Data Analytics for Beginners: From Basics to Advanced Mastery: A Practical Step-by-Step Guide to SQL, Python, Excel, Statistics and Business Intellige

By: Das, Sujoy

Stuck between "I want to become a data analyst" and "I have no idea where to start"?

Most beginners drown in scattered tutorials, expensive courses, and tool lists that never connect. Data Analytics: From Basics to Advanced Mastery gives you one clear path, from your first spreadsheet to a finished project you can show an employer.

This is a short, focused guide. It has no filler and no theory for theory's sake. Every module gives you the concept, a working code example, a common mistake to avoid, and a quick checklist of takeaways.

What Makes This Book Different:

Practical first: ready-to-run SQL and Python (pandas) snippets you can adapt to your own data.Mentor-style writing: plain language, real analogies, and honest warnings about beginner traps.One complete case study: follow a business question from a raw, messy CSV to a clear recommendation.Career-focused: a portfolio blueprint and a 90-day roadmap built for real job applications.

Inside You Will Learn:

Foundations: data types, the five-point clean-data check, Excel essentials, and SQL queries with joins.Explore and Visualize: exploratory data analysis with pandas and dashboard design principles that work in any BI tool.Advanced Thinking: statistics, hypothesis testing, predictive modelling basics, and how to handle messy real-world data.Real-World Workflow: an end-to-end project from question to business insight.Portfolio and Career: three projects that get noticed, plus interview preparation.

Perfect For:

Complete beginners who want a clear starting point.Career changers moving into data and analytics.Students building job-ready skills.Business analysts and professionals who want stronger SQL, Python, and statistics.

No advanced maths or prior coding experience is required. All tools used are free and open-source.

Stop collecting tutorials and start building real skills. Scroll up and click Buy Now to begin your data analytics journey today.

• Format: Paperback
• Language: English
• ISBN: B0HNS9Q4XL
• ISBN13: 9798164113186
• Release Date: October 2026
• Publisher: Independently Published
• Length: 44 Pages
• Weight: 0.16 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"