Why Choose Croma Campus for Data Analytics Training in Delhi?

Croma campus is one of the best institutes for the training of IT professional jobs. It is one of the most prestigious and certified organizations that has been associated with the top most MNCs. Croma Campus is really famous for its innovative and technical teaching methods. So, if you want to get linked with Data Analytics then do a Collab with Croma Campus.

How Data Analytics Course in Delhi Help to Get a Good Job?

Data Analytics is a process of examining datasets to know about the information they contain. There are a lot of works and jobs under Data Analytics. The first thing you need to do is to always keep your profile updated on LinkedIn because they are directly associated with Data Analytics. So, if you get a Data Analytics certificate you can work as Data Analyst.

How to Do Certification in Data Analytics?

Data Analytics is nowadays becoming a very important certification that can lead you to get a good job. To get any Data Analyst job you need to get a certification in Data Analytics. There is a list of things after which you can get a certificate that contains in-depth training, many simultaneous exams, live demos, and other industrial projects that can make you a perfect Data Analyst. After all this training, you can get a Data Analytics certification.

What Kind of Projects Are Included in Data Analytic Training?

Croma Campus India program sizes a powerful training tool that can be applied in classrooms as well as in manufacturing. We offer a wide range of agendas for Live Project Data Analytics Training in Delhi under the leadership of the best industrial experts. We are always awarded for the past 10 years as the Best Data Analytics Training Institute in Delhi.

How to Contact for Data Analytic Course?

The ways to connect Croma Campus Phone Number: - +91-120-4155255, +91-9711526942 Email: - info@cromacampus.com Address: - G-21, Sector-03, Noida (201301)

Data Analytics Course in Delhi with 100% Placement Support ✅

Name: Data Analytics Training Program
Item: Data Analytics Training Program
Rating: 4.90

Home /Data Analytics & BI/ Data Analytics Course Training in Delhi

Learn how to extract data for analysis. Join now and learn under an expert data analyst.

4.9 out of 5 based on 15478 votes

4.2/5

4.8/5

4.6/5

4.3/5

4.5/5

In collaboration with

100 Hrs.

Duration

Online/Offline

Format

LMS

Life Time Access

Book A Free Counselling Session

we train you to get hired.

Request more information_

ABOUT CURRICULUM REAL STORIES PROJECTS COURSE FEE SELF-ASSESSMENT ACTIVITIES PLACEMENTS practice tests ENROLL NOW

Data has proven to be one of the key drivers of businesses to make data-driven decisions with the progressing time. A data analyst is an individual who collects, organizes, and examines data to find trends or patterns so as to fix a problem or streamline a process. If you want to design a successful career as a data professional, the Data Analytics Course in Delhi will equip you with the necessary skills. Data Analysis Course in Delhi is all about learning the process of collecting, analyzing, and graphing data with standard tools and procedures. With more demand for data analysts emerging, this training will render you job-ready for careers where you are transforming raw data into precious insights.

The primary task of a data analyst is to work on data in order to allow organizations to get to know their markets, operations, or customers better. They refine and arrange data in order to get it in the correct and precise form, process it through statistical processes, and represent findings as charts, graphs, or dashboards.

Understand real-world applications of data analytics.

Interpret and communicate data insights properly.

Solve business issues using analytics.

Use data-driven decision-making.

Learn to organize, clean, and analyze data professionally.

Data Analytics Course in Delhi is done to get you to work on real data projects by training you in every facet of analytics that you must learn. It starts to acquaint you with the basics of statistics and data science. Next, it educates you on practical tools like Excel and SQL in data handling and querying data. You will code in Python or R to visualize and report results using visualization tools. The goal is to have you with the ability to work with difficult datasets and provide output that informs business choices.

Master Excel data manipulation.

Know SQL for maximum data extraction.

Code in Python or R to run complex analysis.

Create data visualization that beautifully communicates findings.

Be introduced to machine learning basics for predictive analytics.

Practice using real company data sets to have a hands-on learning experience.

Get ready to work in data analytics jobs.

