Description
Write a 1,000 word blog on a topic that interests you. Data Analysis and programming are ever growing fields. Everyone has data, needs data analyzed, and create actionable items about what they learn from their data. Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. Computer programming is the process of designing and building an executable computer program to accomplish a specific computing result. Programming involves tasks such as: analysis, generating algorithms, profiling algorithms’ accuracy and resource consumption, and the implementation of algorithms in a chosen programming language. In your Excel assignment, you’ve actually already done some data analysis! Time Series and 80/20! Your assignment is to pick a major company that you’d like to work for from the list and write a 1,000 word “Blog” on your website. Webpage Requirements:
Write a 1,000-word blog on a company that you’d like to work for and research the programming languages they use OR on a data analytics application you’d like to learn more about: Programming Review companies include the following: Google Search – Front End C & C++; Back End Web crawler – Python Google Chrome – Python, Assembly, C++ Adobe – C & C++; UI – JavaScript Apple – Objective C, C++ Microsoft – Windows Operating System C++; Powerpoint, Exel, Word – C & C++ YouTube – PHP (Before Google Acquisition), now Python Linux – C & Python Dropbox – Python Facebook – PHP Reddit – Python Data Analytics and Machine Learning Review include the following: R-Programming Python Java C/C++ PowerBI Tableau Microsoft – Windows Operating System C++; Powerpoint, Exel, Word – C & C++ SAS Sentiment Analysis KNIME RapidMiner Feel free to include links to videos or images to make more interesting.
