Data Analytics Certification Course Online
Your Career, Our Priority
Partnered With
- The Data Analytics Classes online are 180 hours long and designed for both IT and non-IT professionals, as well as students.
- Participants receive a certification from StarAgile upon completion, with a focus on six key tools of Data Analytics Certification with a 6 month internship
- Our data analytics course is taught by expert trainers from top MNCs and includes interview assistance, mock interviews, resume, and LinkedIn services.
- The training is delivered through live online classes as part of the Data Analytics course, including a career coaching session for personalized guidance.
- 4.7/5
- 4.8/5
Talk to a Consultant
Fill in the details to get started
Data Analytics With GenAI
Data Analytics Course – Key Features
- 180 hours of live online training with expert faculty.
- 6-month internship with live industry projects
- Master SQL, Python, R, Excel, Tableau, Power BI & AI Data Analytics.
- Real-world case studies and hands-on assignments.
- Career assistance with mock interviews, resume & LinkedIn optimization.
- Personalized career coaching sessions with mentors.
- Globally recognized Data Analytics Certification.
- Flexible online learning for IT & non-IT professionals and students.
Significant Demand Growth Since 2020
Annual Salary
Hiring Companies
Available Jobs
Let's walk you through the journey at StarAgile
Course Curriculum
- 4 Months
Our course is designed by industry experts for excellent academic and industrial experience. We have a balanced combination of theoretical, technical, and practical knowledge for you to get the best training experience for everyone regardless of their background.
Excel for Data Analytics
- Cell Referencing
- Aggregate Functions
- Logical Functions (IF, IFS, SWITCH, AND, OR)
- Statistical Functions (SUMIFS, AVERAGEIFS, COUNT, COUNTA, COUNTIFS)
- Excel Dynamic Tables
- Writing Formulas using Dynamic Tables
- Data Sorting
- Data Filtering
- Conditional Formatting
- Flash Fill
- PivotTables (Design Layout, Table Calculations, Calculated Field, Slicers and Timeline, Adding Calculated Columns)
- Exploratory Data Analysis (EDA)
- Working with Excel Charts (Components, Labels, Legends, Title)
- Different Types of Charts (Bar, Pie, Line, Combo, Heatmap)
- Dashboard (Add Multiple Charts on a Single Object, Create Multiple PivotTables, Add Number Cards, Add Multiple Slicers, Report Connections)
- Working with Lookup Functions (VLOOKUP, HLOOKUP, Match, Index, OFFSET)
- Function for Error Handling
- XLOOKUP Function
- Protect and Review (Protect Workbook, Protect Worksheet, Lock Cells, Allow Users to Edit Ranges)
- POWER QUERY (Load Data, Applied Step, Delete Duplicate Records, Remove Blank Rows, Remove Errors, Replace Values, Replace Errors, Pivot/Unpivot, Split Columns, Create New Columns by Patterns, Format from Text Columns, Extract from Text Columns, Text Functions, Number Functions, Date Functions, Append Queries, Merge Queries)
- POWER PIVOT (Data Modelling, Relationship 1:M, M:M, Create Power Pivot)
- Spill Over Functions (Sequence, SORT, UNIQUE, FILTER)
- Data Cleaning Functions (TEXTSPLIT, TEXTBEFORE, TEXTAFTER, TEXTBETWEEN)
- Dynamic Array Function (DGET, DCOUNT, DSUM, DAVERAGE, DMAX, DMIN)
Google Sheets for Data Management
- Google Sheets Fundamentals (formulas, functions)
- Data Validation and Conditional Formatting
- Data Filtering, Sorting, and Pivot Tables
- Collaboration and Sharing Features
- Google Apps Script for Automation (basics)
- Integration with Google Forms and Data Studio
Power BI
- Introduction to Power BI
- What is Business Intelligence (BI)
- The role of Power BI in Business Intelligence
- Key Benefits of Power BI
- Components of Power BI
- Architecture of Power BI
- Download and installation of Power BI Desktop
- Power BI Desktop overview & data sources
- Connecting data sources
- Data Modelling
- Tables and Matrix in Power BI (styles, formatting, measures)
- Creating simple & advanced charts (bar, pie, line, combo, waterfall, histogram)
- Working with Cards (numeric, text, dates)
- Filters in Power BI (visual/page/report level)
- Slicers & slicer properties
- Drill through & drill up/down
- Custom tooltips, bookmarks, page navigators
