4 steps for managing a data science project — Key takeaways Executing a data science project requires good planning Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution Benjamin Franklin once said: “By failing to prepare, you are preparing to fail.” This article will discuss…

3 important reasons why teamwork is so crucial in real-world data science projects — Key Takeaways Without teamwork, real-world data science problems would be impossible to solve. Academic training programs should therefore design capstone projects that would help students to collaborate and build their teamwork skills. Andrew Carnegie once said: “ Teamwork is the ability to work together toward a common vision. The ability to direct…

Effective communication will enable you to convey your ideas clearly during virtual meetings — Key Takeaways With remote work becoming the norm, communication skills are crucial in data science As a data scientist, you might have a great portfolio of technical skills, but if you can’t communicate effectively, you won’t be able to convey your ideas clearly during virtual meetings. It is therefore crucial that strong…

Tips on how to collect raw data — Key Takeaways Designing experiments for data collection is important when the data required for analysis isn’t available. The key goal is to design a way to collect the best subset of data quickly and efficiently. Data plays a central role in data science and machine learning. Most often, we assume that the…

Dive deep into core data science concepts using these resources — Key takeaways In today’s modern world of information technology, there are unlimited online resources for learning data science. Most of the data science resources provide superficial knowledge only. To expand your knowledge beyond online courses, you must put in extra effort to gain in-depth knowledge of core data science concepts.

Explore different ways of getting into data science — If you are interested in learning about data science, it is important for you to do some research about possible pathways that can lead you to the field of data science. This article will discuss 3 possible ways of getting into the field of data science. 1. Traditional College Degree …

A Simple Derivation of the Relativistic Doppler Effect from Lorentz Transformation Equations — Read every story from Benjamin Obi Tayo Ph.D. (and thousands of other writers on Medium). Your membership fee directly supports Benjamin Obi Tayo Ph.D. and other writers you read. You’ll also get full access to every story on Medium. Click on the following link to become a member: https://benjaminobi.medium.com/membership

Most often we use data for analysis without questioning its source and reliability — Read every story from Benjamin Obi Tayo Ph.D. (and thousands of other writers on Medium). Your membership fee directly supports Benjamin Obi Tayo Ph.D. and other writers you read. You’ll also get full access to every story on Medium. Click on the following link to become a member: https://benjaminobi.medium.com/membership

Mathematics remains a major hindrance for beginners trying to get into data science — Read every story from Benjamin Obi Tayo Ph.D. (and thousands of other writers on Medium). Your membership fee directly supports Benjamin Obi Tayo Ph.D. and other writers you read. You’ll also get full access to every story on Medium. Click on the following link to become a member: https://benjaminobi.medium.com/membership