Why should I opt for Data Analytics Classes?

Always opt for Data Analytics Classes to gain essential skills for a competitive edge in data-driven industries.

Why choose Croma Campus for Google Data Analytics Professional Certificate Training?

Choose Croma Campus for Google Data Analytics Professional Certificate Training for expert-led, comprehensive, and industry-relevant instruction.

Who will be the instructors for Data Analytics Classes?

Instructors for Data Analytics Classes at Croma Campus are seasoned professionals with extensive industry experience.

Do you provide job assistance or placement support after Google Data Analytics Training?

Yes, Croma Campus provides job assistance and placement support after Google Data Analytics Training.

What skills will I get after Data Analytics Training in Chennai?

After Data Analytics Training in Chennai, you will acquire skills in data analysis, visualization, SQL, and be well-prepared for roles in analytics.

Why should I opt for Data Analytics Classes?

Always opt for Data Analytics Classes to gain essential skills for a competitive edge in data-driven industries.

Why choose Croma Campus for Google Data Analytics Professional Certificate Training?

Choose Croma Campus for Google Data Analytics Professional Certificate Training for expert-led, comprehensive, and industry-relevant instruction.

Who will be the instructors for Data Analytics Classes?

Instructors for Data Analytics Classes at Croma Campus are seasoned professionals with extensive industry experience.

Do you provide job assistance or placement support after Google Data Analytics Training?

Yes, Croma Campus provides job assistance and placement support after Google Data Analytics Training.

What skills will I get after Data Analytics Training in Chennai?

After Data Analytics Training in Chennai, you will acquire skills in data analysis, visualization, SQL, and be well-prepared for roles in analytics.

Google Data Analytics Professional Certificate In Chennai

Name: Data Analytics Training Program
Item: Data Analytics Training Program
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Learn how to extract data for analysis. Join now and learn under an expert data analyst.

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The Google Data Analytics Professional Certificate is a comprehensive program designed to equip individuals with the skills necessary for a successful career in data analytics. Covering key topics such as data analysis, data visualization, and SQL, this certificate program is an excellent choice for those looking to enter the field or enhance their existing skills.
Prerequisites:

No specific prerequisites required

Suitable for beginners or those looking to enhance existing skills

Who Can Enroll:

Open to individuals of all backgrounds

Ideal for recent graduates, working professionals, or anyone interested in data analytics

Accommodates a wide range of learners

Exam Format:

Comprehensive exam

Combination of multiple-choice questions and practical assessments

Tests theoretical knowledge and practical application

Successful completion results in the Google Data Analytics Professional Certificate

Google Data Analytics Professional Certification Objectives:

Develop proficiency in fundamental data analytics concepts and techniques.

Acquire skills in data analysis, data visualization, and SQL.

Gain hands-on experience in real-world data analysis projects.

Understand how to interpret and communicate data insights effectively.

Learn to use industry-standard tools for data analytics.

Demonstrate proficiency in applying analytical skills to solve practical problems.

Cultivate a deep understanding of data ethics and privacy considerations in analytics.

Develop a portfolio showcasing the practical application of learned skills.

Prepare for real-world scenarios in the field of data analytics.

Embark on a career-enhancing journey with the Google Data Analytics Professional Certificatecomplete in less than six months and requires no prior experience. Acquire key skills such as data analysis, visualization, and SQL proficiency through this accessible program suitable for diverse learners, including recent graduates and career-transitioning professionals. Stand out in the job market by completing practical projects using industry-standard tools.
This certification opens doors to roles with average entry-level salaries ranging from $50,000 to $70,000, offering potential for further growth. Secure your future in the dynamic field of data analytics and step confidently into new opportunities.

Complete the program in less than six months.

No prior experience required.

Acquire skills in data analysis, visualization, and SQL.

Suitable for diverse learners, including recent graduates and career-transitioning professionals.

Practical projects using industry-standard tools.

Average entry-level salaries range from $50,000 to $70,000.

Elevate your career prospects with the Google Data Analytics Professional Certificate in Chennai your key to success in the evolving field of data analytics.

Achieve rapid career growth with the Google Data Analytics Professional Certificate that can be completed in under six months with no prior experience required. This certification unlocks diverse job opportunities, making you eligible for roles like data analyst or business analyst. Expect increased employability and potential salary advancement as you gain hands-on data analysis, visualization, and SQL skills.
The industry-recognized credential facilitates smooth career transitions and encourages continuous learning in the dynamic field of data analytics. Propel your career forward with this Google-backed certification, securing immediate job readiness and long-term success.

Diverse job opportunities

Increased employability

Potential salary advancement

Smooth career transitions

Encourages continuous learning

Elevate your career with the Google Data Analytics Professional Certificate, your gateway to immediate and sustained success in the evolving world of data analytics.

Google Data Analytics Professional Certification so popular

Rapid Career Growth: This certificate propels individuals into high-demand roles like data analyst or business analyst.

Enhanced Employability: Equipping learners with essential skills, the certification ensures increased employability in competitive job markets.

Salary Advancement: Professionals can anticipate potential salary growth by demonstrating proficiency in data analysis, visualization, and SQL.

Smooth Career Transitions: Recognized across industries, the certificate facilitates seamless career transitions, making it a popular choice for diverse backgrounds.

Continuous Learning: Google's endorsement fosters a culture of continuous learning, keeping professionals abreast of industry trends.

Upon obtaining the Google Data Analytics Professional Certificate, individuals become qualified for various roles in the field. The certification prepares you for responsibilities centered around data analysis, interpretation, and visualization. Common job roles and associated responsibilities include:
Data Analyst:

Analyzing large datasets to extract valuable insights.

Developing and implementing data collection systems and strategies.

Preparing reports and visualizations to communicate findings.

Business Analyst:

Evaluating business processes and requirements.

Using data to identify business opportunities and challenges.

Providing recommendations for improvements based on data analysis.

Data Specialist:

Managing and organizing large datasets for analysis.

Collaborating with teams to implement data-driven solutions.

Ensuring data accuracy, integrity, and security.

Database Administrator:

Designing and maintaining databases.

Optimizing database performance and troubleshooting issues.

Implementing security measures to protect data.

Operations Analyst:

Analyzing operational processes to identify areas for improvement.

Using data to streamline workflows and enhance efficiency.

Providing insights to support strategic decision-making.

Research Analyst:

Conducting research to gather relevant data.

Analyzing research findings to inform decision-making.

Preparing reports and presentations summarizing research outcomes.

Financial Analyst:

Analyzing financial data to support business decisions.

Creating financial models and forecasts.

Providing insights into financial performance.

Major companies like Google, Intuit, Cisco Systems, Facebook, Apple, and Maruti highly value such certifications. Additionally, our Data Analytics Class includes interview training sessions to prepare you for job interviews. Get ready to overcome challenges and establish yourself as a certified Data Analytics expert in demand in today's competitive job market.

Upon completing our Google Data Analytics Professional Certificate Training, you'll receive a certification that builds confidence in your skills and knowledge, enhancing your appeal to potential employers. Enrolling in our Data Analytics Course and successfully completing the training is a wise decision, positioning you as a certified expert.

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Data Analytics Certification

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Data Analytics Training in Noida

Data Analyst Certification

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Data Science Certification

Data Science Course in Noida

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Why Should You Learn Google Data Analytics Training?

The average data scientist salary is ₹698,413 in India.

The average salary for a Google Data Analytics is $70845 per year in the United States.

The average salary for a Google Data Analytics is £36,178 in London, UK.

It is expected to register a 26.2% CAGR during the period.

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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

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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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