Visualization Specialist focuses on presenting complex information in an easy-to-understand graphical format. Using tools like Power BI and Tableau, they create charts, dashboards, scorecards, and visual reports that enable stakeholders to quickly interpret business data.
Analytics Consultant
Analytics Consultants work with organizations to improve business performance through data-driven strategies. They analyze business challenges, recommend solutions, build dashboards, and help companies make smarter decisions using analytics tools and technologies.
Junior Data Scientist
After gaining experience in Data Analytics, many professionals move into Data Science roles. A Junior Data Scientist works with advanced analytical techniques, predictive models, and machine learning algorithms to solve complex business problems. The strong analytical foundation provided by our course makes this an excellent long-term career path.
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.
Enroll in the Best Data Analytics Institute in Pitampura Today
If you are ready to build a rewarding career in data analytics, NICE IT Services is here to help you achieve your goals. Our practical training approach, experienced faculty, industry-relevant curriculum, and placement support make us a trusted destination for students looking for the Best Data Analytics Institute in Pitampura.
Whether you are a student planning your first career, a professional seeking career growth, or someone looking to switch industries, our Data Analytics Training in Pitampura equips you with the knowledge and confidence needed to succeed.
Take the next step toward a future filled with opportunities. Contact NICE IT Services today to schedule a free counseling session, explore batch timings, and enroll in our Data Analytics Course in Pitampura. Your journey toward becoming a skilled data analyst starts here.
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