In my previous article, I shared reasons why aspiring or junior data scientists should consider becoming data science generalists (DSG’s).

In this article, I want to share how they (aspiring or entry level data scientists) can posture themselves and navigate the pathway towards becoming solid data science generalists — ones who have developed an assortment of competence in the different areas/roles of data science.

A generalist is not meant to be a master at anything, but rather have a full grasp of the grand picture of things. A jack of all trades, a master of none.

The quote above is…

After completing a two-year master programme last year in Data Science, I felt very competent in the field and ready to get into the work force to put theory into practice and hone my skills along the way. My programme track entailed courses in Statistics, Machine Learning, Big data, Natural Language Processing, Data preparation and visualization, Information theory, Information systems among others. In these courses, I learned a great deal of the core concepts in data science even though for me, the ones that stuck most were mainly centered around ML algorithms and modeling. My practical experience was organized around…


Nigeria, the most populous country in Africa, will hold its general elections on the 16th of February, 2019 — four years after the last general elections that saw the main opposition candidate, Muhammadu Buhari defeat the then incumbent, Goodluck Jonathan.

Now President, Muhammadu Buhari will be vying for a second term in office. However, he has about 70 other candidates also challenging for the highest office in the land. Among those candidates is his main opposition and former Vice President of Nigeria 1999 -2007 — Alhaji Atiku Abubakar. …

Twitter sentiment analysis brings a lot of power to the table when it comes to examining and capturing the mood of voters prior to an election. In the age of social media, this is very powerful as many people share their different perspectives, biases and opinions surrounding political discourse, in favor of one candidate or another on social media platforms.

Sentiment Analysis, or Opinion Mining, is a sub-field of Natural Language Processing (NLP) that tries to identify and extract opinions or sentiments within a given text. Doing sentiment analysis on any given text helps to gauge the attitude, opinion and…

Having spent almost a year transiting into the world of data science — familiarizing with what it’s all about, the concept, the need-to-knows, and trying out a bunch of techniques in real life applications, there are a couple of things I feel a total newbie should know about data science: most of these things I didn’t know while starting out.

There are a lot of articles out there like this, talking about data science and what a newcomer should expect. However, many of these articles are from the experts, people who have been doing Data science for a long while…

Somto Enendu

I'm usually messing with data

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