DATA SCIENCE JARGON, UNPLUGGED!
$10.00
DATA SCIENCE JARGON, UNPLUGGED! is a simplified overview of 200+ data science concepts, explained through easy-to-assimilate short explanations, real-life examples, infographics, and charts. Covering use cases across domains like supply chain, retail, education, and more, this book is designed to help you communicate effectively with non-technical stakeholders, prepare for interviews, and refer back to concepts in your day-to-day data science work.
Concepts You’ll Get in This eBook:
Data Basics – Understand core data terms and concepts to build a strong foundation.
Data Preparation – Learn how to clean, organize, and prepare data for analysis.
Data Analysis & Visualization – Discover how to explore data and present it clearly using charts and visuals.
Statistics – Grasp key statistical concepts that support informed, data-driven decisions.
Machine Learning 101 – Get introduced to machine learning fundamentals in a simple and clear way.
Machine Learning Models – Learn about different types of algorithms and their real-world applications.
Model Training Concepts – Understand how models learn from data.
Model Performance & Evaluation – Explore how to measure model accuracy and performance
Interpretability & Feature Insights – Find out how to interpret model results and understand key features.
Validation & Robustness Techniques – Learn how to check the reliability and consistency of your results.
Tools & Technologies – Get familiar with:
Programming Languages & Syntax
Development & Collaboration Tools
Execution Environments
Data Storage & Compute Infrastructure
Analytics, Visualization Tools, and Libraries
Cloud Platforms & Workflow Orchestration
Common File Formats
Real-World Concepts & Ethics – Understand practical challenges and ethical considerations in data projects.
Core Methods & Best Practices – Proven techniques used in day-to-day data science work.