Hello, ok don’t be so upset i know am 2 weeks late but am here now forgive me. So i know you want to know everything i have been up to, its being crazy this last 2 weeks. Anyway enough about my complains, let’s get to business i hope the links i dropped at the previous post helped to build you appetite for data science.
So now that your appetite is up let’s talk data science. Yes it is a male dominated area but girls rock at it too. Since i am a girl i had to find out what i needed to become a data scientist after watching so many youtube videos (channels: python programmer, siraj raval, Daniel bourke and Joma tech), one this was for sure i had to learn python programming. Python and R programming languages are the basic languages for data science.
Learning python programming took me about a month and a half, using a tutorial by Pramod the title of the course is to learn python programming step by step. In this his course he also not only teaches you python but also how to relate it to data science, web scraping and SQLite. The classes are quite easy to understand and if you get stuck there is always google and stack overflow to consult. I won’t lie there where times some error codes would almost frustrate me, but if you are determined to get it you will.
Thinking about it now I realize that I learnt quite a lot from Pramod. I got to understand the use of my system terminal apart from learning loops and functions in python I learnt to use programs such as BeautifulSoup. Ok am speaking Etsako (that’s my language of origin by the way) now right, what is BeautifulSoup you might ask. It is a file in the python library used for web scraping and web scraping is the extraction of data from a website, it is basically a mining process of collecting data worldwide.
We’ll get to talk more on that soon, so I promised that I would give an update on my progress with the Microsoft Data Science course am presently taking. The introduction of data science was quite interesting and you get to try your hand out with the labs attached to each class (the classes are handled by edx.org). I was given data to arrange, sort, analyse and many more I was able to finish that in 2 weeks basically because I already had some experience in excel manipulations but for someone else, it meant to take a bit longer time. But it’s very easy to understand although the last module of the introduction class was on machine learning. Now the machine learning totally kicked my butt and it’s still kicking my butt I haven’t really gotten a hang of it but I know soon I will. Started the next stage of the course though it’s Analysing and Visualising Data with Power BI (BI- Business Intelligence: it is the accumulation, analysis, reporting, budgeting & presentation of your business data. The aim of business intelligence for a business is to improve the visibility of its organisational operations and financial status to better manage your business.). By next post, I will have more to talk about this aspect of the course. Below are some pictures of me doing some tasks given in the various labs of the introduction course of Microsoft Data Science.

That’s all folks see you next week I’ll try not to be late with my next post. Remember every journey starts with a step get it 1 step at a time. See you next week.