Top Skills You Master in This Course
You will gain analytical and technical skills that employers require. You will be taught to prepare and clean data, work with databases, write SQL code, and conduct data set analysis using Python or R. You will learn how to make good visualizations using Tableau or Power BI. You also learn statistical analysis methods, machine learning basics, and how to use the above for predicting trends. All these combined will make you a strong data analyst.

Data preprocessing and data cleaning methods.

SQL queries to extract effective data.

Statistical training to analyze datasets.

Automation using programming and higher-level analysis.

Interactive dashboard and report building.

Forecasting using basic machine learning models.

Communication and collaboration skills for a business setting.

Data Analyst Training in Delhi covers all the tools it takes to be a successful data analyst. You will start with Microsoft Excel for simple data calculations, then SQL for querying the database. Python or R will be taught for advanced analysis, and libraries such as Pandas and NumPy. For visualization purposes, you will use Tableau and Power BI to make dashboards. Big data and cloud platform brief will also be discussed to prepare for big size data projects.

Excel for data input, formula, and pivot tables.

SQL for database data manipulation.

Python/R for programming and data analysis.

Tableau and Power BI for visualization.

Brief on big data concepts.

Overview of cloud platforms for processing and storing data.

Applications of libraries that are unique to data science.

This Data Analysis Course in Delhi is perfect for all those enthusiastic about analytics and data. It is perfect for data freshers who are looking to enter the data field, working professionals wanting to upskill, or career shift towards analytics. No higher math or coding is needed as the course starts from the beginning and has structured learning. Even from non-professional backgrounds, people can be proficient in data analysis if they are regular and under the guidance of instructors.

Fresh graduates wishing to pursue data careers.

Career professionals wishing to upskill.

Career transitioners transitioning into data analysis.

Business staff wishing to make sense of data.

Commerce, science, or arts students.

Individuals who have a passion for data and technology.

Individuals who desire to gain programming and statistics basics.

Learning data analytics enables vast opportunities. As businesses collect massive amounts of data, they need individuals who can properly study the data. Data Analytics Course Online provides you with applied skills to apply on numerous projects, ranging from market analysis and customer behavior analysis to operations optimization and financial forecasting.

Enhance career prospects across different disciplines.

Develop analytical capabilities useful in everyday business problems.

Master data-driven decision-making.

Enhance self-confidence in presenting challenging data graphically.

Prepare for certification and better job interviews.

Master industry software and technology.

Enhance career development and career progression.

After completing the Data Analytics Training in Delhi, there are a number of roles you can perform that involve data analysis and reporting. Hiring managers at e-commerce, finance, healthcare, telecommunication, and startup firms look for data-intensive professionals.

Entry-level professional job roles: Reporting Analyst, Data Analyst.

Mid-level professional job roles: Business Intelligence Analyst, Data Scientist.

Risk analysis, sales forecasting, marketing analytics specialty fields.

Jobs in banking, health, retail, IT sectors.

Opportunity to work as analytics managers or team leaders.

Contract and freelance project assignments are also available.

International employment opportunities in data intensive business.

The Data Analysis course in Delhi is divided into different learning modules with step by step progressive complexity. Early modules are more about mastering fundamentals of data, Excel, and SQL. After you've mastered these basics, then you move to programming with Python or R and mastering the art of interpreting data.

Basics of Data and Statistics.

Microsoft Excel for general and intermediate purposes.

SQL querying and database administration.

Python or R programming basics.

Data visualization using Tableau/Power BI.

Introduction to machine learning and big data.

Final project with end-to-end data analysis.

Certifications and Preparation
All Data Analyst Training in Delhi courses make you expert enough in highly demanded certifications like Microsoft Certified: Data Analyst Associate or Google Data Analytics Professional Certificate. These certifications demonstrate your skills to top employers globally. Data Analytics Training in Delhi helps you with mock tests, practice assignments, and exam tips for your success. Certification boosts your CV and can lead to better job opportunities and better salary.
Freshers Salary Expectations
Fresher's who complete Data Analyst Course in Delhi are expected to start their career with the average salary range of 3 to 6 lakhs annually. Salary is certificate, experience, and skill-based. With experience and next-generation skill sets, data analysts can earn 7 to 15 lakhs or even more. The steady increase in data jobs in Delhi provides good opportunities for graduates to boost their income as well as profession. Freelance and advisory professionals with data skills have alternative sources of income. Initial salary range: 3-6 lakhs/year.

