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 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.
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 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




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
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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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Exclusive access to Job portal
Mock Interview Preparation
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Career Oriented Sessions
Resume & LinkedIn Profile Building
Placement Assistance
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
- Regular 1:1 Mentorship from Industry Experts
- Career support
- Live Classes
Need guidance? Talk to our career expert!
Get in touch with our program advisor & get your queries resolved.
