Data Analysis Course – Data Analyst Certification [English]
Get the best out of data with our Data Analyst course! In weeks, you’ll learn tools like Excel, SQL, and Power BI, do real-world projects, and build a portfolio, skills, and confidence that will get you noticed. You will become a job-ready professional in the upskilling field of Data Analyst, whether you are just getting started or looking to upskill.
What will you take home from this Data Analyst Course?
- 55+ hrs self-paced expert-led course
- 135+ hrs of comprehensive study material
- 110+ hrs of real-world practicals
- 65+ Interactive quizzes & assessments
- 490+ Interview questions for top MNCs
- 80+ Real-time implementation
- 160+ Practical Examples
- 98% Positive reviews from learners
- 45+ Comprehensive assignments
- 30+ Real-time industry case-studies
- 170+ Data analysis tutorials
- 1:1 Career counselling with expert
- Practical knowledge which industry needs
- Industry-renowned certification
Your Data Analyst Journey Starts Here — Enroll Now
Master Data Analyst from Scratch
Join our hands-on Data Analyst course crafted by industry veterans and build real-world skills. It’s not just a course, it’s a job-ready bootcamp.|
Start Anytime (self-paced) |
Duration 55+ Hrs |
Access Duration 2 Years |
Price |
Enroll Now |
| Course + Lifetime Course Access + Job Assistance (Resume Prep + Interview Prep + Mock Interview + Internship + Job/Placement Prep + Additional Real-time Projects + LOR) | Enroll Now | |||
Why should you enroll in this Data Analyst Course?
- This course uses tools that don’t require coding knowledge, like Excel and Power BI, making it perfect for beginners
- Every industry needs data analysts. You can work in marketing, healthcare, retail, or finance with these skills
- Data is the backbone of decision-making. Learn skills that will always be in demand
- Forget theory-heavy lessons—this course focuses on real-world projects and applications
- Data Analysts are the backbone of decision-making in every industry
- Master essential tools to transform raw data into actionable insights
Data Analyst Course Objectives
- Master Essential Tools and Technologies
- Develop Statistical and Analytical Thinking
- Learn Data Visualization and Reporting
- Work with Real-World Datasets
- Explore Domain-Specific Applications
- Understand Advanced Data Analysis Concepts
- Enhance Problem-Solving Skills
- Foster Continuous Learning
- Understand the basics of data analysis in a simple, beginner-friendly way
- Learn to use non-programming tools like Excel and Power BI to analyse and visualise data
- Work on practical projects to develop job-ready skills
- Build a portfolio to showcase your abilities to potential employers
- Learn how to present data insights in an easy-to-understand format
Why should you learn Data Analysis?
- Step Into the Data Era: With businesses relying on data more than ever, your skills will be highly valuable.
- No Programming Required: You’ll learn tools like Excel, SQL, and Power BI that are easy to use and don’t need coding expertise.
- Practical, Real-World Learning: Work on projects that mimic real business challenges, helping you build skills you can apply immediately.
- High-Demand Skills: Data Analysts are in demand everywhere—this Data Analyst course prepares you for those opportunities.
What is Data Analysis?
Data Analysis is making sense of data to solve real-world problems. Imagine transforming messy spreadsheets into clear insights businesses use to make decisions—this is what data analysis is all about.
You don’t need coding skills or programming knowledge to start; this Data Analyst course will teach you how to analyse data step by step. Fun fact: By 2025, companies worldwide will generate over 180 zettabytes of data and need people like you to help them understand it! Data analysis is your gateway to an exciting and rewarding career, from identifying trends to creating easy-to-understand visuals.
What to do before you begin?
You don’t need programming knowledge to join this Data Analyst course! We ensure smooth learning for you all.
Here’s what you need to get started:
- Basic Computer Knowledge: You’re already prepared if you can browse the internet or use tools like Word and Excel.
- Analytical Thinking: Data analysis will be fascinating if you enjoy solving puzzles or finding patterns.
- Basic Math Skills: Understanding simple mathematical concepts like averages, percentages, and statistics is enough.
- Eagerness to Learn: A curious mind and a willingness to explore new ideas are all you need.
Good News! Even if you feel unsure about these prerequisites, our Data Analyst course is designed with beginners in mind. From fundamentals to advanced topics, we’ve got you covered. All you need to bring is your enthusiasm to learn; we’ll take care of the rest!
Who should go for this Data Analyst course?
The Data Analyst course is designed for anyone who wants to learn about data. Whether you’re a beginner or looking to upskill, this course is for you.
- Students and Fresh Graduates
- Career Switchers
- Working Professionals
- Entrepreneurs and Small Business Owners
- Freelancers and Aspiring Consultants
- Anyone Curious About Data
By enrolling in our Data Analyst course, you can expect the following benefits:
- Easy to Use: It is made for those who are not programmers, thus anyone can use the tool.
- Practical Experience: Project-based learning to prepare you for real directions.
- Tools Used in the Industry: Learn Excel, Power BI, and SQL — no coding required!
- Career Versatility: Your skills are transferable to marketing, healthcare, etc.
