144 digital products for Data science

Complete 6 Month detailed Roadmap topic wise (as shown in the video)

Data Science Foundations: From Zero to Hero is your all-in-one companion for launching a successful career in data science or deepening your analytical toolkit. This interactive guide combines clear, layman-friendly explanations with real-world narratives, richly annotated infographics, and practical walkthroughs—covering every step from setting up your environment to deploying production-ready models. Inside you’ll find: Five core pillars: Data Wrangling, Statistics & Probability, Machine Learning, Model Evaluation, and Data Visualization End-to-end case studies in telecom churn prediction, retail sales forecasting, and sentiment analysis—showcasing tools like Python, SQL, Airflow, XGBoost, and Tableau Hands-on tutorials built around relatable stories that demystify complex concepts Chapter-opening infographics and summary tables for quick reference Interview prep and portfolio guidance to help you stand out in competitive hiring processes Whether you’re an exam-focused aspirant, a corporate professional, or a curious learner, this eBook equips you with the strategies, best practices, and confidence needed to tackle real industry challenges. 🔗 Download your copy now and start transforming data into impact! 🤝 Connect with me on Topmate for personalized mentoring, Q&A sessions, and tailored project support as you take your data skills from zero to hero.

Master Data Science & AI/ML with Curated Learning Resources Are you tired of scattered resources and confusing learning paths? Whether you're a beginner or an intermediate learner in Data Science or Artificial Intelligence/Machine Learning, I've got you covered! Through my Topmate digital product, I’m offering a handpicked collection of essential materials to help you learn efficiently and confidently—from the basics of Python and statistics to advanced deep learning and large language models (LLMs). What You’ll Get: ✅ Books – Must-read textbooks and practical guides covering: Python for Data Science Machine Learning by Hands-On Projects Deep Learning (Goodfellow), Pattern Recognition (Bishop), and more ✅ PDFs – Well-structured notes, summaries, and concept breakdowns for: Statistics & Probability Data Cleaning & EDA Model Evaluation, Feature Engineering Regression, Classification, Clustering, NLP ✅ Lecture Notes – From top universities and curated YouTube content covering: Stanford CS229 (Machine Learning) MIT Deep Learning Series CMU NLP & Reinforcement Learning lectures ✅ Cheat Sheets & Templates – Quick-reference guides for: Pandas, NumPy, Scikit-learn SQL queries for Data Science Model tuning tips, cross-validation cheats, and more ✅ Career Prep Add-ons (optional): Resume & GitHub profile templates Interview questions (Beginner to Advanced) Portfolio project ideas with datasets and GitHub links Who It’s For: Students looking to break into Data Science Engineers transitioning into ML Professionals preparing for interviews Anyone who wants clarity + direction in AI/ML learning Why Trust This Collection? I’ve spent years curating these resources based on what actually works—not just theory, but real-world projects, interview questions, and industry-relevant tools. Everything I share has either helped me or those I’ve mentored directly. This is not just a dump of links—it's a guided toolkit. Still Confused? Reach out anytime via Topmate or my social handles. I also offer 1:1 mentoring sessions if you want a personalized study path or review of your current progress. Note: I will keep adding new new files. You can get through same link. No need pay every time.

B.Ed 2nd Semester – BSAEU Course 1.2.7A (Pedagogy of Science: Life Science) – PDF Study Material This PDF contains complete study material for B.Ed 2nd Semester (West Bengal) under BSAEU Course 1.2.7A – Pedagogy of Science: Life Science. It includes detailed notes, explanations, important topics, classroom applications, teaching strategies, model questions, and supportive diagrams. Designed for easy understanding and exam preparation, this resource helps students build strong conceptual clarity in Life Science pedagogy and improve teaching skills. Suitable for: • B.Ed students (West Bengal) • Course 1.2.7A – Pedagogy of Science (Life Science) • Competitive exam aspirants and teacher trainees Format: PDF Fully Updated | Exam-Oriented Notes

