Why I should do the Data Analytics Certification?

Professionals or fresher’s who are willing to make a career in Data Analytics can do this course.

Why you should choose Croma Campus for Data Analytics Certification?

Well, with our training, participants can enhance their careers as Data analysts.

Who are the instructors for Data Analytics Certification?

We, at Croma Campus, have a dedicated team of instructors with nearly a decade of relevant teaching experience.

Do you provide placement assistance post the completion of the Data Analytics Certification?

We will train you accordingly, allowing you to get attractive job offers at the time of an interview.

What are the prerequisites to learn data analytics training?

We, at Croma Campus, don't ask for any requisites.

Why I should do the Data Analytics Certification?

Professionals or fresher’s who are willing to make a career in Data Analytics can do this course.

Why you should choose Croma Campus for Data Analytics Certification?

Well, with our training, participants can enhance their careers as Data analysts.

Who are the instructors for Data Analytics Certification?

We, at Croma Campus, have a dedicated team of instructors with nearly a decade of relevant teaching experience.

Do you provide placement assistance post the completion of the Data Analytics Certification?

We will train you accordingly, allowing you to get attractive job offers at the time of an interview.

What are the prerequisites to learn data analytics training?

We, at Croma Campus, don't ask for any requisites.

Data Analytics Certification Training

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

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

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

Looking for the best provider of Data Analytics Courses that can impart at the right price If so, your search ends here! Croma Campus offers the best Data Analytics Training that is industriously designed by our team of experts to help you improve your skills and make you proficient so that you can deploy them in your workplace, confidently.

Get an immersive understanding of the relative domain.

Avail of suitable learning materials and knowledge that will enhance the necessary skills.

Our Data Analytics Course will help you to kick-start an incredible career journey.

Our Data Analytics Training will help you understand real-life case studies and hands-on practice to let you gain a proper understanding of the concepts.

Enterprises are using data in their business processes to make the right decisions.

No matter if you are from an IT background or not, our Data Analytics Course offers a holistic approach to provide its training participants. So, what are you waiting for Simply enrol for the best Data Analytics Certification and become a certified professional like never before.

Our Data Analytics Training may help you with a robust foundation of data analysis concepts. Here are a few of the major objectives of the Data Analytics Course:

Our Data Analytics Course makes you an expert in Data Analytic concepts and, principles.

Know how to extract meaningful insights from the preferred data such as hidden patterns, market trends unknown correlations, and customer preferences.

Sharpen your data analysis skills and various data analytics terminologies.

Familiarize yourself with open-source data analytics tools i.e., R Studio or Spotfire, etc.

We offer an optimal distribution of theoretical and practical knowledge.

Once you have mastered the fundamentals of the Data Analytics Course, youll learn more advanced concepts of R studio, Tableau, Spotfire, statistics, etc.

Data Analytics are one of the most in-demand and highly-paid professionals across the world. However, the salary of a Data Analytics varies depending on various factors such as work experience, location, size of the organization, job role, etc.
Scroll down a bit to know the salary structures offered post completing the Data Analytics Training.

The average salary of a Data Analytics is more than $ 65,000 per year in the USA.

The salary will grow as you gain experience, knowledge, and a job role.

It is one of the most in-demand and high-paid professionals across the globe.

Even a professional at the beginner level may earn $40,585 to $78,832.

An experienced data Analytics can earn up to $45,280 to $99,542.

Data Analysis has become a part of every organization. However, the huge demand and therefore the salary of Data Analytics is significantly higher. Some of the job titles after successfully completing the Data Analytics Certification are data engineer, data scientist, data architect, database administrator, data Analytics, etc.

You will work with leading IT giants in the marketplace and at a higher salary package.

Our Live session is empowered with delivering the recordings of the live class, study material, projects, etc.

MNCs and corporate giants are hiring data Analytics professionals across the globe.

Popular job titles include data engineer, data architect, data scientist, database administrator, etc.

If you want to avail the benefits of a lucrative career, you need to enrol in one of the leading Data Analytics Training.

It wouldnt be wrong to say that data is increasingly popular, and so is the demand for a data Analytics professional. Well, Data Analytics Certification plays a crucial role in helping business operations by making effective business decisions.

Students will learn how to analyse and manage the data that could benefit the organization.

The demand for skilled professionals is likely to rise in the future.

Theres a shortage of skilled experts across the globe.

Professionals are likely to bag huge salary packages and even work abroad.

Most of the top MNCs are getting into data analytics.

After the completion of your Data Analytics Training, here are some of the major job roles and responsibilities that you must need to perform at work.

A pro should know all Data Analytics concepts and related skills.

You must know about various data analytics terminologies like acquisition, manipulation, evaluation, experimentation, etc.

Implement basic R programming, and Tableau programming and familiarize yourself with open-source data analytics tools.

Apply for advanced-level training such as advanced analytics, R studio, Tableau, Spotfire, statistics, and much more.

Our Data Analytics Course such as the projects, webinars, & assignments will make you industry-ready, allowing you to grab a high-paying job at a top-notch company.

Upon Data Analytics Training completion, you will be bestowed with a training certificate that will assure your potential employers trust your skillset and knowledge. So, it will be a wise decision on your part to enrol in our Data Analytics Course and successfully complete the training.

Establish yourself as a certified data Analytics expert right away.

Major companies include Google, Intuit, Cisco Systems, Facebook, Apple, Capital, Maruti, etc.

Our Data Analytics Course provide an interview training session regarding job interviews

Get yourself ready to face any challenges that come your way.

Our Data Analytics Certification includes comprehensive knowledge of all the related Data Analytics tools and techniques to cater to the specific needs of the learners.

Get noticed by potential recruiters, and get hired right away.

Our experts also support you by providing interview tips.

Increase your worth in todays competitive landscape.

As it is accepted worldwide, you can work abroad.

Get sufficient knowledge to clear any certification exam successfully.

You May Also Read:

Data Engineering Certification

Why should You Learn Data Analytics?

Turn raw data into valuable business insights and decisions

Boost your career with one of the most in-demand tech skills

Open doors to roles like Data Analyst, BI Analyst, and Data Scientist

Learn to work with powerful tools like Excel, SQL, Python, and Tableau

Not just learning

we train you to get hired.

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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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Upasana Singh

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Abhishek Rawat

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Course Duration

100 Hrs.

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SELF ASSESSMENT

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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.

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