- Power Query: load & transform (applied steps, promote headers, remove rows/cols, split/merge columns)
- Append / Merge Queries, Unpivot Columns
- Data Analysis Expressions (DAX): concepts, syntax, measures vs calculated columns
- Key DAX: SUM, SUMX, CALCULATE, time intelligence (MTD/QTD/YTD), row & filter context
- Using measures and creating visuals
- Power BI Services: publish reports, workspaces, row-level security, gateway, schedule refresh
Data Visualization using Tableau
- Introduction to Tableau: dimensions & measures, data types
- Load data into Tableau, summarize data, conditional formatting, quick table calculations
- Basic visualizations: bar, pie, line, area, combo
- Advanced visualizations: hierarchies, treemap, scatter, donut, word cloud
- Filters: card filter, wildcard, top N, interactive filters, parameterized & context filters
- Actions & datasource filters
- Geographic charts: symbol map, filled map, multi-measure maps
- Dashboard & Story: layout, apply filters, action filters, dynamic titles, captions, present dashboards
RDBMS using SQL
- SQL SELECT statement: usage, expressions, aliases
- Filtering with WHERE, relational & logical operators (BETWEEN, IN)
- SORTING with ORDER BY (by column name/index, multiple columns)
- Aggregate functions: COUNT, SUM, MIN, MAX, AVG
- GROUP BY, HAVING, GROUP BY WITH ROLLUP
- Conversion & Date functions (DatePart, DateAdd, DateDiff, extract parts)
- Mathematical functions
- Multi-table queries & joins: INNER, LEFT, RIGHT, FULL, self-join, joins with more than 2 tables
- Subqueries: single-row, multi-row, multi-column, use with DML
- Set operators: UNION, EXCEPT, INTERSECT
- Window functions: aggregates, ranking (RANK, DENSE_RANK, ROW_NUMBER), OVER clause, PARTITION BY, ORDER BY
- Lead & Lag, FIRST_VALUE, LAST_VALUE, range framing
- Common Table Expressions (CTE): syntax, multi-CTE examples
- Views: create, alter, drop, advantages, modifying data through views
Python Programming
- Introduction to Python, install Python & PyCharm
- Statements, indentation, comments, naming conventions
- Variables, datatypes, numeric & string operations, slicing
- Control flow: if / elif / else, loops (for, while), range, nested loops
- Lists, tuples, sets, dictionaries: operations & methods
- File I/O: open, read, write, modes
- Exception handling: try/except/else/finally, raise, custom exceptions
- Functions, modules, packages (basic usage)
Python for Data Analytics with Visualization and Dashboards
- NumPy: operations, slicing, math functions, matrices, stacking arrays
- Pandas: Series & DataFrame (create, index, selection, loc/iloc), read/write CSV & Excel
- Data cleaning: dropna, replace, groupby, concat, merge, pivot-like transforms
- Vectorized operations & apply, handling missing values
- Data visualization with Matplotlib: plots, labels, legends, subplots, customizing
- Seaborn: scatter, line, bar, hist, kde, box/violin, pairplot, heatmap
- Combining Seaborn + Matplotlib, color palettes & themes
- Regular expressions (re module) and practical text parsing
Capstone Projects
- Sales Performance Analysis and Forecasting Using Excel — Domain: Business Analytics & Data Analysis
- Sales Analytics and Customer Insights Using Python — Domain: Business Analytics & E-Commerce
- Online Food Delivery Management System Using Power BI — Domain: Information Technology
Career Track
- 1 Month
Once you have enrolled for the program then you will have access to a wide range of resources which will help you in becoming a Job-Ready Candidate. We have a dedicated placement team of professionals who excel in their individual domains committed to assist you in our journey.
Profile & Resume Building →
One-to-One Career Planning →
Mock Interviews →
Profile & Resume Building
We help candidates build highly effective resumes that will help them secure jobs on the first attempt. We give you key points to add to the resume and help you stand apart from the crowd. Here is how we will help you:
- Resume structure and building
- Portfolio building
- Build a highly optimized cover letter
- Help you create your LinkedIn profile
$74,648
Average Package
30%
Average Hike
120%
Highest Hike
300+
Hiring Partners
150,000+
Careers transformed
Data Analytics Training Online Batches
Standard Plan
Covering basic requirements to crack certification.
