Data Science and Data Analytics: A Step-by-Step Guide on Data Science and Data Analytics

by Levi Mateo

Do you want to learn? •What is meant by Data Science and Data analytics?•Boot camps of Data Science and Data Analytics?•Process of Data Science and Data Analytic?•Comparison Between Data Science and Data Analytic?•Advantages and Disadvantages of Data Science and Data Analytic?If your answer is "Yes,"Then you are at the right place for sure!Data Science and Data Analytics have different objectives, but data is a key resource for all of them. These disciplines are not only related; Data Analytics is also considered to be a branch or sub-discipline of Data Science.In short, Data Science investigates and tests new approaches for using and interpreting data. At the same time, Data Analytics focuses on analyzing datasets and discovering insights and solutions to problems.Data scientists use prototypes, algorithms, and predictive models to find new ways to use data or come up with new questions or trends that might be useful in the future. These efforts help push creativity and raise concerns that we didn't even realize we needed a response.Data analysts use their expertise to filter data, collect relevant information and develop solutions for companies and organizations from various industries, such as healthcare, banking, insurance, travel, energy management, etc. Their insights are used to enhance the decision-making process, set KPIs (key performance indicators) and other business purposes.Read the complete book for knowledge.

106 pages, Paperback

Published March 5, 2021