- Professional Certificate: Showcase your expertise with a certificate upon completion.
Jobs after Learning this Data Analyst Course
After completing this Data Analyst course, there are many high-paying, in-demand career opportunities across various industries. Exciting job roles you can pursue:
- Data Analyst
- Business Analyst
- Financial Analyst
- Marketing Analyst
- Operations Analyst
- Product Analyst
- Freelance Data Consultant
- Data Visualization Specialist
- Risk Analyst
Our students are working in leading organizations
Online Data Analyst Training Course Curriculum
- Introduction to SQL
- Purpose of SQL
- Explore how SQL is used in real-world scenarios
- What is a Database Management System (DBMS)?
- What is a Relational Database Management System (RDBMS)?
- DBMS vs. RDBMS
- Database vs. Database Server
- What is a Database Server?
- Client-Server Architecture
- Installing MySQL
- Formula Writing Techniques
- Sum Functionality
- Basics of the SUM function
- Introduction to advanced functions like SUMIF and SUMIFS.
- Concepts of IF, Range, and Criteria with practical examples.
- What are SQL Commands?
- Types of SQL Commands:
- MySQL Data Types:
- DDL Commands
- DML Commands
- Installing SQLyog and Using MySQL Workbench
- Relational Operators: BETWEEN, IN, and LIKE
- Aggregate Functions: sums, averages, counts
- Nested Queries
- ORDER BY Clause
- GROUP BY and HAVING Clauses
- SQL Aliases
- What are Constraints?
- Using Constraints in MySQL
- NULL Values: IS NULL and IS NOT NULL.
- Primary Key and Foreign Key
- CHECK and DEFAULT Constraints
- Auto Increment and NULL Functions
- What are Joins in SQL?
- Types of Joins: inner, left, right, full, and outer joins.
- Fetch records from multiple tables to answer complex queries.
- What is Business Intelligence, and why is it essential?
- What is Power BI?
- Business Intelligence Tools
- Setting Up Power BI: Step-by-step guide to downloading and installing Power BI Desktop.
- Architecture and Components
- Power BI ecosystem: Desktop, Service, and Mobile.
- Power BI Desktop
- Connecting to Data Sources
- Types of data sources supported by Power BI.
- Importing Data
- Step-by-step process for importing data from flat files like Excel and CSV.
- Connecting to relational databases such as SQL Server and MySQL.
- Introduction to Power Query
- Transforming Data
- Managing Data Sources
- Designing a Data Model
- Understanding fact and dimension tables.
- Creating relationships with one-to-many and many-to-many cardinality.
- Why DAX is essential for advanced data analysis.
- Understanding syntax, functions, and context in DAX.
- Creating calculated columns and measures for dynamic calculations.
- Using DAX for table, text, and time intelligence functions (YTD, QTD, MTD).
- Advanced DAX Features
- Starting with Reports
- Importing data and building your first Power BI report.
- Adding visual elements like charts and graphs for clarity.
- Visualizations
- Advanced Features
- Sorting, slicing, and filtering data for better insights.
- Interactive Visuals and AI Features
- Using drill-down and drill-up to explore data.
- Publishing Reports
- How to share your reports via the Power BI Service
- Ensuring secure collaboration with stakeholders
- Workspace Setup
- Creating and configuring workspaces for team collaboration.
- Workspace Apps
- Dashboard Basics
- Building your first dashboard in Power BI.
- Adding and arranging visuals for clarity.
- Customizing Dashboards
Features of Data Analyst Course
Data Analyst Online Training FAQs
This Data Analyst course is designed to teach you the fundamentals of data analysis, equipping you with the skills to collect, clean, analyze, and visualize data. It covers industry-standard tools like Excel, SQL, Power BI, and real-world projects.
Whether you’re a student, working professional, entrepreneur, or someone switching careers, this Data Analyst course is perfect for anyone looking to enter the high-demand field of data analysis.
No prior experience is required! Basic computer knowledge and an eagerness to learn are all you need. The Data Analsyt course is beginner-friendly, and we’ll guide you step by step.
Absolutely! This Data Analyst course equips you with skills to transition into data analysis from any field.
You’ll work on real-world datasets and projects, such as sales trend analysis, customer behavior analysis, creating dashboards, and predicting future trends using statistical methods.
This course prepares you for roles like Data Analyst, Business Analyst, Data Scientist, Financial Analyst, Marketing Analyst, and many more across various industries like technology, healthcare, and finance.
The Data Analyst course is self-paced, so you can complete it in approximately 8–10 weeks, depending on how much time you dedicate daily. You can learn at your own pace without compromising your current commitments.
Yes! Upon completing the course, you’ll receive a verifiable certificate, which you can showcase on your resume, LinkedIn, or portfolio.
It’s specifically designed for non-programmers, with hands-on learning and tools that are easy to use.
This Data Analyst course is designed with a hands-on, practical approach, focusing on real-world applications and job readiness. You won’t just learn tools; you’ll gain the confidence to solve real business problems and showcase your skills to potential employers.
