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How to Start Learning Data Analytics from Scratch in Indore?

Data analytics has become one of the most in-demand career paths across industries such as IT, finance, healthcare, e-commerce, and consulting. The good news is that you do not need a technical background to start learning data analytics. With the right guidance, structured learning, and hands-on practice, anyone can build strong analytics skills.

If you are based in Indore and wondering how to begin your data analytics journey from scratch, this guide explains the step-by-step approach and where you can get the right training.


Illustration of a man at a laptop and a woman presenting data, promoting data analytics at IOTA Academy in Indore. Text highlights courses.

Can Beginners Learn Data Analytics?


Yes. Data analytics is one of the few tech domains where learners from technical as well as non-technical backgrounds can successfully build careers. What matters most is:


  • Logical thinking and curiosity about data

  • Willingness to practice with real datasets

  • Structured learning instead of random tutorials

  • Mentorship and guidance


A beginner-friendly program helps you move from fundamentals to real-world analytics applications without feeling overwhelmed.


Step 1: Start with Strong Foundations


When learning data analytics from scratch, the first step is understanding how data works and how it is used to make decisions.

At IOTA Academy, the data analytics program begins with the basics and gradually builds confidence.


You start by learning:

  • What data analytics is and how it is used in businesses

  • Types of data and data sources

  • Basic concepts of databases and reporting


This foundation ensures clarity before moving into tools and techniques.


Step 2: Learn Core Data Analytics Tools


Once the basics are clear, the next step is learning the tools used by data analysts in real jobs.


At IOTA Academy, beginners are trained in:


Excel for Data Analysis

You learn how to clean data, use formulas, analyze trends, and create reports using Excel. This forms the base of analytics work.


SQL for Data Handling

SQL is essential for extracting data from databases. The training covers writing queries, filtering data, joins, aggregations, and real database scenarios.


Power BI for Data Visualization

Power BI is used to turn data into dashboards and visual insights. You learn how to build interactive dashboards and present insights clearly.


Python for Data Analytics

Python is introduced in a beginner-friendly manner, focusing on data analysis libraries and practical use cases rather than complex programming.

Each tool is taught with hands-on practice so learners understand how these tools work together in real analytics workflows.


Step 3: Work on Real-World Data Analytics Projects


Learning tools alone is not enough. Real growth happens when you apply concepts to real data.

IOTA Academy emphasizes project-based learning, where beginners work on:


  • Sales and revenue analysis

  • Customer and business performance dashboards

  • Trend analysis and reporting

  • Data cleaning and transformation projects


These projects help learners think like data analysts and prepare them for interviews.


Step 4: Learn from Experienced Mentors


One of the biggest challenges beginners face is getting stuck without guidance. At IOTA Academy, training is conducted through live instructor-led sessions, where learners can:


  • Ask questions in real time

  • Understand concepts through practical examples

  • Get feedback on assignments and projects

  • Learn industry best practices


Mentors focus on concept clarity, logical thinking, and real-world application rather than rote learning.


Step 5: Get Career and Placement Support


For most learners, the goal of learning data analytics is to secure a job. IOTA Academy supports beginners with:


  • Resume building focused on analytics roles

  • Interview preparation sessions

  • Mock interviews and feedback

  • Career guidance and placement assistance


This structured support helps learners transition confidently from training to employment.


Who Should Start Learning Data Analytics?


The data analytics program at IOTA Academy is suitable for:


  • Students and fresh graduates

  • Non-technical professionals switching careers

  • Working professionals upskilling

  • Anyone interested in data-driven roles


No prior coding or analytics experience is required.


Learning Options in Indore


IOTA Academy offers:

  • Classroom-based data analytics training in Indore

  • Live online sessions with the same curriculum and mentorship


This flexibility allows learners to choose the learning mode that fits their schedule.


Conclusion


Starting data analytics from scratch may seem challenging, but with the right learning path, it becomes structured and achievable. If you are in Indore and want to build a strong foundation in data analytics, IOTA Academy provides a beginner-friendly, practical, and career-focused learning experience.

With hands-on projects, expert mentorship, real-world tools, and placement assistance, IOTA Academy helps learners move from zero knowledge to job-ready analytics skills.

Ready to begin your data analytics journey in Indore?

Enroll in IOTA Academy’s Data Analytics Program and start learning with real projects, live guidance, and career support designed for beginners.

 

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