Associate in Data Analytics

Master's Program 4.9 out of 5 rating votes 15632

Associate the fundamentals of Data Analytics and learn how to use it for retrieval of business insights.

INR 25000

Excluding GST

100% Placement
Ranked#2 among Top Full-Time

Associate in Data Analytics in India- 2010-2024

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Start Date : 27th May 2024Duration : 3 Months
Format : Live Online /Self-Paced/Classroom
Future of Associate in Data Analytics

₹1.9 Lakhs to ₹ 7.9 Lakhs

Average salary for an Associate Data Analyst in India is 6.0 Lakhs per year (₹50.0k per month).


Job Opportunities

Associates in data analytics can explore various job opportunities like Data Analyst, Business Analyst, Research Analyst, Financial Analyst and Supply Chain Analyst.


Future Analytics

The future for associates in data analytics is bright with growing demand across all industries. Associates will play a critical role in shaping business strategy in the coming years.


Associate in Data Analytics

4.9 out of 5 rating vote 15632

Associate the fundamentals of Data Analytics and learn how to use it for retrieval of business insights..

INR 25000 + GST
100% Placement Assistance

Program Overview

The Associate Data Analytics course provides basic skills in data cleaning, statistical analysis, and programming languages such as Python and SQL. This course empowers individuals to contribute effectively to organizational decision making, thereby opening up various career opportunities in the dynamic field of data analytics. After going through this course, you can get a job as a:

  • Junior Data Analyst
  • Junior Data Scientist
  • Finance Analyst
  • Business Intelligence Analyst
  • Data Engineer

Embarking on an associate career in data analytics opens the door to a field where curiosity and analytical enhancement converge. As a Contributor, you are an integral part of data-driven decision making, helping to draw meaningful insights from complex data sets. This entry-level role includes tasks such as data cleaning, basic statistical analysis, and creating visualizations to effectively communicate results. Data analyst associates often work closely with more experienced professionals, learning the different tools and programming languages needed to manipulate and analyze data.

  • Web_IconExcel, and SQL become valuable companions for tackling the complexity of data sets. Additionally, associates regularly collaborate with cross-functional teams.
  • branThe Data Analyst Associate role provides an excellent foundation for career growth, offering opportunities to specialize in specific areas or advance to more senior positions.
  • polyAs organizations increasingly recognize the importance of data-driven insights, the need for highly skilled associates in this field continues to grow.
  • analyticsThis is a promising starting point for those who are passionate about uncovering hidden stories in data and want to meaningfully contribute to the decision-making process that drives organizational success.

The popularity of associate data analytics is increasing every day. This course will help you gain detailed knowledge of key data analytics technologies. Additionally, the main goal of the training program is to familiarize students with the benefits of using data analytics.

m IconWith project-based training and plenty of questions and exercises, you will gain the knowledge and skills needed to get appointed as an analyst in a reputable company.

 m IconAfter completing the Data Analytics training program, you can easily get hired in a reputed company with an attractive salary ranging from ₹3,00,000 to ₹12,00,000.

icon 3According to a survey, 2,720,000 job opportunities will be created in the field of data analytics in the coming years.

The goal of the Associate Data Analytics training course is to equip individuals with basic skills in data cleaning, statistical analysis, and programming languages. This training empowers associates to contribute effectively to organizational decision-making by transforming raw data into actionable insights, thereby accelerating their professional development.

  • What you’ll learn:
  • Data fundamentals
  • How to work with different data tools?
  • Importance of data analytics
  • Data analysis

The goal of the Associate Data Analytics training course is to impart basic skills in data processing, statistical analysis, and programming. This training aims to prepare individuals to contribute meaningfully to organizational decision-making, boosting their ability to derive actionable insights from data and navigate the changing landscape of data analytics.

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Tools Covered of Associate in Data Analytics

Power BI
data analytics

Associate in Data Analytics Curriculum

Course 1
Database : MS SQL and SQL Queries

Microsoft SQL Server is a relational database management system (RDBMS) that supports a wide variety of transaction processing, business intelligence and analytics applications in corporate IT environments. In order to experiment with data through the creation of test environments, data scientists make use of SQL as their standard tool, and to carry out data analytics with the data that is stored in relational databases like Oracle, Microsoft SQL, MySQL, we need SQL.


