Data Analytics Training
Most Common Data Analytics Tools
- Data Collection
- Data Cleaning
- Exploration
- Visualization
- SQL
- Python
- Big Data
- Tableau
- Business Intelligence
- Machine Learning
- Deep Learning
- Capstone
Data Analytics Course
Learn foundational data analytics skills from an AWS Advanced Tier Training Partner
Jump-start your data analytics journey and build confidence with our one-day
Data Analytics Essentials course. Taught by experienced trainers, this dynamic online course covers crucial data analytics topics, including data concepts, analytical best practices, and key tools and techniques, preparing you for a career in data analytics or related certification exams.
What You'll Learn
Jump-start your data analytics journey and build confidence with our Data Analytics Essentials course. Taught by experienced trainers, this dynamic Offline & Online course covers crucial data analytics topics, including data fundamentals, analysis techniques, and visualization tools.
Essentials Key Features
- Understand core data analytics concepts deeply.
- Clean, prepare, and organize datasets efficiently.
- Use tools like Excel and SQL proficiently.
- Master data visualization for clear insights.
- Apply data-driven decisions using metrics.
- Build predictive models with machine learning.
What You'll Learn
Jump-start your data analytics journey and build confidence with our one-day Data Analytics Essentials course. Taught by experienced trainers, this dynamic online course covers crucial data analytics topics, including data fundamentals, analysis techniques, and visualization tools.
Essentials Key Features
- Understand core data analytics concepts deeply.
- Clean, prepare, and organize datasets efficiently.
- Use tools like Excel and SQL proficiently.
- Master data visualization for clear insights.
- Apply data-driven decisions using metrics.
- Build predictive models with machine learning.
Data Analytics Training Curriculum
Data Analytics
- Advance Excel
- Power Bi
- Tableau
- Python
- SQL
- R Programming
Advance Excel
- Introduction to Excel
- Referencing, Named Ranges & Arithmetic Functions
- Logical Functions
- Referencing Data from Different Tables
- Advanced Functions
- Date and Text Functions
- Data Handling
- Data Visualization
- Data Summarization
- Connecting to Data
- VBA and Macros
Power Bi
- Power BI Introduction
- Installation & Setup (Power BI Desktop)
- Power Query Editor
- Data Modelling
- Loading Data from Different Formats
- Data Cardinality, Filter Direction, Relationships
- Data Transformation (Append, Merge, Split Columns, etc.)
- Power BI Visualizations
- Column Chart, Line Chart, Conditional Formatting
- Custom Visuals
- Simple & Advanced Dashboards
- Map Visuals, Tree Maps, KPI Cards
- Power BI Service – Publishing and Sharing Reports
- Power BI AI Features
- Q&A Box
- Decomposition Tree
- Smart Narrative
- AI Analysis using Charts
- DAX Basics (Calculated Columns, Measures, etc.)
Tableau
- Introduction to Tableau
- Data Visualization & Data Preparation
- Tableau Desktop Installation
- Data Source, Sheets, and Views
- Filters (Types and Effects)
- Highlight Tables and Formatting
- Map Chart and Dual Axis
- Calculations (Basic, String, Conditional, etc.)
