study analytics

Your Analytics Career Starts Here

Learn with
Deepu malik

Learn job-ready skills from an expert with 20+ years of real-world analytics experience.

Built for beginners and career switchers — no prior tech background needed.

Why Choose Study Analytics

Start strong. Stay focused. Get results

Learn from an Industry Expert

Get coached by a professional with 20+ years in analytics...
Outcome: You learn what actually matters on the job.

Beginner-Friendly Curriculum

No jargon. No fluff. Just clear, step-by-step learning...
Outcome: You build confidence and momentum from day one.

Real-World Projects

Work on real case studies & dashboards...
Outcome: You don’t just learn — you prove what you can do.

Resume & Interview Prep

Build a great resume, LinkedIn profile...
Outcome: You become interview-ready with clarity and confidence.

Guest Lectures

Hear from global experts on tools, trends, and analytics...
Outcome: You gain industry insights beyond the curriculum.

Access to Analytics Community

Join a learning network...
Outcome: Stay motivated and never learn alone.

Why Choose Your Career Track

Business Analyst

Business/Data Analyst Path

Ideal for freshers and career switchers with no tech background.

Learn Excel, SQL, and Power BI to analyze real business data and build dashboards that make sense to decision-makers.

Get job-ready for roles like Business Analyst, Reporting Analyst, or Data Analyst.

Python

Python for Data Analysis

A beginner-friendly track focused on building core Python skills for data work.

Learn how to use Python, Pandas, and NumPy to clean, transform, and analyze real datasets.

Build comfort with Python for data preparation, exploration, and reporting.

Power BI

Power BI & Dashboarding

Already know Excel? Take your reporting skills to the next level by mastering Power BI and dashboard storytelling.

Create dynamic visuals, build DAX formulas, and automate reports.

Deliver insights through dashboards that drive business decisions.

Professional Analytics

Analytics for
Working Professionals

Built for working professionals looking to pivot into analytics or upgrade their data skills.

Focus on high-impact tools like SQL, Excel, and BI — without starting from scratch.

Translate your domain experience into data-driven impact in your current or future role.

Why Choose Your Career Track

Business Analyst

Business/Data Analyst Path

Ideal for freshers and career switchers with no tech background.

Learn Excel, SQL, and Power BI to analyze real business data and build dashboards that make sense to decision-makers.

Get job-ready for roles like Business Analyst, Reporting Analyst, or Data Analyst.

Python for Data Analysis

Python for Data Analysis

A beginner-friendly track focused on building core Python skills for doing data work.

Learn how to use Python, Pandas, and NumPy to clean, transform, and analyze real datasets.

Build comfort with Python for data preparation, exploration, and reporting.

Power BI & Dashboarding

Power BI & Dashboarding

Already know Excel? Take your reporting skills to the next level by mastering Power BI and dashboard storytelling.

Create dynamic visuals, build DAX formulas, and automate reports.

Deliver insights through dashboards that drive business decisions.

Analytics for Working Professionals

Analytics for Working Professionals

Built for working professionals looking to pivot into analytics or upgrade their data skills.

Focus on high-impact tools like SQL, Excel, and BI — without starting from scratch.

Translate your domain experience into data-driven impact in your current or future role.

Our 6-Step Learning Process

01

Excel & Advanced Excel

Master formulas, pivots, dashboards — plus explore AI-powered Excel tools for faster analysis and automation.

Used in almost every analytics role, across industries.

02

SQL & Python

Learn how to extract, manipulate, and analyze data using industry-standard tools.

Includes GenAI session on writing queries faster with AI assistants.

03

Power BI

Turn raw data into interactive visuals that drive decisions — with AI features to go beyond traditional reporting.

04

Case Studies & Real Projects

Work on guided projects using real-world scenarios: sales trends, marketing performance, and customer retention.

05

Resume + Interview Coaching

  • Showcase analytics work
  • Common interview questions
  • Explain projects like a pro
06

Live Expert Talk – Ask the Industry

Wrap up with a live session by an international analytics leader. Get insights on the future of analytics & hiring trends.

Our Proven 4-Step Learning Framework

01

Foundation

Learn the core concepts and tools of analytics through structured, beginner-friendly lessons.

02

Hands-On Practice

Apply what you learn with guided exercises, assignments, and tool-based activities.

03

Business Context & Career Prep

Understand how data drives business decisions and prepare for interviews with resume support and mock questions.

04

Feedback & Mentorship

Get personalized feedback and direction from experienced analytics professionals.

Ready to Think Like an Analyst? Take the Challenge

Think like an analyst. Interpret real-world data. Make smart decisions.

Take our short analytics challenge to test how you approach data—from identifying patterns to drawing insights.

No coding required. Just your business thinking, logic, and curiosity.

Think Like an Analyst – Try Now
Think Like an Analyst Illustration

Testimonials

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Jhon Walker

Managing Director

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Paul Newman

CEO

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Anna Doe

Manager

Compare Study Analytics
With Others

A Better Platform To Prepare For Your Data Analytics Journey.

