Introduction to Data Science by Datalent Team @Data Science Clinic #9
Download as PPTX, PDF11 likes1,875 views
The document outlines a presentation on data science, covering its definition, motivation, skill requirements, and various processes involved. It contrasts relational databases with NoSQL, discusses data warehouses versus data lakes, and highlights the roles of AI and machine learning. Additionally, it emphasizes the importance of modernizing existing data solutions to derive actionable insights.
Introduction to Data Science by Datalent Team @Data Science Clinic #9
- 1. Introduction to Data Science @Data Science Clinic #9 8-Mar-2017 All Season Place Dr. Sotarat Thammaboosadee @DatalentTeam
- 2. Agenda • What is Data Science? • Motivation • Data Scientist’s Skill • Data Science Process • Relational Database vs NoSQL Database • Data Warehouse vs Data Lake • AI / Machine Learning / Data Mining • Data Visualization • Courses
- 5. What is Data Science? • Data Science – is the study of the generalizable extraction of knowledge from data (Wikipedia) – is getting predictive and/or actionable insight from data (Neil Raden) – Involves extracting, creating, and processing data to run it into business value (Vincent Granville)
- 6. What’s new? • Data science is not new, Data science is just modernizing existing reporting solution, analytics solution, data warehousing solution, business intelligence solution, and even data management solution. (Jothi Periasamy) • So, Data science is… – New thinking – New ideas – New data source – New data structure – New data architecture – New data processing mechanism – New innovation on data – New way of solving problems
- 7. Motivation: Why data science now? http://datascienceth.com/why-data-science-now/
- 17. Data Scientist
- 18. Data Analyst
- 20. Data Consultant
- 32. Data Scientist Jobs in London https://www.itjobswatch.co.uk/jobs/london/senior%20data%20scientist.do
- 34. Data Science Life Cycle http://blog.revolutionanalytics.com/2016/10/the-team-data-science-process.html
- 35. Relational Database and NoSQL Database https://kvaes.wordpress.com/2015/01/21/database-variants-explained-sql-or- nosql-is-that-really-the-question/
- 37. Data Warehouse vs Data Lake http://datawarehouse4u.info/
- 38. https://www.digitalnewsasia.com/business/forget-data-warehousing-its-data-lakes- now
- 39. http://www.kdnuggets.com/2015/09/data-lake-vs-data-warehouse-key- differences.html
- 40. AI / Machine Learning / Data Mining http://blogs.sas.com/content/subconsciousmusings/2014/08/22/looking- backwards-looking-forwards-sas-data-mining-and-machine-learning/
- 50. Courses
- 51. Courses
- 53. ดร. โษฑศ์รัตต ธรรมบุษดี (โอม) zotarat@gmail.com Line: @zotarutto FB: Datalent Team