CODELESS Data Science with KNIME Analytics Platform for Non-Programmer

Get it at publisher price at (Only for Malaysian’s Residents)

RM70.00

Retail Price RM110.00

International version (for buyer outside Malaysia) is available at Amazon.com. Click here to purchase.

Data Science without Coding. Just Drag-and-Drop with KNIME

Data science is about turning raw data into valuable insights. It is a field derived from mathematics, statistics and computer science. Programming is a must-have skill for those who want to do a data science project. Conventional programming requires writing lines of code using a programming language. However, not everyone can do coding, especially if they are someone from a non-programming background.

This book provides practical approaches to learning data science with visual programming tools, KNIME Analytics Platform. Visual programming is a CODELESS technique that applies drag, drop and execute mechanisms into the functional nodes. In other words, NO CODING requires. This book is written for professionals and students who want to learn practical data science without worrying about coding. The book is packed with theories and practical hands-on that guide readers through step-by-step procedures to execute actual data science tasks with KNIME software. 

Chapter Summary

Chapter 1 introduces the reader to the fundamental of data science and big data, real applications of data science in industries and the data analytics lifecycle.

Chapter 2 teaches readers technical skills to use the KNIME Analytics Platform as a programming tool for data science tasks. It is a primary tool to execute all examples and hands-on in this book.

Chapter 3 concentrates on exploratory data analysis, teaching readers about univariate and multivariate analysis, and inferential statistics. 

Chapters 4 through Chapter 8 focus on predictive analytics with machine learning. The chapters cover a range of advanced analytical machine learning models, including regression, classification and clustering.

Chapter 9 is a chapter dedicated to demonstrating the actual data science process with the KNIME Analytics Platform. Real-business datasets are used for the practical hands-on in this chapter.

Meet the Author

Dr. Nickholas Anting, Ph.D., is a data scientist, independent data consultant, and author with a wealth of experience in the field of data science consulting. He is also the founder of NASPSOFT, a data consulting firm that specialises in providing customised data-driven solutions to clients across various industries. Dr. Nickholas’s passion for sharing knowledge has led him to educate others in the field, both as an author and an educator.

Select the fields to be shown. Others will be hidden. Drag and drop to rearrange the order.
  • Image
  • SKU
  • Rating
  • Price
  • Stock
  • Availability
  • Add to cart
  • Description
  • Content
  • Weight
  • Dimensions
  • Additional information
Click outside to hide the comparison bar
Compare