- Parameters and Sets
- Table Calculations
- Dashboard Design and Actions
- Joins and Relationships
- Logical Functions and Data Blending
- Exception Handling
Python
- Introduction to Python
- Installation
- Variables
- Data Types
- Strings
- Numbers List
- Arrays
- Tuples
- Dictionary
- Set
- Control Flow
- Functions
- OOPS Concepts
- Classes & Objects
- File Handling
- Exception Handling
- Numpy
- Pandas
- Matplotlib
SQL
- Introduction to MySQL
- SQL Commands
- Data Types
- DQL & Operators
- Group Operation
- Aggregate Functions
- Constraints
- Joins
- DDL
- DML & TCL Commands
- Indexes and Views
- Stored Procedure
- Function
- Constructs
- Union, Intersect
- Sub-query
R Programming
- Intro to R
- Data Types
- Data Structures
- Decision Making
Soft Skills & Communication
- Writing clear reports
- Explaining insights to non-technical stakeholders
- Data storytelling techniques
Data Visualization
- Principles of data visualization
- Tableau / Power BI dashboards
- KPI reporting & storytelling
- Case study: Sales dashboard
Career Path
- Entry-Level / Beginner Roles
- Data Analyst
- Business Analyst
- Reporting Analyst
- Mid-Level Roles
- Data Scientist
- Product Analyst
- Marketing Analyst
- Operations Analyst
- Senior / Specialized Roles
- Analytics Manager
- Data Engineer (if moving into infra side)
- BI Specialist (Tableau/Power BI expert)
- Machine Learning Engineer (if upskilled to ML/AI)
Interview Preparation
1. Core Concepts
Data lifecycle, ETL, descriptive vs. predictive analytics
2. Excel
Pivot tables, VLOOKUP/INDEX+MATCH, charts, dashboards
3. SQL
SELECT, GROUP BY, JOINS, CTEs, Window functions
Practice: 2nd highest salary, joins, aggregations
4. Statistics
Mean, Std Dev, Normal distribution
Hypothesis testing, p-value, correlation
5. Python (or R)
Pandas, NumPy, Matplotlib, Seaborn
Data cleaning, EDA, handling missing values
6. Visualization Tools
Power BI / Tableau dashboards
Choosing right charts, KPIs
7. Case Studies
E-commerce sales analysis, fraud detection, retention metrics
8. Soft Skills
Explain analysis simply
STAR method for project-based questions
Bangalore
+91 76763 70336
Coimbatore
+91 84319 66507
Why Data Analytics Course From Cloud Institution?
Expert Trainer Support
- Real-Time Problem Solving
- Personalized Coaching
- One-on-One Mentoring
Top Placement Assistance
- Career Guidance and Counseling
- Access to Hiring Partners
- High Placement Rate
24x7 Support
- Continuous Availability
- Improved Customer Satisfaction
- Business Continuity
Project Based Learning
- Real-World Application
- Critical Thinking and Problem-Solving
- Collaboration and Communication
Industry Recognised Certification
- Validated Skills and Knowledge
- Career Advancement
- Credibility with Employers
Why Data Analytics Course From Cloud Institution?
Expert Trainer Support
- Real-Time Problem Solving
- Personalized Coaching
- One-on-One Mentoring
Top Placement Assistance
- Career Guidance and Counseling
- Access to Hiring Partners
- High Placement Rate
24x7 Support
- Continuous Availability
- Improved Customer Satisfaction
- Business Continuity
Project Based Learning
- Real-World Application
- Critical Thinking and Problem-Solving
- Collaboration and Communication
Industry Recognised Certification
- Validated Skills and Knowledge
- Career Advancement
- Credibility with Employers
Data Analytics Training Benefits
Jump-start your data analytics journey and build confidence with our Data Analytics Essentials course. Taught by experienced trainers, this dynamic Offline & Online course covers crucial data analytics topics, including data fundamentals, analysis techniques, and key visualization tools.
Data Analytics Training Benefits
Jump-start your data analytics journey and build confidence with our one-day Data Analytics Essentials course. Taught by experienced trainers, this dynamic online course covers crucial data analytics topics, including data fundamentals, analysis techniques, and key visualization tools.
