What are the key benefits of enrolling in a Data Analysis Training in Ahmedabad?

It offers comprehensive knowledge, expert-led sessions, and increased job opportunit

How does the Data Analysis Course in Ahmedabad prepare me for the job market?

It provides hands-on projects, interview preparation, and industry insights.

What job roles can I pursue after completing the Data Analysis Training in Ahmedabad?

You can pursue roles like data analyst, data engineer, data scientist, and data architect.

Is the Data Analysis Course in Ahmedabad suitable for beginners?

Yes, it covers fundamental concepts and advances to complex topics.

Will the Data Analysis Training in Ahmedabad help me work abroad?

Yes, the globally recognized certification opens up international opportunities.

What are the key benefits of enrolling in a Data Analysis Training in Ahmedabad?

It offers comprehensive knowledge, expert-led sessions, and increased job opportunit

How does the Data Analysis Course in Ahmedabad prepare me for the job market?

It provides hands-on projects, interview preparation, and industry insights.

What job roles can I pursue after completing the Data Analysis Training in Ahmedabad?

You can pursue roles like data analyst, data engineer, data scientist, and data architect.

Is the Data Analysis Course in Ahmedabad suitable for beginners?

Yes, it covers fundamental concepts and advances to complex topics.

Will the Data Analysis Training in Ahmedabad help me work abroad?

Yes, the globally recognized certification opens up international opportunities.

Data Analysis Course in Ahmedabad [Updated 2025]✅

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Searching for the top provider of Data Analysis Training in Ahmedabad Look no further! Croma Campus delivers premier Data Analytics Training, meticulously crafted by our team of experts to enhance your skills and make you proficient, allowing you to confidently apply them in your workplace.
Why Choose Our Data Analysis Course in Ahmedabad

Comprehensive Learning: Gain an immersive understanding of data analysis with our expertly designed curriculum.

High-Quality Learning Materials: Access top-tier learning materials and resources that will refine your necessary skills.

Career Advancement: Our Data Analysis Course is designed to help you kick-start an exceptional career journey.

Practical Experience: Learn through real-life case studies and hands-on practice to thoroughly grasp the concepts.

Decision-Making Skills: Discover how enterprises utilize data in their business processes to make informed decisions.

Regardless of your background, our Data Analysis Course in Ahmedabad offers a holistic training approach. Whether you come from an IT background or not, our program is designed to provide comprehensive training to all participants.
Don't wait any longer. Enroll in the best Data Analysis Certification in Ahmedabad and become a certified professional. Start your journey with Croma Campus today and unlock your potential like never before!

Our Data Analysis Training in Ahmedabad provides a robust foundation in data analysis concepts. Here are the key objectives:

Master Data Analysis Concepts and Principles: Our Data Analysis Course makes you an expert in data analysis concepts and principles.

Extract Meaningful Insights: Learn how to extract meaningful insights from data, such as hidden patterns, market trends, unknown correlations, and customer preferences.

Enhance Your Data Analysis Skills: Sharpen your data analysis skills and familiarize yourself with various data analytics terminologies.

Utilize Open-Source Data Analytics Tools: Familiarize yourself with open-source data analytics tools like R Studio and Spotfire.

Balanced Theoretical and Practical Knowledge: We offer an optimal distribution of theoretical and practical knowledge.

Advanced Concepts Mastery: Once you have mastered the fundamentals of the Data Analysis Course, youll learn more advanced concepts of R Studio, Tableau, Spotfire, and statistics.

Data analysts are among the most in-demand and highly paid professionals globally. However, their salaries vary based on several factors, including work experience, location, organization size, and job role. Scroll down to learn about the salary structures offered after completing Data Analytics Training.
In the USA, the average salary for a data analyst is over $65,000 per year. As you gain experience and knowledge, your salary will increase accordingly.
Even at the entry level, data analysts can earn between $40,585 and $78,832 per year. Experienced data analysts can command salaries ranging from $45,280 to $99,542 annually. Data analytics remains one of the most sought-after and lucrative professions worldwide.