- Live Interactive Training
- Additional Doubt clarification session
- Certificate from globally recognised StarAgile
- LMS access
- Session recording
- Complimentary courses
- 6+ tools covered
- 3 Months Internship Certificate
- Resume building session
- LinkedIn profile optimization session
- 3 Mock Interviews
- Career coaching 1-on-1
- Unlimited revision session
- Extra 10% discounts on next high level agile management certification
Save 44%
₹213,640 ₹384,705
StarX Plan
Get ready to crack certification with advanced preparation
- Live Interactive Training
- Additional Doubt clarification session
- Certificate from globally recognised StarAgile
- LMS access
- Session recording
- Complimentary courses
- 6+ tools covered
- 3 Months Internship Certificate
- Resume building session
- LinkedIn profile optimization session
- 3 Mock Interviews
- Career coaching 1-on-1
- Unlimited revision session
- Extra 10% discounts on next high level agile management certification
Save 40%
₹256,385 ₹ 427,450
- 4 Months
- 4 Months
Corporate Training
The work force is your asset. Up-Skill them with our Corporate Training Programs!
- Unleash In-Demand Skills Across the Enterprise
- Align Skill Development with Business Objectives
- Drive Increased Employee Productivity
- Leverage Immersive Learning
- Best Seller
What is Data Analytics Course: Overview
A data analytics program helps you build capabilities to examine data, uncover meaningful patterns, and guide business decisions. The curriculum typically includes essential topics such as SQL, Excel, Python, statistical methods, and creating visual representations of data.
Course formats and features
- Interactive Online Sessions: StarAgile’s data analytics training offers live, instructor-led classes with scheduling options that fit your routine.
- Practical Learning Approach: The program emphasizes real application through hands-on exercises, industry case studies, and actual project work.
- Comprehensive Support: Participants receive guidance from experienced instructors, dedicated mentors, and teaching assistants throughout their learning journey.
- Career Development Services: The course includes professional support such as resume enhancement and practice interview sessions to prepare you for the job market.
- Training for All Levels: Whether you’re starting fresh or looking to develop specialized expertise, the program accommodates learners at different stages with Beginner-friendly training and Specialized skill-based training paths.
This data analytics certification course delivers hands-on training in industry-standard tools, giving you practical skills valued across sectors.
It includes real-world case studies taught by experienced professionals, ensuring you understand the practical applications of data analytics.
Upon completion, you will receive the data analytics classes online along with a 6-month internship certificate, boosting your job readiness.
The flexible programs allow you to learn at your own pace while interacting with experts and mentors.
Gain proficiency in SQL, Python, R, and Tableau – essential skills for solving complex data challenges in a data-driven environment.
Data Analytics Course Completion Certificate
- Internship Certificate
- Course Certificate
- Microsoft Certificate
Skills Covered
- Data Analytics Fundamentals
- Data Visualization with Tableau & Power BI
- Excel for Data Analytics & Dashboards
- Google Sheets for Data Management & Automation
- SQL for Data Analysis (Joins, Sub-queries, Window Functions)
- Python Programming Basics & Data Structures
- Data Analysis with Numpy & Pandas
- Data Cleaning & Transformation (Excel, Power Query, Python)
- Data Visualization using Matplotlib & Seaborn
- Regular Expressions for Data Processing
- SQL for Data Analysis (Joins, Sub-queries, Window Functions)
- Python Programming Basics & Data Structures
Tools Covered
Capstone Projects
Business Analytics and Data Analysis
Tackle a real-world business challenge by analyzing large volumes of sales data to uncover key trends, high-performing products, and seasonal demand shifts. Build an interactive Excel dashboard and apply models to help businesses make data-backed decisions for future growth.
Business Analytics and E-Commerce
Work with real-world e-commerce data to identify customer purchase patterns, popular product categories, and emerging Using Python, Pandas, and visualization libraries, generate actionable insights and predictive models that enable smarter marketing and inventory strategies.
Information Technology
Design a powerful, interactive Power BI dashboard to monitor order volumes, delivery timelines, customer ratings, and revenue performance. Gain hands-on experience in creating KPIs and visual reports that empower food delivery businesses to optimize operations and enhance.
Course Reviews
Akash Joseph
Business Analyst (BA)
Verified Learner
The way of explaining the process and the traning program along with their mentors is excellent, it was fun learning and very good
5/5
11th Nov, 2025
Kapil Nilekar
Product Analyst
Verified Learner
Was great learning experience ...!
5/5
9th Nov, 2025
Ponnathi Gowtham
BI Analyst
Verified Learner
TRAINING AND MENTORING SESSIONS WERE USEFUL CONCEPTS ARE CLEAR PROGRAM IS WELL STRUCTURED CAPSTONE PROJECTS WERE ALSO SO MUCH HELPFUL.
