About Benjamin Obi Tayo, Ph.D.

Physicist, Data Science Educator, Writer. Owner, DataScienceHub. Previously, was teaching Engineering and Physics at U. of Central Oklahoma, Grand Canyon U., and Pittsburgh State U.

Benjamin Obi Tayo, Ph.D. Posts (15)

• Essential Linear Algebra for Data Science and Machine Learning - 10 May 2021
  
  Linear algebra is foundational in data science and machine learning. Beginners starting out along their learning journey in data science--as well as established practitioners--must develop a strong familiarity with the essential concepts in linear algebra.
• How to organize your data science project in 2021 - 19 Apr 2021
  
  Maintaining proper organization of all your data science projects will increase your productivity, minimize errors, and increase your development efficiency. This tutorial will guide you through a framework on how to keep everything in order on your local machine and in the cloud.
• How to frame the right questions to be answered using data - 18 Mar 2021
  
  Understanding your data first is a key step before going too far into any data science project. But, you can't fully understand your data until you know the right questions to ask of it.
• 10 resources for data science self-study - 17 Feb 2021
  
  Many resources exist for the self-study of data science. In our modern age of information technology, an enormous amount of free learning resources are available to anyone, and with effort and dedication, you can master the fundamentals of data science.
• Build a Data Science Portfolio that Stands Out Using These Platforms - 19 Jan 2021
  
  Making your big break into the data science profession means standing out to potential employers in a crowd of tough competition. An important way to showcase your skills and experience is through the presentation of a portfolio. Following these recommendations for developing your portfolio will help you network effectively and stay on top of an ever-changing field.
• 20 Core Data Science Concepts for Beginners - 08 Dec 2020
  
  With so much to learn and so many advancements to follow in the field of data science, there are a core set of foundational concepts that remain essential. Twenty of these ideas are highlighted here that are key to review when preparing for a job interview or just to refresh your appreciation of the basics.
• Is Data Science for Me? 14 Self-examination Questions to Consider - 17 Nov 2020
  
  You are intrigued by this exciting new field of Data Science, and you think you want in on the action. The demand remains very high and the salaries are strong. Before taking the leap onto this path, these questions will help you evaluate if you are ready for the challenges and opportunities.
• How to ace the data science coding challenge - 15 Oct 2020
  
  Preparing to interview for a Data Scientist position takes preparation and practice, and then it could all boil down to a final review of your skills. Based on personal experience, these tips on how to approach such a review will help you excel in the coding challenge project for your next interview.
• Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science - 01 Oct 2020
  
  Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.
• 6 Common Mistakes in Data Science and How To Avoid Them - 10 Sep 2020
  
  As a novice or seasoned Data Scientist, your work depends on the data, which is rarely perfect. Properly handling the typical issues with data quality and completeness is crucial, and we review how to avoid six of these common scenarios.