Data analysis has become integral to every organization, leading to a high demand and significantly higher salaries for data analysts. Upon successfully completing the Data Analytics Certification, you can pursue job titles such as data engineer, data scientist, data architect, database administrator, and data analyst.
You'll have the opportunity to work with leading IT giants in the marketplace, earning competitive salary packages. Our live sessions include access to class recordings, study materials, and project work.
MNCs and corporate giants are actively hiring data analytics professionals worldwide. Popular job titles in this field include data engineer, data architect, data scientist, and database administrator.
To benefit from a lucrative career in data analytics, enroll in one of the leading Data analysis course in Ahmedabad today!

Data analysis course in Ahmedabad is highly in demand due to following reasons:

Thriving IT and Business Hub: Ahmedabad is rapidly growing as an IT and business hub, attracting numerous companies that rely on data analytics for decision-making and strategy development.

High Demand for Skilled Professionals: There is a high demand for skilled data analysts in Ahmedabad, driven by the increasing adoption of data-driven approaches by businesses across various industries.

Competitive Salaries: Data analytics professionals in Ahmedabad enjoy competitive salaries, making it an attractive career choice for many.

Quality Education and Training Institutes: The city hosts several reputable institutes offering comprehensive data analytics training, ensuring high-quality education and industry-relevant skills.

Career Growth Opportunities: Completing data analytics training opens up numerous career growth opportunities, from entry-level positions to senior roles in diverse sectors such as finance, healthcare, retail, and IT.

Access to Industry Experts: Training programs in Ahmedabad often feature industry experts and experienced professionals as instructors, providing valuable insights and real-world knowledge.

Networking and Collaboration: Ahmedabad offers a vibrant community of data professionals, providing ample networking and collaboration opportunities through events, seminars, and workshops.

Technological Advancements: The city's focus on technological advancements and innovation further boosts the importance of data analytics, as companies seek to leverage data for competitive advantage.

Practical Exposure: Many training programs emphasize hands-on learning and real-life projects, ensuring that participants gain practical experience and are job-ready.

Diverse Job Roles: Data analytics training in Ahmedabad prepares professionals for a variety of roles, including data engineer, data scientist, data architect, and business intelligence analyst, catering to the diverse needs of the job market.

These factors collectively contribute to the growing popularity of data analytics training in Ahmedabad, making it a sought-after destination for aspiring data professionals.

After completing your Data Analytics Training, here are some essential job roles and responsibilities you will need to perform:

Comprehensive Knowledge of Data Analytics: You should be proficient in all data analytics concepts and associated skills.

Familiarity with Key Terminologies: Understand key data analytics terminologies such as acquisition, manipulation, evaluation, and experimentation.

Programming Proficiency: Implement basic R programming and Tableau programming, and get acquainted with open-source data analytics tools.

Advanced Training Opportunities: Engage in advanced training in fields like advanced analytics, R Studio, Tableau, Spotfire, and statistics.

Industry Preparedness: Our Data Analytics Course, through projects, webinars, and assignments, will prepare you for the industry, helping you secure a lucrative position at a leading company.

After finishing the Data Analytics Training in Ahmedabad, you will be awarded a certification that validates your skills and knowledge to potential employers. Its a wise choice to enroll in our Data Analytics Course and complete the training successfully.

Establish yourself as a certified data analytics specialist now.

Leading companies, including Google, Intuit, Cisco Systems, Facebook, Apple, Capital, Maruti, and others, are on the lookout for talent like yours.

Our Data Analytics Course offers dedicated interview preparation sessions to help you succeed in job interviews.

Prepare yourself to overcome any obstacles in your professional journey.

Our Data Analytics Certification course in Ahmedabad equips you with comprehensive knowledge of essential data analytics tools and techniques designed to meet your learning requirements.

Get noticed by recruiters and secure a job quickly.

Our experts provide crucial interview tips to support your job search.

Boost your value in the competitive job landscape.

Globally accepted, this certification allows you to pursue opportunities abroad.

Acquire the expertise needed to pass any certification exam with confidence.

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Why Should You Learn Data Analysis?

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Helping out businesses to adapt to the new trends.

Data scientists have a tremendous impact on businesses.

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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.

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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

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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

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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

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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

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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

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Capstone Project

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+ More Lessons

Course Design By

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Course Offered By

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