Aisha's Data Journey

 Introduction: This is a project on the Covid_19 cases and Vaccination as at April 24th, 2022 among the 36 States in Nigeria including the FCT.  Data was pulled out from the NCDC website for the project. Data was clean enough except for some columns which were cleaned out that didn't serve the purpose such as clinics, testing centers, etc.  All reports from labs across the states are sent to NCDC for computation and publishing Columns and rows with null values were cleaned while there were no duplicate values in the cell. The columns were formatted from text to numbers so python will be able to read the columns with figures as strings instead of objects. Computation cannot be carried out on columns with object data type Analysis and visualization were carried out using python libraries such as pandas, matplotlib, Plotly, and seaborn. Python was chosen for the analysis due to the structure of the data, which has a large number of columns, computations and analysi...

 MY DATA JOURNEY In the course of my transiting into the data field, it was really a tough decision regarding where to start, who to listen/follow, communities to join, leaders/mentors, and the likes. The more I delved into the field doing my research, the more fascinated I became by the enormous opportunities and aspects we have in the data field, talking about machine learning, AI, deep learning, Cloud, etc. I began looking into various aspects and decided to jump straight into data science...I mean...why not...LOL😄. That became like going down the rabbit hole because there was just too much information, resources, courses, etc to familiarize myself with to get started, I became somehow stuck because it felt like I was running in circles  😓😔😖. I had to a step backward, to realize that even though I come from a STEM background, and I have experience with data analysis which involves data extraction from a company database, cleaning the data analysis, and finally making a ...