High-level analysts earn 7 to 15+ lakhs.

Off-campus part-time job for additional income.

Salaries enhance with experience and certifications on projects.

High performer bonuses and promotions.

Demand in the industry continues to grow.

Placement facilities by training institutes.

Delhi has some of the top data analytics training institutes that provide professional training, current curriculum, and career-focused teaching. Most of the Data Analyst Course in Delhi provide offline and online batches as per your choice and style of learning. You get to learn with real data sets and use commonly used analytics tools. Trainers with real industry knowledge.

Latest and comprehensive curriculum.

Convenient timings with online classes.

Hands-on experience with real data.

Welcome letter and interview assistance.

Welcome letter and placement assistance.

Delhi business and alumni community.

You May Also Read:

Data Analytics Course in Gurgaon

Data Analytics Course In Bangalore

Data Analytics Course in Kolkata

Data Analytics Course In Pune

Data Analytics Course In Mumbai

Data Analytics Course in Noida

Data Analyst Course in Chandigarh

Data Analyst Course in Lucknow

Data Analysis Course in Ahmedabad

Data Analysis Course In Hyderabad

Data Analytics Course In Jaipur

Why should you learn Data Analytics?

The outburst of data transforming the businesses.

Helping out businesses to adapt to the new trends.

Data scientists have a tremendous impact on businesses.

It aims to capture out with the development technology.

Opens out the door for various opportunities in corporate.

Not just learning

we train you to get hired.

Request more information

By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy

CURRICULUM & PROJECTS

Data Analytics Training Program

Introduction

What is Data Analytic

Common Terms in Data Analytics

What is data

Classication of data

Relevance in industry and need of the hour

Types of problems and business objectives in various industries

How leading companies are harnessing the power of analytics

Critical success drivers.

Overview of Data Analytics tools & their popularity.

Data Analytics Methodology & problem-solving framework.

Get full course syllabus in your inbox

Understanding Concepts of Excel

Creation of Excel Sheet Data

Range Name, Format Painter

Conditional Formatting, Wrap Text, Merge & Centre

Sort, Filter, Advance Filter

Different type of Chart Creations

Auditing, (Trace Precedents, Trace Dependents)Print Area

Data Validations, Consolidate, Subtotal

What if Analysis (Data Table, Goal Seek, Scenario)

Solver, Freeze Panes

Various Simple Functions in Excel(Sum, Average, Max, Min)

Real Life Assignment work

Ms Excel Advance

Advance Data Sorting

Multi-level sorting

Restoring data to original order after performing sorting

Sort by icons

Sort by colours

Lookup Functions

Subtotal, Multi-Level Subtotal

Grouping Features

Consolidation With Several Worksheets

Filter

Printing of Raw & Column Heading on Each Page

Workbook Protection and Worksheet Protection

Specified Range Protection in Worksheet

Excel Data Analysis

Data Table

Pivot Table

Generating MIS Report In Excel

Text Functions

Lookup & Reference Function

Logical Functions & Date and Time Functions

Database Functions

Statistical Functions

Financial Functions

Functions for Calculation Depreciation

Get full course syllabus in your inbox

SQL Server Fundamentals

SQL Server 2019 Installation

Service Accounts & Use, Authentication Modes & Usage, Instance Congurations

SQL Server Features & Purpose

Using Management Studio (SSMS)

