Learn how to extract data for analysis. Join now and learn under an expert data analyst.
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Corporate Served- 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?
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Course Duration
180 Hrs.
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Trained Students
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Success Ratio
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CURRICULUM & PROJECTS
Data Analytics Certification Training
- 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
- 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
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
- Statistics
- Categorical Data
- Numerical Data
- Mean
- Median
- Mode
- Outliers
- Range
- Interquartile range
- Correlation
- Standard Deviation
- Variance
- Box plot
- Pandas
- Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les
- How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function
- Using the Excel File class to read multiple sheets More Mapping, Filling Nonvalue’s
- Exploring the Data Plotting, Correlations, and Histograms
- Getting statistical information about the data Analysis Concepts, Handle the None Values
- Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
- Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
- Applying formulas on the columns Basic Grouping, Concepts of Aggre gate Function
- Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)
- Under sting the Properties of Pivot Table in Pandas Advanced Reading CSVs/HTML, Binning, Categorical Data
- Exporting the results to Excel Joins
- Python | Pandas Data Frame Inner Join
- Under sting the properties of Data Frame Left Join (Left Outer Join)
- Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
- Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
- Pandas | Find Missing Data and Fill and Drop NA Appending Data Frame and Data
- Pandas | How to Group Data How to apply Lambda / Function on Data Frame
- Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)
+ More Lessons
Mock Interviews
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FAQ's
Always opt for Data Analytics Classes to gain essential skills for a competitive edge in data-driven industries.
Choose Croma Campus for Google Data Analytics Professional Certificate Training for expert-led, comprehensive, and industry-relevant instruction.
Instructors for Data Analytics Classes at Croma Campus are seasoned professionals with extensive industry experience.
Yes, Croma Campus provides job assistance and placement support after Google Data Analytics Training.
After Data Analytics Training in Chennai, you will acquire skills in data analysis, visualization, SQL, and be well-prepared for roles in analytics.
- - Build an Impressive Resume
- - Get Tips from Trainer to Clear Interviews
- - Attend Mock-Up Interviews with Experts
- - Get Interviews & Get Hired
If yes, Register today and get impeccable Learning Solutions!
Training Features
Instructor-led Sessions
The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.
Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Lifetime Access
Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
24 x 7 Expert Support
With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.
Certification
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
Showcase your Course Completion Certificate to Recruiters
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Training Certificate is Govern By 12 Global Associations.
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Training Certificate is Powered by “Wipro DICE ID”
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Training Certificate is Powered by "Verifiable Skill Credentials"
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