Most data science journeys start with Python, move into data analytics, and lead to machine learning.
This combo brings all three together in one easy-to-follow package:
- Python Essentials gives you coding confidence from scratch
- Data Analytics Essentials teaches you how to find insights in data
- Machine Learning Essentials shows you how to make predictions and automate decisions
What does each book offer?
Book 1: Machine Learning Essentials You Always Wanted to Know
- Learn how data fuels modern machine learning systems, from training algorithms to making accurate predictions
- Tackle complex topics like deep learning and neural networks—made easy with clear, beginner-friendly explanations
- Discover how ML is applied in the real world, with examples from industries like healthcare, education, and more
Book 2: Python Essentials You Always Wanted to Know
- Gain a solid foundation in Python, making it easier to progress to more advanced topics with simple and step-by-step explanations
- Get a deep understanding of object-oriented programming principles, which are vital skills for writing clean, scalable, and reusable Python code
- Stay ahead of the curve by diving into exciting fields like AI, Machine Learning, and IoT with Python
Book 3: Data Analytics Essentials You Always Wanted to Know
- Get a clear understanding of key concepts, terminology, and the evolution of data analytics
- Understand the transformative role of Big Data and how it reshapes industries globally
- Explore how industry giants like Walmart and Netflix use data analytics to drive business decisions