Conguration Tools & SQLCMD

Conventions & Collation

SQL Server 2019 Database Design

SQL Database Architecture

Database Creation using GUI

Database Creation using T-SQL scripts

DB Design using Files and File Groups

File locations and Size parameters

Database Structure modications

SQL Tables in MS SQL Server

SQL Server Database Tables

Table creation using T-SQL Scripts

Naming Conventions for Columns

Single Row and Multi-Row Inserts

Table Aliases

Column Aliases & Usage

Table creation using Schemas

Basic INSERT

UPDATE

DELETE

SELECT queries and Schemas

Use of WHERE, IN and BETWEEN

Variants of SELECT statement

ORDER BY

GROUPING

HAVING

ROWCOUNT and CUBE Functions

Data Validation and Constraints

Table creation using Constraints

NULL and IDENTITY properties

UNIQUE KEY Constraint and NOT NULL

PRIMARY KEY Constraint & Usage

CHECK and DEFAULT Constraints

Naming Composite Primary Keys

Disabling Constraints & Other Options

Views and Row Data Security

Benets of Views in SQL Database

Views on Tables and Views

SCHEMA BINDING and ENCRYPTION

Issues with Views and ALTER TABLE

Common System Views and Metadata

Common Dynamic Management views

Working with JOINS inside views

Indexes and Query tuning

Need for Indexes & Usage

Indexing Table & View Columns

Index SCAN and SEEK

INCLUDED Indexes & Usage

Materializing Views (storage level)

Composite Indexed Columns & Keys

Indexes and Table Constraints

Primary Keys & Non-Clustered Indexes

Stored Procedures and Benets

Why to use Stored Procedures

Types of Stored Procedures

Use of Variables and parameters

SCHEMABINDING and ENCRYPTION

INPUT and OUTPUT parameters

System level Stored Procedures

Dynamic SQL and parameterization

System functions and Usage

Scalar Valued Functions

Types of Table Valued Functions

SCHEMABINDING and ENCRYPTION

System Functions and usage

Date Functions

Time Functions

String and Operational Functions

ROW_COUNT

GROUPING Functions

Triggers, cursors, memory limitations

Why to use Triggers

DML Triggers and Performance impact

INSERTED and DELETED memory tables

Data Audit operations & Sampling

Database Triggers and Server Triggers

Bulk Operations with Triggers

Cursors and Memory Limitations

Cursor declaration and Life cycle

STATIC

DYNAMIC

SCROLL Cursors

FORWARD_ONLY and LOCAL Cursors

KEYSET Cursors with Complex SPs

Transactions Management

ACID Properties and Scope

EXPLICIT Transaction types

IMPLICIT Transactions and options

AUTOCOMMIT Transaction and usage

Get full course syllabus in your inbox

Introduction to Power BI

Overview of BI concepts

Why we need BI

Introduction to SSBI

SSBI Tools

Why Power BI

What is Power BI

Building Blocks of Power BI

Getting started with Power BI Desktop

Get Power BI Tools

Introduction to Tools and Terminology

Dashboard in Minutes

Interacting with your Dashboards

Sharing Dashboards and Reports

Power BI Desktop

Power BI Desktop

Extracting data from various sources

Workspaces in Power BI

Power BI Data Transformation

Data Transformation

Query Editor

Connecting Power BI Desktop to our Data Sources

Editing Rows

Understanding Append Queries

Editing Columns

Replacing Values

Formatting Data

Pivoting and Unpivoting Columns

Splitting Columns

Creating a New Group for our Queries

Introducing the Star Schema

Duplicating and Referencing Queries

Creating the Dimension Tables

Entering Data Manually

Merging Queries

Finishing the Dimension Table

Introducing the another DimensionTable

Creating an Index Column

Duplicating Columns and Extracting Information

Creating Conditional Columns

Creating the FACT Table

Performing Basic Mathematical Operations

Improving Performance and Loading Data into the Data Model

Modelling with Power BI

Introduction to Modelling

Modelling Data

Manage Data Relationship

Optimize Data Models

Cardinality and Cross Filtering

Default Summarization & Sort by

Creating Calculated Columns

Creating Measures & Quick Measures

Data Analysis Expressions (DAX)