Course Content

    • 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
      • 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
      • INPUT and OUTPUT parameters
      • System level Stored Procedures
      • Dynamic SQL and parameterization
    • System functions and Usage
      • Scalar Valued Functions
      • Types of Table Valued Functions
      • 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
      • SAVEPOINT and Query Blocking
Course 2
Analytics with Excel

Excel is one of the most popular data analysis tool, to help visualize and gain insights from your data. Analytics with Excel helps you to boost your Microsoft Excel skills.


Course Content

    • 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
        • Lookup
        • VLookup
        • HLookup
      • Subtotal, Multi-Level Subtotal
      • Grouping Features
        • Column Wise
        • Row Wise
      • Consolidation With Several Worksheets
      • Filter
        • Auto Filter
        • Advance Filter
      • Printing of Raw & Column Heading on Each Page
      • Workbook Protection and Worksheet Protection
      • Specified Range Protection in Worksheet
      • Excel Data Analysis
        • Goal Seek
        • Scenario Manager
      • Data Table
        • Advance use of Data Tables in Excel
        • Reporting and Information Representation
      • Pivot Table
        • Pivot Chat
        • Slicer with Pivot Table & Chart
      • Generating MIS Report In Excel
        • Advance Functions of Excel
        • Math & Trig Functions
      • Text Functions
      • Lookup & Reference Function
      • Logical Functions & Date and Time Functions
      • Database Functions
      • Statistical Functions
      • Financial Functions
      • Functions for Calculation Depreciation
    • MIS Reporting & Dash Board
      • Dashboard Background
      • Dashboard Elements
      • Interactive Dashboards
      • Type of Reporting In India
        • Reporting Analyst
        • Indian Print Media Reporting
      • Audit Report
      • Accounting MIS Reports
      • HR Mis Reports
      • MIS Report Preparation Supplier, Exporter
      • Data Analysis
        • Costing Budgeting Mis Reporting
        • MIS Report For Manufacturing Company
        • MIS Reporting For Store And Billing
      • Product Performance Report
      • Member Performance Report
      • Customer-Wise Sales Report
      • Collections Report
      • Channel Stock Report
      • Prospect Analysis Report
      • Calling Reports
      • Expenses Report
      • Stock Controller MIS Reporting
      • Inventory Statement
      • Payroll Report
      • Salary Slip
      • Loan Assumption Sheet
      • Invoice Creation
Course 3
Analytics Microsoft Power BI

The Power BI course assists the user to understand the way to install Power BI desktop also by understanding and developing the workshop and insights using the data. It offers tools and techniques that are used to visualize and analyze data. The course will help you to learn and grab insights on everything an organization need; to manage the data with Power BI.


Course Content

    • 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
        • Date and Time
        • Time Intelligence
        • Information
        • Logical
        • Mathematical
        • Statistical
        • Text and Aggregate
      • 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
CertificatesMaster's Program Certificate

You will get certificate after completion of program

Course Structure
  • - 3 Months Online Program
  • - 0+ Hours of Intensive Learning
  • - 0+ Assigments & 0+ Projects
  • - 0 Live Projects
Career Assistance
  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired

Get Ahead with Croma Campus master Certificate

Earn your certificate

Our Master program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and skill you've gained working on projects, simulation, case studies will set you ahead of competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.

Industry Project


Real-life Case Studies

Work on case studies based on top industry frameworks and connect your learning with real-time industry solutions right away.


Best Industry-Practitioners

All of our trainers and highly experienced, passionate about teaching and worked in the similar space for more than 3 years.


Acquire essential Industrial Skills

Wisely structured course content to help you in acquiring all the required industrial skills and grow like a superstar in the IT marketplace.


Hands-on Practical Knowledge

Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.


Collaborative Learning

Take your career at the top with collaborative learning at the Croma Campus where you could learn and grow in groups.


Assignment & Quizzes

Practice different assignments and quizzes on different topics or at the end of each module to evaluate your skills and learning speed.

Placement & Recruitment Partners

Placement Assistance

We provide 100 percent placement assistance and most of our students are placed after completion of the training in top IT giants. We work on your resume, personality development, communication skills, soft-skills, along with the technical skills.