Features Other Platforms Study Analytics
100+ Quality Coding Problems
Supports Multiple Compilers
In Depth Video Explanations
In Depth Course With Projects
FAANG Instructors
All In One Platform
Deepu malik

KNow your Instructor

DEEPU MALIK

Hi, I’m Deepu— and I’ve been “doing data” since before dashboards were cool.
With over 20 years in analytics, I’ve led teams, built BI systems, automated reporting nightmares, and trained analysts across industries like banking, retail, telecom, and healthcare.

But here’s the thing —
I didn’t start my career knowing Python, Power BI, or SQL.


Why are we doing it this way?”

That curiosity led me down a long (and sometimes messy) road — from Excel spreadsheets to enterprise BI dashboards and machine learning models.

Why you started Study-Analytics

After mentoring freshers and professionals for years, I kept seeing the same struggles:

  • “I don’t know where to start.”
  • “I’m learning tools, but I still don’t feel job-ready.”
  • “I’m stuck watching random YouTube videos and getting nowhere.”

That’s when I realized:
There’s a better way to learn analytics —
One that’s structured, beginner-friendly, and built around real-world business thinking, not just tools.

That’s what Study-Analytics is.
A place where you can learn with clarity, practice with purpose, and grow with confidence.

A personal message

If you’re here, you’re probably curious — and maybe a little overwhelmed.
That’s okay. Everyone starts somewhere.

Just know this:

You don’t need to be a data scientist to break into analytics.
You need the right mindset, real skills, and the ability to solve business problems with data.

That’s exactly what I’m here to help you build.

Let’s get started — your analytics journey begins now.

— Deepu Malik

Ready to Start Your Analytics Journey?

Pricing Table

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Basic

FREE

Professional

$49

Developer

$99

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Learning Hours completed
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Courses

Data Analytics
📘25 Lectures 4.5 (40)

What is Data Analytics?

Learn the fundamentals of Data Analytics and explore how to make data-driven decisions.

View Detail
Python for Analytics
📘15 Lectures 4.9 (19)

Python For Data Engineering

Designed for aspiring Data Engineers who want to build strong foundations and projects.

View Detail
SQL Course
📘19 Lectures 5 (7)

Think SQL: Go from Zero to Hero

The perfect SQL course for analysts with interview prep, recorded sessions, and Tableau intro.

View Detail
Power BI
📘12 Lectures 5 (10)

Power BI: Go from Zero to Hero

Visualize your data with Power BI and harness AI tools like ChatGPT for smart insights and automation.

View Detail
Excel AI Course
📘10 Lectures 4.7 (9)

Excel with AI & ChatGPT

Boost Excel efficiency using AI tools and ChatGPT for powerful automation and analysis.

View Detail
Q1. I’m a beginner from a non-tech background. Will I be able to learn this?

Absolutely. Our programs are designed for beginners, including those from non-technical backgrounds like marketing, HR, finance, and teaching. We start with zero jargon and use real-world examples to build your confidence step-by-step.

Q2. I feel overwhelmed. How do I choose the right course?

Take our Skill Check Quiz — a quick, no-pressure way to discover your strengths and get personalized course suggestions. You'll also unlock a special reward when you enroll!

Q3. I’ve never done coding. Can I still join?

Yes! Many of our beginner-friendly tracks (like Excel, Power BI, and SQL) require no coding. Python is taught from scratch if you're ready to explore more.

Q4. Are the classes live? What if I miss one?

Most sessions are live and interactive. If you miss a class, don’t worry — you’ll get access to recordings and can repeat sessions in upcoming batches (subject to availability).

Q5. What tools and skills will I learn?

You’ll learn the exact tools employers expect:

  • Excel, SQL, Power BI
  • Python for data analysis (not heavy ML)
  • Data storytelling & dashboards
  • GenAI skills (ChatGPT, Copilot) across tools
Q6. Will I be doing real projects or just theory?

Hands-on learning is our priority. You’ll work on real business case studies — sales trends, churn analysis, market insights — and build a portfolio to showcase your skills.

Coding Problems

--1. Create a new databse 'AmazonDB'
CREATE DATABASE AmazonDB;
--2. Ensure using the databse 'Amazondb'
USE AmazonDB;
--3. If you want to delete the database
DROP Database AmazonDB
--4. Create tables - Customers, Products, Orders
CREATE TABLE tbl_Customers
(
	CustomerID int Primary Key,
	Name varchar(100),
	Email varchar(100) CHECK (CHARINDEX('@',Email)>0),
	City varchar(100)
);
--5. Insert values
INSERT INTO tbl_Customers
VALUES(1,'Alice Smith','alice@example.com','New York');
--6 Drop the table and create again
DROP TABLE tbl_Customers

Be In Touch

Study Analytics is a complete learning platform for mastering data analytics. It offers everything from in-depth courses to high-quality coding exercises, all designed to be practiced directly in our interactive coding workspace.

Email

support@data-thoughts.com

Phone

+91 98996 28687

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