Training Certificate is Govern By 12 Global Associations.
Career Transition
Career Gap
Placement Activities
Placement Drives
Latest Hiring
Whats App Reviews.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
Course Design By
Nasscom & Wipro
Learn how to extract data for analysis. Join now and learn under an expert data analyst.
4.2/5
4.8/5
4.6/5
4.3/5
4.5/5In collaboration with
Online/Offline
Format
LMS
Life Time Access
Book A Free Counselling Session
we train you to get hired.
- 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:
- Who Can Enroll:
- Exam Format:
No specific prerequisites required
Suitable for beginners or those looking to enhance existing skills
Open to individuals of all backgrounds
Ideal for recent graduates, working professionals, or anyone interested in data analytics
Accommodates a wide range of learners
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 Certificate In Chennai
- 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.
- Elevate your career prospects with the Google Data Analytics Professional Certificate in Chennai your key to success in the evolving field of data analytics.
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.
- 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.
- Elevate your career with the Google Data Analytics Professional Certificate, your gateway to immediate and sustained success in the evolving world of data analytics.
Diverse job opportunities
Increased employability
Potential salary advancement
Smooth career transitions
Encourages continuous learning
- 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:
- Business Analyst:
- Data Specialist:
- Database Administrator:
- Operations Analyst:
- Research Analyst:
- Financial Analyst:
Analyzing large datasets to extract valuable insights.
Developing and implementing data collection systems and strategies.
Preparing reports and visualizations to communicate findings.
Evaluating business processes and requirements.
Using data to identify business opportunities and challenges.
Providing recommendations for improvements based on data analysis.
Managing and organizing large datasets for analysis.
Collaborating with teams to implement data-driven solutions.
Ensuring data accuracy, integrity, and security.
Designing and maintaining databases.
Optimizing database performance and troubleshooting issues.
Implementing security measures to protect data.
Analyzing operational processes to identify areas for improvement.
Using data to streamline workflows and enhance efficiency.
Providing insights to support strategic decision-making.
Conducting research to gather relevant data.
Analyzing research findings to inform decision-making.
Preparing reports and presentations summarizing research outcomes.
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.
- You May Also Read:
Why Should You Learn Google Data Analytics Training?
Not just learning
we train you to get hired.
By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy
CURRICULUM & PROJECTS
Data Analytics Training Program
- 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.
Get full course syllabus in your inbox
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
Get full course syllabus in your inbox
- Categorical Data
- Numerical Data
- Mean
- Median
- Mode
- Outliers
- Range
- Interquartile range
- Correlation
- Standard Deviation
- Variance
- Box plot
- Descriptive Statistics
- Sample vs Population Statistics
- Random variables
- Probability distribution functions
- Expected value
- Normal distribution
- Gaussian distribution
- Z-score
- Spread and Dispersion
- Correlation and Co-variance
- Data Preparation
- Feature Engineering
- Feature Scaling
- Datasets
- Dimensionality Reduction
- Anomaly Detection
- Parameter Estimation
- Data and Knowledge
- Selected Applications in Data Mining
- Need for structured exploratory data
- EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
- Identify missing data
- Identify outliers data
- Imbalanced Data Techniques
Get full course syllabus in your inbox
- Statistics
- Pandas
Get full course syllabus in your inbox
- 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
- AI Tools:
- Copilot in Azure Data Studio or GitHub for SQL suggestions
Get full course syllabus in your inbox
- 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
- 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
Get full course syllabus in your inbox
- 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
- 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
Get full course syllabus in your inbox
- Data Visualization
- Business Intelligence tools
- Introduction to Tableau
- Tableau Architecture
- Tableau Server Architecture
- VizQL Fundamentals
- Introduction to Tableau Prep
- Tableau Prep Builder User Interface
- Data Preparation techniques using Tableau Prep Builder tool
- Features of Tableau Desktop
- Connect to data from File and Database
- Types of Connections
- Joins and Unions
- Data Blending
- Tableau Desktop User Interface
- Visual Analytics
- Basic Charts Bar Chart, Line Chart, and Pie Chart
- Hierarchies
- Data Granularity
- Highlighting
- Sorting
- Filtering
- Grouping
- Sets
- Types of Calculations
- Built-in Functions (Number, String, Date, Logical and Aggregate)
- Operators and Syntax Conventions
- Table Calculations
- Level of Detail (LOD) Calculations
- Using R within Tableau for Calculations
- Parameters
- Tool tips
- Trend lines
- Reference lines
- Forecasting
- Clustering
- Count Customer by Order
- Profit per Business Day
- Comparative Sales
- Profit Vs Target
- Finding the second order date
- Cohort Analysis
- Introduction to Geographic Visualizations
- Manually assigning Geographical Locations
- Types of Maps
- Spatial Files
- Custom Geocoding
- Polygon Maps
- Web Map Services
- Background Images
- Box and Whiskers Plot
- Bullet Chart
- Bar in Bar Chart
- Gantt Chart
- Waterfall Chart
- Pareto Chart
- Control Chart
- Funnel Chart
- Bump Chart
- Step and Jump Lines
- Word Cloud
- Donut Chart
- Introduction to Dashboards
- The Dashboard Interface
- Dashboard Objects
- Building a Dashboard
- Dashboard Layouts and Formatting
- Interactive Dashboards with actions
- Designing Dashboards for devices
- Story Points
- Tableau Tips and Tricks
- Choosing the right type of Chart
- Format Style
- Data Visualization best practices
- Publishing Workbooks to Tableau Online
- Interacting with Content on Tableau Online
- Data Management through Tableau Catalog
- AI-Powered features in Tableau Online (Ask Data and Explain Data)
- Understand Scheduling
- Managing Permissions on Tableau Online
- Data Security with Filters in Tableau Online
- Ask Data: Natural Language Data Exploration
- Explain Data: Automatic statistical insights
- Tableau GPT (Einstein Copilot - Salesforce)
- AI forecasting in visualizations
- Integration with Python (TabPy) and R
Get full course syllabus in your inbox
Get full course syllabus in your inbox
+ More Lessons
Course Design By
Course Offered By
Croma Campus
Real
Stories
success
inspiration
Sristi Sharma
career upgrade
Mohit
career upgrade
Ansul
career upgrade
Kumar Vaibhav
career upgrade
Get exclusive
access to career resources
upon completion
Mock Session
You will get certificate after
completion of program
LMS Learning
You will get certificate after
completion of program
Career Support
You will get certificate after
completion of program
Showcase your Course Completion Certificate to Recruiters
-
![checkgreen]()
Training Certificate is Govern By 12 Global Associations.
-
![checkgreen1]()
Training Certificate is Powered by “Wipro DICE ID”
-
![checkgreen2]()
Training Certificate is Powered by "Verifiable Skill Credentials"
in Collaboration with
Not Just Studying
We’re Doing Much More!
Empowering Learning Through Real Experiences and Innovation
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.
How Croma Campus Mock Interview Works?![graph_new]()
Not just learning
we train you to get hired.
Phone (For Voice Call):
+91-828 706 0032WhatsApp (For Call & Chat):
+91-828 706 0032Download Curriculum
Get a peek through the entire curriculum designed that ensures Placement Guidance
Course Offered By
Request Your Batch Now
Ready to streamline Your Process? Submit Your batch request today!
.webp)
.webp)
.webp)
+91-828 706 0032
+91-828 706 0032 
+91-828 706 0032
+1 (782) 819-0044
Interested in Course?
.webp)
.webp)
.png)