What is DAX

Data Types in DAX

Calculation Types

Syntax, Functions, Context Options

DAX Functions

Measures in DAX

Measures and Calculated Columns

ROW Context and Filter Context in DAX

Operators in DAX - Real-time Usage

Quick Measures in DAX - Auto validations

In-Memory Processing DAX Performance

Power BI Desktop Visualisations

How to use Visual in Power BI

What Are Custom Visuals

Creating Visualisations and Colour Formatting

Setting Sort Order

Scatter & Bubble Charts & Play Axis

Tooltips and Slicers, Timeline Slicers & Sync Slicers

Cross Filtering and Highlighting

Visual, Page and Report Level Filters

Drill Down/Up

Hierarchies and Reference/Constant Lines

Tables, Matrices & Conditional Formatting

KPI's, Cards & Gauges

Map Visualizations

Custom Visuals

Managing and Arranging

Drill through and Custom Report Themes

Grouping and Binning and Selection Pane, Bookmarks & Buttons

Data Binding and Power BI Report Server

Introduction to Power BI Dashboard and Data Insights

Why Dashboard and Dashboard vs Reports

Creating Dashboards

Conguring a Dashboard Dashboard Tiles, Pinning Tiles

Power BI Q&A

Quick Insights in Power BI

Direct Connectivity

Custom Data Gateways

Exploring live connections to data with Power BI

Connecting directly to SQL Server

Connectivity with CSV & Text Files

Excel with Power BI Connect Excel to Power BI, Power BI Publisher for Excel

Content packs

Update content packs

Publishing and Sharing

Introduction and Sharing Options Overview

Publish from Power BI Desktop and Publish to Web

Share Dashboard with Power BI Service

Workspaces (Power BI Pro) and Content Packs (Power BI Pro)

Print or Save as PDF and Row Level Security (Power BI Pro)

Export Data from a Visualization

Export to PowerPoint and Sharing Options Summary

Refreshing Datasets

Understanding Data Refresh

Personal Gateway (Power BI Pro and 64-bit Windows)

Replacing a Dataset and Troubleshooting Refreshing

Get full course syllabus in your inbox

Introduction To Python

Installation and Working with Python

Understanding Python variables

Python basic Operators

Understanding the Python blocks.

Python Keyword and Identiers

Python Comments, Multiline Comments.

Python Indentation

Understating the concepts of Operators

Introduction To Variables

Variables, expression condition and function

Global and Local Variables in Python

Packing and Unpacking Arguments

Type Casting in Python

Byte objects vs. string in Python

Variable Scope

Python Data Type

Declaring and using Numeric data types

Using string data type and string operations

Understanding Non-numeric data types

Understanding the concept of Casting and Boolean.

Strings

List

Tuples

Dictionary

Sets

Control Structure & Flow

Statements if, else, elif

How to use nested IF and Else in Python

Loops

Loops and Control Statements.

Jumping Statements Break, Continue, pass

Looping techniques in Python

How to use Range function in Loop

Programs for printing Patterns in Python

How to use if and else with Loop

Use of Switch Function in Loop

Elegant way of Python Iteration

Generator in Python

How to use nested Loop in Python

Use If and Else in for and While Loop

Examples of Looping with Break and Continue Statement

How to use IN or NOT IN keyword in Python Loop.

Python Function, Modules and Packages

Python Syntax

Function Call

Return Statement

Arguments in a function Required, Default, Positional, Variable-length

Write an Empty Function in Python pass statement.

Lamda/ Anonymous Function

*args and **kwargs

Help function in Python

Scope and Life Time of Variable in Python Function

Nested Loop in Python Function

Recursive Function and Its Advantage and Disadvantage

Organizing python codes using functions

Organizing python projects into modules

Importing own module as well as external modules

Understanding Packages

Random functions in python

Programming using functions, modules & external packages

Map, Filter and Reduce function with Lambda Function

More example of Python Function

List

What is List.

List Creation

List Length

List Append

List Insert

List Remove

List Append & Extend using + and Keyword

List Delete

List related Keyword in Python

List Revers

List Sorting

List having Multiple Reference

String Split to create a List

List Indexing

List Slicing

List count and Looping

List Comprehension and Nested Comprehension

Tuple

What is Tuple

Tuple Creation

Accessing Elements in Tuple

Changing a Tuple

Tuple Deletion

Tuple Count

Tuple Index

Tuple Membership

TupleBuilt in Function (Length, Sort)

Dictionary

Dict Creation

Dict Access (Accessing Dict Values)

Dict Get Method

Dict Add or Modify Elements

Dict Copy

Dict From Keys.