5/5
9th Nov, 2025
Susha Rani B T
Digital Analytics Analyst
Verified Learner
A good platform starts our learning journey. Mentor and trainer guidance and quick response from StarAgile team as well.. useful links and study materials are helping us to get more knowledge on tools and attending quizzes will get to know our mistakes and correct answers for any question.
5/5
1st Nov, 2025
Ankur Dutta
Product Analyst
Verified Learner
I had a great experience during my training. The institute provides an excellent learning environment with well-structured sessions and up-to-date course materials. The trainers are highly knowledgeable, supportive, and always ready to clarify doubts. Their practical approach and real-world examples made the concepts easy to understand. Overall, it’s a great place to gain both theoretical and hands-on knowledge. Highly recommended!
4/5
27th Oct, 2025
Sami Ahmed
Data Analyst
Verified Learner
i will be giving the genuine review as per my training went . The content staragile taught gave me the basic idea to start everytool but there is lot more to do to get a job ..... that's it rest all is well they taught well and they took classes well but we can do more.... and i didnt like the time the staragile took to complete the whole traing they took 4 months but in reality we can complete this in 3 months only this wasted my one month and we dont need 4 mentoring session only 2 is enough and we dont need only four training session we can handle 5 per week
4/5
22nd Oct, 2025
Mohan Reddy
Operations Analyst
Verified Learner
The course training was very well-structured and interactive. The instructors explained the concepts clearly and made learning engaging. Adding a few more real-time use cases in future sessions would make the already excellent training even more impactful.
4/5
17th Oct, 2025
Data Analytics Classes Online - FAQs
What are the eligibility requirements for enrolling in the Data Analytics course?
To enrol in the data analytics certification, candidates only need a bachelor’s degree in any field, making the course open to both IT and non-IT professionals, as well as students looking to switch careers or upskill in a data analytics course. While some familiarity with statistics or Excel can be helpful, it’s not a requirement to get started.
Who are the instructors for the data analytics training?
The instructors for the data analytics are highly experienced professionals with backgrounds in leading MNCs and practical, real-world experience. They bring expertise in various areas of data analytics, including machine learning, data wrangling, and predictive analytics. Their practical knowledge helps you connect theoretical concepts with real-world applications, ensuring you gain a deep understanding of how the data analytics classes online functions in professional environments.
What is the format of the Data Analytics classes (online or in-person)?
The data analytics certification is offered in a live online format. This adaptable format lets you study wherever you are without being cut off from live, interactive courses. You have the opportunity to interact with instructors and students in real time, pose questions, participate in discussions, and access materials on your own schedule. It's made to be fully integrated into the hectic lives of working professionals looking for data analytics training online through flexible data analytics classes online.
How long is the Data Analytics course, and what is the schedule?
The data analytics certification course spans 180 hours. The schedule is built to suit both professionals and students, with options available on weekdays and weekends. This flexibility lets you pick times that work best for you while still covering key topics like data preprocessing, data cleaning, and predictive modeling, making it one of the best data analytics programs for career-focused learners.
What types of projects will I work on during the data analytics training online?
Throughout the data analytics classes online, you'll be working on real case study projects and assignments that simulate real-world data analysis issues. These also will be capstone projects in areas like Salesforce analytics and Tableau, building a strong portfolio. These projects will give you the skills you need in data visualization, machine learning, and data-driven decision-making, preparing you for industry-specific work in data analytics online programs
What are the eligibility requirements for enrolling in the Data Analytics course?
To enrol in the data analytics certification, candidates only need a bachelor’s degree in any field, making the course open to both IT and non-IT professionals, as well as students looking to switch careers or upskill in a data analytics course. While some familiarity with statistics or Excel can be helpful, it’s not a requirement to get started.
Who are the instructors for the data analytics training?
The instructors for the data analytics are highly experienced professionals with backgrounds in leading MNCs and practical, real-world experience. They bring expertise in various areas of data analytics, including machine learning, data wrangling, and predictive analytics. Their practical knowledge helps you connect theoretical concepts with real-world applications, ensuring you gain a deep understanding of how the data analytics classes online functions in professional environments.
What is the format of the Data Analytics classes (online or in-person)?
The data analytics certification is offered in a live online format. This adaptable format lets you study wherever you are without being cut off from live, interactive courses. You have the opportunity to interact with instructors and students in real time, pose questions, participate in discussions, and access materials on your own schedule. It's made to be fully integrated into the hectic lives of working professionals looking for data analytics training online through flexible data analytics classes online.
