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Associate in Data Analytics  Curriculum

Course Module

    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

    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

    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)

    Capstone Project

Elective Program

Power BI

Power BI

Free Quiz

Excel

Analytics with Excel

Take Exam
My SQL & SQL

My SQL & SQL Exam

Take Exam
Microsoft Power BI

Microsoft Power BI

Take Exam

Course Design By

naswipro

Nasscom & Wipro

Course Offered By

croma-orange

Croma Campus

Master's Program Certificate

You will get certificate after completion of program

Tools Covered of Associate in Data Analytics

Tableau

Tableau

Power BI

Power BI

Excel

Excel

SQL

SQL

Data analytics

Data analytics

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Associate in Data Analytics Projects

Domain: Domain: Cricket Sports

Project Name:

IPL Data Analysis:

Indian Premier League more popularly called IPL is a Cricket Tournament hoisted by the Cricket Board of India(BCCI). Players from different countries participate in IPL making it an exciting opportunity to entertain cricket lovers. IPL was established in 2008 when the first season of IPL was hoisted. We perform the EDA task to find the insights in data of a highest scorer player in the Indian team.

Tools & Technology Used:

Domain: Domain: CAB Services

Project Name:

Uber Supply Demand Gap Analysis:

For this project i would like to do Uber supply demand gap analysis. I hope everyone experienced of travelling in any of the cab services like uber. sometimes we may face the problem of cancellation by the driver or non-availability of cars. These are the problems faced by customers and it impact the business of Uber. If drivers cancel the request of riders or if cars are unavailable, Uber loses out on its revenue.

Tools & Technology Used:

Domain: Domain: Sales

Project Name:

Zomato Pizza Sales Analysis:

Category-wise analysis of best-sellers and least-sellers, such as in the Pizza category by date, enables better decision-making. It helps identify weak areas, allowing targeted improvements. This strategic approach supports data-driven actions to enhance efficiency and optimize overall sales performance effectively.

Tools & Technology Used:

Industry Insights

*Insights Displayed Are as Per Our Recorded Data

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Job Target Roles

Data Analyst ₹5L - ₹8L

Business Analyst ₹6L - ₹9L

Statistical Analyst ₹6L - ₹8L

Insights Analyst ₹6L - ₹9L

Research Analyst ₹5L - ₹7L

Reporting Analyst ₹5L - ₹8L

Data Scientist ₹8L - ₹12L

Predictive Analyst ₹6L - ₹9L

Marketing Analyst ₹5L - ₹7L

Product Analyst ₹6L - ₹9L

Process Analyst ₹5L - ₹7L

Risk Analyst ₹6L - ₹8L

Risk Analyst ₹6L - ₹8L

Customer Analyst ₹5L - ₹9L

KPI Analyst ₹5L - ₹7L

Data Strategist ₹7L - ₹10L

Machine Analyst ₹6L - ₹8L

Growth Analyst ₹6L - ₹9L

Fraud Analyst ₹5L - ₹7L

Metrics Analyst ₹5L - ₹8L

AI Analyst ₹7L - ₹10L

BI Analyst ₹6L - ₹9L

BI Analyst ₹6L - ₹9L

AI Analyst ₹7L - ₹10L

Metrics Analyst ₹5L - ₹8L

Fraud Analyst ₹5L - ₹7L

Growth Analyst ₹6L - ₹9L

Machine Analyst ₹6L - ₹8L

Data Strategist ₹7L - ₹10L

KPI Analyst ₹5L - ₹7L

Customer Analyst ₹5L - ₹9L

Risk Analyst ₹6L - ₹8L

Risk Analyst ₹6L - ₹8L

Process Analyst ₹5L - ₹7L

Product Analyst ₹6L - ₹9L

Marketing Analyst ₹5L - ₹7L

Predictive Analyst ₹6L - ₹9L

Data Scientist ₹8L - ₹12L

Reporting Analyst ₹5L - ₹8L

Research Analyst ₹5L - ₹7L

Insights Analyst ₹6L - ₹9L

Statistical Analyst ₹6L - ₹8L

Business Analyst ₹6L - ₹9L

Data Analyst ₹5L - ₹8L

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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
certificate

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.
  • BrainThe Data Analyst Associate role provides an excellent foundation for career growth, offering opportunities to specialize in specific areas or advance to more senior positions.
  • PolygonAs 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.

GrowthWith 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.

AnalyticsAfter 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.

StructureAccording 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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