Designation
Annual Salary
Hiring Companies
Job Roles
Annual Salary
Hiring Companies
Annual Salary
Hiring Companies
Annual Salary
Hiring Companies
Annual Salary
Hiring Companies
Data Analytics Training Curriculum
Introduction to Data Analytics
What is data analytics and why it matters
Types of data analytics: descriptive, diagnostic, predictive, prescriptive
Data Collection & Data Sources
Primary vs. secondary data
Data collection methods and sources (APIs, databases, surveys, web scraping)
Data Cleaning & Preparation
Handling missing data, duplicates, and inconsistencies
Data types, formatting, and transformation techniques
Excel for Data Analysis
Functions, pivot tables, charts
Lookup functions and basic dashboards
SQL for Data Management
Querying databases using SELECT, JOIN, GROUP BY
Filtering, sorting, and aggregating data
Data Visualization & Storytelling
Best practices for creating charts and graphs
Tools: Tableau, Power BI, or Google Data Studio
Statistical Analysis Fundamentals
Descriptive stats: mean, median, mode, variance
Intro to hypothesis testing and correlation
Exploratory Data Analysis (EDA)
Identifying trends, patterns, and outliers
Using Python or R for data exploration (optional advanced path)
Python for Data Analysis (Optional/Advanced)
Using pandas, numpy, and matplotlib
DataFrames, data manipulation, and basic plots
Business Intelligence Tools
Introduction to BI tools (Power BI, Tableau)
Creating interactive dashboards and reports
Data-Driven Decision Making
Interpreting analytics for business impact
Presenting actionable insights to stakeholders
Phone (For Voice Call )
+91 76763 70336
Whatsapp (For Call & Chat)
+91 76763 70336
Exam & Certification
Do I need prior experience in analytics or data science to take the course or certification?
Not necessarily. Many entry-level data analytics certifications are designed for beginners and provide foundational training in statistics, Excel, SQL, and data visualization tools. However, some advanced certifications may require knowledge of data tools or programming (like Python or R).
How can a certification help me grow in the analytics industry?
A certification validates your skills and makes your resume more competitive. It shows employers that you’re serious about a data-driven career, increasing your chances of promotions, career switches, or breaking into data roles from other fields.
Does Data Analytics Certification Guarantee Jobs?
A certification does not guarantee a job, but it significantly improves your job prospects. It acts as a strong credential, especially when paired with a portfolio of projects, internships, or relevant work experience.
Benefits of Data Analytics Certification
Certified professionals often:
Stand out in job applications
Have access to higher-paying roles
Gain structured learning and industry-relevant skills
Show commitment to continuous learning
Build confidence in handling real-world data problems
Data Analytics Job Roles
Common job roles include:
Data Analyst
Business Analyst
Data Scientist (with further study)
Marketing Analyst
Financial Analyst
Operations Analyst
Data Engineer (with technical skills)
Can I Learn Data Analytics Without Coding?
Basic programming (e.g., SQL, Python) is highly beneficial but not always required. Many data analytics tools like Excel, Tableau, and Power BI allow you to analyze data effectively with minimal or no coding.
Exam & Certification
Do I need prior experience in analytics or data science to take the course or certification?
Not necessarily. Many entry-level data analytics certifications are designed for beginners and provide foundational training in statistics, Excel, SQL, and data visualization tools. However, some advanced certifications may require knowledge of data tools or programming (like Python or R).
How can a certification help me grow in the analytics industry?
A certification validates your skills and makes your resume more competitive. It shows employers that you’re serious about a data-driven career, increasing your chances of promotions, career switches, or breaking into data roles from other fields.
Does Data Analytics Certification Guarantee Jobs?
A certification does not guarantee a job, but it significantly improves your job prospects. It acts as a strong credential, especially when paired with a portfolio of projects, internships, or relevant work experience.
Benefits of Data Analytics Certification
Certified professionals often:
Stand out in job applications
Have access to higher-paying roles
Gain structured learning and industry-relevant skills
Show commitment to continuous learning
Build confidence in handling real-world data problems
Data Analytics Job Roles
Common job roles include:
Data Analyst
Business Analyst
Data Scientist (with further study)
Marketing Analyst
Financial Analyst
Operations Analyst
Data Engineer (with technical skills)
Can I Learn Data Analytics Without Coding?
Basic programming (e.g., SQL, Python) is highly beneficial but not always required. Many data analytics tools like Excel, Tableau, and Power BI allow you to analyze data effectively with minimal or no coding.
