Walter Boateng

dashboard Businesses need data specialists now more than ever. With a surge in demand for data professionals, many people are undergoing self training to fill the vacancies in the data space. There are many roles in the field of data. Data scientists, data engineers and data analysts are some roles in data analytics with high demand for skilled workers.  Many people are willing to dive into the field of data analytics. However, the question remains, 'how can one become a self-trained data analyst'? In this article, we shall look at the essential skills that are needed to get started as a data analyst. Having gone through this process myself, I have noted some key things that may be essential to every aspiring data analyst.  TECHNICAL SKILLS  There are different schools of thought on which technical skills are necessary and in which order one should learn them. Having been here myself and after making so many mistakes in my journey before finding my foot, these are the tec...

Introduction This project was an analysis of a Bike Selling Company`s dataset of its potential customers. This project was undertaken as a challenge by my mentor,  Alex the Analyst. The purpose of this project was to, among others; Find the correlation between income of citizens and their ownership of bikes. The relationship between marital status and owning a bike. If the distance people commute to work affect their bike purchase. How the education level of people influence their willingness to buy bikes. The relationship between different age groups and their purchase of bikes. Any other insight that may arise from the analysis. Data Gathering and Transformation The dataset was downloaded from Github. The link to the dataset was provided by Alex the Analyst , a mentor in the data community. To get the data, I simply clicked the link provided under his Youtube video and was taken to his Github Repository. The dataset was downloaded and converted to excel sheet. Cleaning the Data T...