How long is the Data Analytics course, and what is the schedule?
The data analytics certification course spans 180 hours. The schedule is built to suit both professionals and students, with options available on weekdays and weekends. This flexibility lets you pick times that work best for you while still covering key topics like data preprocessing, data cleaning, and predictive modeling, making it one of the best data analytics programs for career-focused learners.
What types of projects will I work on during the data analytics training online?
Throughout the data analytics classes online, you'll be working on real case study projects and assignments that simulate real-world data analysis issues. These also will be capstone projects in areas like Salesforce analytics and Tableau, building a strong portfolio. These projects will give you the skills you need in data visualization, machine learning, and data-driven decision-making, preparing you for industry-specific work in data analytics online programs
Distinctions and Achievements
Explore the milestones of our journey!
Best Skill Learning Institute of the Year
The Education Excellence Award by Brands Impact
Edutech Company of the Year
The Education Awards by The Corporate Titan
Institute with the Best Placement
The Education Awards by Mantra
About Data Analytics Certification Course
What are the Eligibility and Prerequisites of Data Analytics
To enroll in the data analytics certification, all you need is a bachelor’s degree in any discipline.
These data analytics classes online benefit IT and non-IT professionals, as well as students seeking to move into data-driven careers.
No prior experience in data analytics is required; however, familiarity with Excel and basic statistics will be helpful.
Our data analytics classes online are ideal for those pursuing careers in analytics, business intelligence, or any role involving data-based decision-making.
Completing the program positions you for the data analytics classes online, enhancing your employability in a rapidly growing industry.
What are the Data Analytics Course Benefits with StarAgile
At StarAgile, our data analytics training online combines foundational knowledge with real-world applications. You’ll learn to clean, transform, and model data to uncover insights, support decision-making, and address business challenges.
In today’s market, mastering skills such as statistical analysis, predictive modeling, visualization and machine learning is critical. This data analytics training certification equips you with both theoretical understanding and practical capabilities.
Here’s how we ensure you gain maximum benefit from the data analytics classes online:
1. Industry-Leading Trainers
Our instructors have years of experience with top MNCs, giving you real-world insights. The data analytics certification online provides practical exposure to industry scenarios, helping you excel in analytics roles.
2. Comprehensive Curriculum
The data analytics course covers Excel, SQL, Python, AI Data Analytics, R, Power BI, and Tableau. From data collection to predictive modeling, you’ll be prepared to handle diverse analytics projects. This is why we’re known for delivering the best data analytics training in the market.
3. Hands-On Internship
The 6-month internship included in our data analytics classes allows you to work on live projects, building job-ready skills employers seek in candidates with the data analytics classes online.
4. Career Assistance
We provide mock interviews, resume optimization, LinkedIn profile enhancements, and one-on-one coaching—everything needed to succeed after completing your course.
5. Global Recognition
Our certification is respected by leading employers worldwide, ensuring your skills stand out in the competitive market.
What’s Included in the Data Analytics Course?
1. Live Online Classes – Interactive, instructor-led data analytics online sessions that combine theoretical concepts with practical demonstrations. Learn directly from experienced trainers while engaging in real-time discussions.
2. Practical Assignments & Case Studies – Data analytics online module includes exercises based on real-world scenarios. You’ll analyze datasets, create dashboards, and apply tools to solve practical business problems.
3. 6-Month Internship – Gain industry exposure through our data analytics program internship, where you work on live projects to build real-world experience and strengthen your portfolio.
4. Personalized Career Assistance – Our data analytics classes include resume building, LinkedIn profile optimization, and mock interviews to help you stand out in the job market.
5. Certification – Receive a data analytics certification from StarAgile upon completion, recognized globally and valued by top employers.
Comprehensive Training Solutions for Enterprises
Comprehensive training solutions to empower enterprises with skills needed for growth and innovation. Tailored programs to boost productivity and improve workforce capabilities.
Curriculum Designed to Fit Your Organization
Immersive learning experience that blends theory with practical application.
Results-driven learning journeys to the empower your team
Learning Pathways tailored to the specific needs of each role.
Equip your workforce with the skills required to thrive in future.
People also viewed courses like
Data Science
Data Science Course
- 11233 Enrolled
- 6 Months
From ₹120,000
₹ 99,999
Next Schedule November 27, 2025
This course has served
3,00,000+
Professionals Trained
hndhn
fgnfnf
hndhn
fgnfnf
100%
Success Rate
100+
Countries
