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 (10)

• 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.
• Design of Experiments in Data Science - 03 Sep 2020
  
  Read this overview of the process of designing experiments for collecting data.
• These Data Science Skills will be your Superpower - 20 Aug 2020
  
  Learning data science means learning the hard skills of statistics, programming, and machine learning. To complete your training, a broader set of soft skills will round out your capabilities as an effective and successful professional Data Scientist.
• Data Science MOOCs are too Superficial - 20 Jul 2020
  
  Most massive open online courses are too superficial because they offer introductory-level courses. For in-depth knowledge, more is needed to increase your knowledge and expertise after establishing a foundation.
• How Much Math do you need in Data Science? - 26 Jun 2020
  
  There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.
• Data Science Curriculum for self-study - 26 Feb 2020
  
  Are you asking the question, "how do I become a Data Scientist?" This list recommends the best essential topics to gain an introductory understanding for getting started in the field. After learning these basics, keep in mind that doing real data science projects through internships or competitions is crucial to acquiring the core skills necessary for the job.