Dict Items

Dict Keys (Updating, Removing and Iterating)

Dict Values

Dict Comprehension

Default Dictionaries

Ordered Dictionaries

Looping Dictionaries

Dict useful methods (Pop, Pop Item, Str , Update etc.)

Sets

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Frozen Sets

Strings

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Python Exception Handling

Python Errors and Built-in-Exceptions

Exception handing Try, Except and Finally

Catching Exceptions in Python

Catching Specic Exception in Python

Raising Exception

Try and Finally

Python File Handling

Opening a File

Python File Modes

Closing File

Writing to a File

Reading from a File

Renaming and Deleting Files in Python

Python Directory and File Management

List Directories and Files

Making New Directory

Changing Directory

Python Database Interaction

SQL Database connection using

Creating and searching tables

Reading and Storing cong information on database

Programming using database connections

Reading an excel

Working With Excel

Reading an excel le using Python

Writing to an excel sheet using Python

Python| Reading an excel le

Python | Writing an excel le

Adjusting Rows and Column using Python

ArithmeticOperation in Excel le.

Play with Workbook, Sheets and Cells in Excel using Python

Creating and Removing Sheets

Formatting the Excel File Data

More example of Python Function

Complete Understanding of OS Module of Python

Check Dirs. (exist or not)

How to split path and extension

How to get user prole detail

Get the path of Desktop, Documents, Downloads etc.

Handle the File System Organization using OS

How to get any les and folders details using OS

Get full course syllabus in your inbox

Data Analysis and Visualization using Pandas.

Statistics

Pandas

Data Analysis and Visualization using NumPy and MatPlotLib

NumPy

MatPlotLib

Introduction to Data Visualization with Seaborn

Introduction to Seaborn

Visualizing Two Quantitative Variables

Visualizing a Categorical and a Quantitative Variable

Customizing Seaborn Plots

Get full course syllabus in your inbox

Capstone Project

Get full course syllabus in your inbox

+ More Lessons

Course Design By

Nasscom & Wipro

Course Offered By

Croma Campus

Real

Stories

success

inspiration

Abhishek

Career Upgrade

Upasana Singh

Career Upgrade

Shashank

Career Upgrade

Abhishek Rawat

Career Upgrade

Course Duration

100 Hrs.

Know More...

Flexible Batches For You

01-Nov-2025*
Weekend
SAT - SUN
Mor | Aft | Eve - Slot

03-Nov-2025*
Weekday
MON - FRI
Mor | Aft | Eve - Slot

05-Nov-2025*
Weekday
MON - FRI
Mor | Aft | Eve - Slot

01-Nov-2025*
Weekend

SAT - SUN

Mor | Aft | Eve - Slot

03-Nov-2025*
Weekday

MON - FRI

Mor | Aft | Eve - Slot

05-Nov-2025*
Weekday

MON - FRI

Mor | Aft | Eve - Slot

Course Price :

For Indian

33,333 30,000 10 % OFF, Save 3333

Expires in: 00D:00H:00M:00S

Program fees are indicative only* Know more

SELF ASSESSMENT

Learn, Grow & Test your skill with Online Assessment Exam to
achieve your Certification Goals

Get exclusive
access to career resources
upon completion

Mock Session

You will get certificate after
completion of program

LMS Learning

You will get certificate after
completion of program

Career Support

You will get certificate after
completion of program

Showcase your Course Completion Certificate to Recruiters

Training Certificate is Govern By 12 Global Associations.
Training Certificate is Powered by “Wipro DICE ID”
Training Certificate is Powered by "Verifiable Skill Credentials"

in Collaboration with

Not Just Studying

We’re Doing Much More!

Empowering Learning Through Real Experiences and Innovation

Career Transition

Career Gap

Placement Activities

Placement Drives

Latest Hiring

Whats App Reviews

Mock Interviews

Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.

How Croma Campus Mock Interview Works? graph_new