Data Analysis Fundamentals in Alwar | Fuel

WHAT YOU'LL LEARN

Build skills you can put to work.

Start analysing data with confidence. Learn spreadsheet-based data cleaning, summaries, charts and practical insights from the ground up, with an introduction to responsible AI-assisted analysis. No prior data analysis experience is required. Learning includes structured instruction and practical work. Outcomes depend on individual effort, course completion and other factors.

Detailed curriculum

01 · Data and Useful Questions

What data is and where everyday business data comes from
Turn a broad topic into a clear, answerable question
Understand rows, columns, fields and basic data types

02 · Spreadsheet Essentials

Navigate workbooks, sheets, cells and tables
Enter, format and organise data consistently
Sort and filter records to find the information you need

03 · Cleaning and Preparing Data

Spot blanks, duplicates and inconsistent values
Standardise dates, categories and text fields
Use beginner-friendly formulas to check and prepare a dataset

04 · Summaries and Comparisons

Calculate totals, counts, averages and percentages
Compare results across categories and time periods
Use simple PivotTables or equivalent summaries to explore patterns

05 · Charts and Clear Reporting

Choose a chart that fits the question
Create a simple, readable report or dashboard
Use labels, titles and comparisons to make results easy to understand

06 · Business Measures and Interpretation

Explore common measures such as sales, costs and conversion
Separate an observed result from a possible explanation
Notice limits in small or incomplete datasets

07 · Data Quality and Responsible Use

Check calculations and trace results back to source data
Protect private information and share data carefully
Recognise bias, missing context and misleading visual choices

08 · Practical Analysis Project

Clean and analyse a sample business dataset
Create a small set of useful summaries and charts
Present findings, caveats and a practical next question

09 · AI-Assisted Analysis: A Safe Introduction

Use an AI assistant to brainstorm questions to investigate in a dataset
Ask for plain-language explanations of spreadsheet formulas and chart options
Use AI to draft possible summaries, then verify every claim against the actual data
Avoid sharing personal, confidential or sensitive data with unapproved AI tools
Recognise that AI can make mistakes, miss context or suggest misleading conclusions

Who is this for?

Students, graduates, job seekers, professionals and business owners in Alwar and nearby communities who are interested in the subject. Contact us to confirm your goals, prerequisites and current course availability.

Career paths this course can support

These are example roles learners may work toward with further practice, experience and qualifications. Completing this course does not guarantee employment.

Data Analyst Trainee
MIS Assistant
Reporting Assistant
Operations Data Assistant

Frequently asked

Do I need prior experience?+

Some courses are suitable for beginners. Contact us about prerequisites for the current program.

Does this course guarantee a job or income?+

No. The course is designed for learning and practical application; outcomes vary by learner and other factors.

When does the next batch start?+

Contact our team for current batch schedules and availability.