"Data Demystified" is a comprehensive book designed to help learners understand and demystify the world of data and analytics. This book is perfect for anyone who is interested in exploring the field of data science and analytics, or who is looking to improve their skills and knowledge in this rapidly growing and in-demand area. Throughout the book, learners will be introduced to key concepts and terms in the field, as well as the practice and profession of data science and analytics. They will also learn about the data industry and employment opportunities in the field. The book is structured around the following modules: "What's the buzz about Data!" - In this module, learners will be introduced to the concept of data and why it is such an important and buzzworthy topic in today's world. "Analytics & Data Science Jargons" - In this module, learners will learn about key terms and concepts in the field of analytics and data science, including machine learning, artificial intelligence, and big data. "Analytics & Data Science as a Practice" - In this module, learners will learn about the practice of data science and analytics, which comprises the Data to Decisions journey, the various data roles available and how each data role plays their part within the practice area of data. Analytics & Data Science as a Profession" - In this module, learners will learn about the profession of data science and analytics, including the skills and knowledge needed to succeed in this field. "Data Industry & Employment" - In this module, learners will learn about the data industry and the various employment opportunities available in the field. "Data Science Case Studies" - In this module, learners will have the opportunity to learn from real-world examples of data science and analytics in action through a series of case studies. By the end of this book, learners will have a solid understanding of data science and analytics and will be well-equipped to pursue further study or career opportunities in this exciting field.

A complete books focusing theory, models/algorithm, and analytics.

1 personal session/month, unlimited support on Whatsapp Are you stuck on a project? Need help with a concept? Too many resources on the internet? Transitioning from another field to programming? Don't know what to try and what's right for you? Learning a new skill from the ground up has always presented challenges and consumed a significant amount of time. In self-guided learning, students can often lose motivation due to a lack of confidence in their progress. That's where I come in, ready to assist you in saving valuable time by providing expert guidance to ensure you're headed in the right direction. Why Choose My Mentorship Program? 1. Structured Learning: My mentorship follows a meticulously designed curriculum that takes you from a beginner to a proficient Data Scientist. 2. Personalized Attention: I understand that every learner is unique. You'll receive personalized guidance to address your specific learning pace and style. 3. Practical Learning: Theory is essential, but practice is key. You'll work on real projects to ensure you can apply your knowledge effectively. 4. Industry Insights: Benefit from my vast experience in the field. You'll gain insights into the latest trends and practices in the tech industry. 5. Job Placement Assistance: I am committed to your success. I will guide you on job applications, interviews, and even connect you with potential employers.

4 personal sessions/month, unlimited support on Whatsapp Are you stuck on a project? Need help with a concept? Too many resources on the internet? Transitioning from another field to programming? Don't know what to try and what's right for you? Learning a new skill from the ground up has always presented challenges and consumed a significant amount of time. In self-guided learning, students can often lose motivation due to a lack of confidence in their progress. That's where I come in, ready to assist you in saving valuable time by providing expert guidance to ensure you're headed in the right direction. Why Choose My Mentorship Program? 1. Structured Learning: My mentorship follows a meticulously designed curriculum that takes you from a beginner to a proficient Data Scientist. 2. Personalized Attention: I understand that every learner is unique. You'll receive personalized guidance to address your specific learning pace and style. 3. Practical Learning: Theory is essential, but practice is key. You'll work on real projects to ensure you can apply your knowledge effectively. 4. Industry Insights: Benefit from my vast experience in the field. You'll gain insights into the latest trends and practices in the tech industry. 5. Job Placement Assistance: I am committed to your success. I will guide you on job applications, interviews, and even connect you with potential employers.

get a proper and organized list of top Science Honours courses to help you choose the right academic path after school. Find information on: Chemistry (Hons.) Physics (Hons.) Mathematics (Hons.) Computer Science (Hons.) Botany (Hons.) Zoology (Hons.) ...and many more Each course listing gives you a quick overview of the subject, core areas of study, and career prospects — all in a clean, easy-to-use format. Perfect for students exploring their options in the science stream!

Data Science Notes Part-1 : Object-Oriented Programming in Python Table of contents- Chapter 1: Introduction to Object-Oriented Programming (OOP) -Understanding the OOP Paradigm -Benefits of OOP -Comparison with Procedural Programming Chapter 2: OOP Terminology -Classes: Blueprint of Objects -Objects: Instances of Classes -Inheritance: Building upon Existing Classes -Polymorphism: Many Forms of a Function -Encapsulation: Data Hiding and Abstraction Chapter 3: Working with Classes and Objects -Creating Classes in Python -Instantiating Objects -Accessing Attributes and Methods -Class Variables vs. Instance Variables Chapter 4: Understanding Inheritance -Extending Classes -Base and Derived Classes -Method Overriding -Using the super() Function Chapter 5: Advanced OOP Concepts -Constructors and Destructors -Static Methods and Class Methods -Method Resolution Order (MRO) -Abstract Classes and Interfaces Chapter 6: Applying OOP in Real-world Scenarios -Design Patterns -Modeling Business Entities -Implementing OOP in Project Development Chapter 7: Best Practices and Tips -Writing Clean and Maintainable Code -Designing Reusable Components -Testing OOP Code Chapter 8: Hands-on Exercises and Projects -Practice Problems with Solutions -Mini Projects to Reinforce Concepts Chapter 9: Troubleshooting and Debugging -Common Pitfalls in OOP -Debugging Techniques Chapter 10: Resources and Further Reading -Recommended Books and Websites -Online Courses and Tutorials -Python Documentation and Community Forums