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Expert Trainer Support
Mock Interview Preparation
Placement Assistance
Career Oriented Sessions
Resume & LinkedIn Profile Building
Placement Assistance
Expert Trainer Support
Real-Time Problem Solving Personalized Coaching One-on-One Mentoring
Mock Interview Preparation
End-to-End Support • Interview Scheduling • Corporate Tie-Ups
One-on-One Mentoring
Tailored Career Advice • Continuous Support • Individual Growth Plans
Career Oriented Sessions
Goal-Based Training • Future-Ready Skills • Market Trend Insights
Resume & LinkedIn Profile Building
Professional Formatting • Keyword Optimization • Personal Branding
Placement Assistance
End-to-End Support • Interview Scheduling • Corporate Tie-Ups
Data Analytics Course FAQ's
Why should I learn Data Analytics at Cloud Institution?
At Cloud Institution, our Data Analytics course blends theory with hands-on practice. You’ll learn data visualization, SQL, Python, Excel, Power BI, Tableau, and advanced analytics techniques under the guidance of industry experts.
Who can join the Data Analytics course at Cloud Institution?
The Data Analytics course at Cloud Institution is suitable for:
Students & fresh graduates
IT & non-IT professionals
Business analysts
Managers & decision-makers
Anyone looking to switch to a data-driven career
What career opportunities are available after completing Data Analytics at Cloud Institution?
After training at Cloud Institution, you can explore roles like:
Data Analyst
Business Analyst
Data Scientist (with advanced skills)
Reporting Analyst
BI Developer
Do I need technical skills before enrolling for Data Analytics at Cloud Institution?
No prior technical background is required. At Cloud Institution, we start from fundamentals of statistics and Excel before moving to advanced tools like SQL, Python, and visualization platforms.
Is the Data Analytics training at Cloud Institution practical?
Yes. At Cloud Institution, the training is 100% practical, including real datasets, case studies, and projects that simulate actual business scenarios.
What makes Cloud Institution the best choice for Data Analytics training?
At Cloud Institution, you get:
Experienced trainers from the analytics industry
Hands-on training with tools like Power BI, Tableau, SQL, and Python
Real-time projects and case studies
Career guidance and interview preparation
Affordable fees and flexible schedules
Career Assistance
- Build a Powerful resume building for career success
- get trainer tips to clear the Interview
- Practice with mentors: Mock Interview for Success
- crack the Interviews land the job
Data Analytics Course FAQ's
What is data analytics?
Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract meaningful insights that support decision-making in businesses and organizations.
Who is this course for?
This course is ideal for beginners, working professionals, career changers, recent graduates, and anyone interested in understanding how to use data for insights. No prior experience is required.
Do I need to know how to code?
No, coding is not required to start.
The course often begins with tools like Excel and gradually introduces coding with Python or SQL for deeper analysis. You’ll learn everything step by step.
What tools will I learn in the course?
You’ll gain hands-on experience with industry-standard tools such as:
Microsoft Excel
SQL
Python or R
Tableau or Power BI
Google Sheets
Jupyter Notebooks
What topics are covered in the course?
Data collection and cleaning
Descriptive and inferential statistics
Data visualization
SQL and databases
Python or R for analytics
Predictive modeling basics
Dashboard creation
Real-world project implementation
What job roles can I apply for after completing the course?
You can apply for roles such as:
Data Analyst
Business Analyst
Junior Data Scientist
Reporting Analyst
Operations/Data Associate
Marketing Analyst
Career Assistance
- Build a Powerful resume building for career success
- get trainer tips to clear the Interview
- Practice with mentors: Mock Interview for Success
- crack the Interviews land the job
Our Students Successful Story
Our Students Successful Story
Need guidance? Talk to our career expert!
Get in touch with our program advisor & get your queries resolved.
Need guidance? Talk to our career expert!
Get in touch with our program advisor & get your queries resolved.