Learn how to clean data, query it with SQL, analyze it in spreadsheets, and present findings through dashboards and reports. This online Data Analytics course covers Excel-style analysis, SQL, Power BI awareness, statistics basics, and business interpretation so you can work toward analyst roles with real project output.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
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Learning analytics is only half the job. The other half is showing employers that you can clean data, write queries, explain a chart, and support decisions without getting lost in theory. Inventateq’s placement support is built around that gap, so you move from classwork to interview-ready proof in a structured way.
Support starts while you are still learning the syllabus. As you complete spreadsheet, SQL, and dashboard exercises, you get help turning them into interview talking points, a cleaner resume, and project evidence that matches analyst-style hiring.
Analytics hiring in India spans IT services, retail, finance, operations, e-commerce, and reporting teams in SMEs. Pay usually rises with stronger SQL, dashboarding, and business problem-solving ability, not just years on paper.
Data Analytics Average Salary by Experience
Analytics hiring in India spans IT services, retail, finance, operations, e-commerce, and reporting teams in SMEs. Pay usually rises with stronger SQL, dashboarding, and business problem-solving ability, not just years on paper.
Data Analytics Average Salary by Experience
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Inventateq has supported learners across practical, job-focused training formats and keeps its teaching approach centered on usable outcomes. For Data Analytics online learners, that means the course stays tied to spreadsheets, SQL, reporting, and dashboard work instead of drifting into abstract theory.
We stand apart through our commitment to:
Attend live, instructor-led classes from anywhere with the same hands-on structure as our classroom batches. Follow along step-by-step, get real-time doubt support, and revisit recordings whenever you need to.
Learners who want an entry route into analyst and reporting roles.
People moving from admin, operations, or support work into data roles.
Those who want practical reporting and decision-making skills.
Anyone already handling reports who wants stronger SQL and dashboard skills.
Professionals shifting into analytics with no prior formal data background.
Learners who want guided practice instead of scattered tutorials.
Weekly structure: Lessons move from foundations to reporting, with a clear step-by-step order.
Online access: Attend live from anywhere and keep pace with the batch schedule.
Practice time: Assignments are designed around spreadsheet and SQL tasks, not just slides.
Project phase: Later sessions shift into case study and portfolio work.
4.7 Star Rating from 1,432+ Google Reviews
Rated 4.9/5 by AI Students
Companies want people who can read data and explain what it means, not just store it. That keeps demand steady across operations, sales, finance, support, and marketing teams, especially for learners who can combine SQL, spreadsheet analysis, and dashboard thinking.
By the end of the course, learners can work through a full data workflow without guessing at the next step. They gain practice in cleaning, querying, interpreting, and reporting so they can talk about data with more confidence.
You learn how to clean missing values, duplicates, formatting issues, and outliers before analysis begins. That makes your reports more reliable and easier to explain.
You practice filtering, grouping, joins, and aggregate logic for business questions. This is the kind of work that shows up in analyst tests and reporting jobs.
You use formulas, pivot tables, lookup functions, and summaries to organize large files. The aim is to make spreadsheet work fast, accurate, and easy to audit.
You learn how to choose charts that fit the message and the dataset. That helps you present trends, comparisons, and exceptions without confusing the audience.
You connect metrics to business decisions instead of stopping at the chart. That skill matters in MIS, reporting, and analyst interviews.
You complete an end-to-end workflow that can be discussed in interviews. The final output shows process, assumptions, calculations, and recommendations.
Yes. The syllabus starts with analytics foundations and then moves into spreadsheets, SQL, cleaning, statistics, visualization, and reporting. That order helps beginners build the basics first instead of getting pushed straight into tools without context.
You will. The course includes spreadsheet analysis, SQL workflows, data cleaning, dashboard thinking, and a real project workflow. Those are the parts that matter when you need to show actual work in interviews.
Yes, placement support is part of the training flow. It focuses on resume guidance, mock interviews, portfolio work, and role preparation for analyst and reporting positions. The support is designed to match the skills taught in the course.
Yes, non-technical learners can join if they are willing to practice regularly. The course does not begin with advanced programming; it starts with analysis logic, spreadsheets, and business reporting before moving into SQL and BI awareness. That makes it workable for learners from commerce, management, operations, and support backgrounds.
Yes, this page is for the online format. You can attend live sessions from your location and follow the same syllabus progression as classroom learners. That makes it easier to study without relocating or commuting.
The curriculum is spread across a clear module sequence, from foundations to real project work. Exact pacing depends on the batch format and how quickly the class moves through practice, but the structure is built to cover the main analyst skills in an organized way rather than in isolated short lessons.
The syllabus points to spreadsheet tools, SQL, and BI reporting tools such as Power BI or similar platforms. Those are the main tools used to clean data, query records, build summaries, and create dashboards for business teams.
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General guides and insights for this course category.
Data Analytics Tutorials and Guides. Data analytics tutorials. Learn Data Analytics with Inventateq's trainer-led course, hands-on projects, certification guidance and placement support.
Learn moreInventateq offers classroom training across multiple locations. Explore the branch nearest to you and check available batch timings.
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