Best Resources to learn data analytics & data science - SQL - Python - Excel - Power BI - Data Science - Machine Learning - BI Templates - Data Visualisation - Tableau - Statistics - Artificial Intelligence - Deep Learning - R Programming - Interview Questions - Data Analytics Preparation Checklist with Free Resources

The resume that got me my first FAANG role The resume that got me my first Senior role The resume that got me advisor gigs, editorial board position and more The template is common, the principles I matured over time. I dont gatekeep my knowledge, so here is everything I know for free. P.S, if in case you want to support my work - do repost any one post on my LinkedIn - https://www.linkedin.com/in/karunt/recent-activity/all/

📘 Class 10 Complete Science One-Page Notes (CBSE) These are detailed one-page notes for Class 10 Science (Physics, Chemistry & Biology) made strictly from NCERT and focused on board exams. ✅ What you’ll get: All chapters of Physics, Chemistry & Biology Each chapter explained in 1–2 pages Easy language, exam-oriented points Perfect for quick revision before exams Saves time and improves clarity 🎯 Best for: Class 10 CBSE students Last-day revision Students aiming for 90%+ marks 📄 Format: PDF 📚 Based on: Latest NCERT syllabus

🔍 What’s Inside the Video? In this power-packed session, I dive deep into: An introduction to data and data types — the foundation of every data science journey. A clear distinction between Artificial Intelligence (AI), Machine Learning (ML), and Data Science — and why ChatGPT is AI, not an ML model or a data science product. The core skills needed to break into data science — whether you're just starting out or switching careers. How medical and healthcare professionals can leverage data science to drive impactful innovation. 🎯 Who is this for? Students exploring the tech and healthtech intersection Professionals seeking clarity on AI/ML/Data Science Medical practitioners curious about how to make use of data in their field 📍 Hosted on Loom Get instant access and watch at your convenience.

Feeling stuck with your consulting jobs or supply chain jobs or anything that makes you feel left behind and underpaid and want to actually make a worthy transition in your life ? No BS, full support with resources customized as per your experience. I'll guide you on a personalized journey to get you your dream job

Interview Guide, Top Questions and Answers alongwith technologies, github repositories, curated resources and case studies.

AWS Services listed

Introducing the Ultimate Data Science Transition Program! 🚀 Ready to take your career to the next level in data science? Look no further! Our most advanced program, led by top industry professionals, is your ticket to success. 📅 Over 2 months, we'll immerse you in extensive training with progress trackers to ensure you stay on the right path. Perfect for freshers eager to dive into the world of data science. 🤝 What sets us apart? Personalized 1:1 live mentorship, job preparations, and assistance for that dream salary hike you've been eyeing. 📊 Get hands-on experience with data analysis through a real-world project. Solve complex problems using data and case studies – because theory alone won't cut it. 📚 What you'll Learn: Master Statistics. Harness the power of Python. Navigate SQL with ease. Excel in Advanced Excel. Dive into the world of Power BI. Understand data structures in Python. Visualize data like a pro in Python. Craft compelling Power BI dashboards. Apply your skills in a hands-on project. Polish your resume for maximum impact. Ace negotiations and interviews. Get ready with mock interviews to boost your confidence. Join us on this transformative journey into data science, and watch your career take off. Don't miss this opportunity – secure your future today! 💼📈🌟

Contains all diagrams from SCIENCE NCERT Class X handpicked by Piyush Kumar (98.2% in X)

This ToolBox Kit Cover Everything.. 1. Artificial Intelligence 2. Machine Learning 3. Cloud 4. Ethical Hacking 5. Data Analytics 6. AWS 7. Data Science 8. BIG DATA 9. Python 10 MBA and Many More