CAREERS AND SALARIES IN Associate in Data Analytics

Students who join our data analytics bootcamp get 100% placement support after completing the course. Croma Campus has relationships and partnerships with some of the most renowned IT companies and companies. Additionally, you will have access to our jobs portal, which offers exclusive employment opportunities for students completing their training at the Croma Campus.


As a Data Analyst, one can embark on a rewarding career with growth opportunities Salaries vary depending on position and experience, but generally range from ₹4148875 INR to 58,01,064.50 INR per year. With the growing need for data-driven insights, associates can advance to higher positions, increasing their responsibilities and salaries.

Data analysts help businesses interpret and present their data in different forms to extract or derive actionable insights. In addition, analysts also help companies separate and simplify data from different systems. A competent analyst must be proficient in various Microsoft products such as MS Excel, MS Access, MS SQL, etc. Additionally, he must have complete knowledge of data mining, data modeling and various data visualization tools/software. On average, a data analyst can earn between ₹3,00,000 to ₹12,00,000 PA.

A data scientist is a professional who uses advanced computational and statistical techniques to analyze and interpret complex data sets. They discover valuable insights, create predictive models, and contribute to strategic decision making. Data scientists have a combination of expertise in statistics, programming, and domain-specific knowledge and earn approximately ₹5,00,000-₹21,00,000 PA.

Financial analysts are experts who evaluate financial data, market trends, and economic indicators to provide insight into investment decisions. They analyze financial statements, prepare reports, and assist with budgeting and forecasting. Financial analysts play a vital role in guiding organizations and investors towards informed financial strategies. On average, a financial analyst can make approximately 3,00,000 to 12,00,000 PA.

Research analysts are experts in collecting, analyzing, and interpreting data to provide insights for research projects. They work across a variety of industries, studying market trends, consumer behavior and industry developments. Research analysts provide valuable information to support the decision-making process and guide strategic initiatives within the organization. They earn around 4148,875 INR to 66,29,788.

Data engineers are professionals responsible for designing, building, and maintaining systems and architectures to process and store large data sets. In India, data engineers typically earn an annual salary between INR 6 Lakhs and INR 15 Lakhs, with salaries varying based on experience, skills, and industry needs.

Croma Campus has relationships and partnerships with some of the most renowned IT companies and companies. After completing this data analyst associate training program, you will be able to work as an analyst at some of the most popular and renowned IT companies in the world. Furthermore, after completing this course, you can earn ₹3,00,000 to ₹12,00,000 PA as an Associate Data Analyst. However, if you are a data expert, you can get a decent raise.


On the completion of the course, you may work in various domains like manufacturing, It, healthcare, telecom, and more. Also, most of the students get 200 percent hike after completing this course. The average you will get 6 lac p.a. and for a little more efforts you may acquire salary packages up to 12 lacs p.a.

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Admission Process

date timeImportant Date & Time

You can apply for the master program online at our site. Mark the important date and time related to the program and stay in touch with our team to get the information about the program in detail.

enrollEnrollment Criteria

Once you submit your profile online, it will be reviewed by our expert team closely for the eligibility like graduation degree, basic programming skills, etc. Eligible candidates can move to the next step quickly.

finalFinal Enrollment Process

Eligible candidates have to appear for the online assessment based on your graduation and basic programming knowledge. Candidates who clear the exam will appear for the interview and finally they can join the program.

Get a chance to win a scholarship up to
₹ 23,750 (Excluding of GST)

Frequently Asked Questions

This is a program that teaches basic skills for data analysis, including statistical techniques and languages.

A basic understanding of mathematics and a high school diploma are sufficient.

The training program can be completed in five months and it totally depends on the caliber.

Programming experience is beneficial but not always required. The training program starts with the basics.

Opportunities include roles such as data analyst, business analyst business or research analyst.

Yes, Croma Campus offers online as well as offline courses to ensure flexibility and accessibility.

Yes, organizations are increasingly dependent on data, which is creating a growing demand for qualified associates.

If you like our Curriculum

What You will get Benefit
from this Program

  • Simulation Test Papers
  • Industry Case Studies
  • 61,640+ Satisfied Learners
  • 140+ Training Courses
  • 100% Certification Passing Rate
  • Live Instructor Online Training
  • 100% Placement Assistance
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