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Associate in Data Analytics  Curriculum

Course Module

    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.

    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

    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

    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 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 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

    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

    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

    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

    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

    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

    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

    Cursor declaration and Life cycle

    STATIC

    DYNAMIC

    SCROLL Cursors

    FORWARD_ONLY and LOCAL Cursors

    KEYSET Cursors with Complex SPs

    ACID Properties and Scope

    EXPLICIT Transaction types

    IMPLICIT Transactions and options

    AUTOCOMMIT Transaction and usage

    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

    Extracting data from various sources

    Workspaces in Power BI

    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

    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

    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

    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

    Why Dashboard and Dashboard vs Reports

    Creating Dashboards

    Conguring a Dashboard Dashboard Tiles, Pinning Tiles

    Power BI Q&A

    Quick Insights in Power BI

    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

    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

    Understanding Data Refresh

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

    Replacing a Dataset and Troubleshooting Refreshing

Free Quiz

Excel

Analytics with Excel

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My SQL & SQL

My SQL & SQL Exam

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Microsoft Power BI

Microsoft Power BI

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Course Design By

naswipro

Nasscom & Wipro

Course Offered By

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Croma Campus

Master's Program Certificate

You will get certificate after completion of program

Tools Covered of Associate in Data Analytics

Power BI

Power BI

Excel

Excel

SQL

SQL

Data analytics

Data analytics

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Associate in Data Analytics

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

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Associate in Data Analytics Projects

Domain: E-Commerce

Project Name:

C2C Model

Business model Customer to Customer (C2C) allows customers to do business with each other. This model is growing fast with e-commerce platforms where sellers may be required to pay some amount and buyer can buy it without paying anything. E-Commerce website brings the seller and buyer to the same platform.

Tools & Technology Used

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

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: 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

Industry Insights

*Insights Displayed Are as Per Our Recorded Data

Be The Bedrock Of The Company!

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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