About this item
Data Science For Dummies 2nd Edition begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases and unstructured data, including NoSQL. The book then moves into preparing data for analysis by cleaning it up or "munging" it. From there the book explains data visualization techniques and types of data sets. Part II of the book is all about supervised machine learning, including regression techniques and model validation techniques. Part III explains unsupervised machine learning, including clustering and recommendation engines. Part IV overviews big data processing, including MapReduce, Hadoop, Dremel, Storm, and Spark. The book finishes up with real world applications of data science and how data science fits into organizations.
About the Author
Lillian Pierson, PE. is a 4-time Wiley author on the topics of data science, AI, and data innovation. Approved & licensed Professional Engineer. Elected Microsoft Regional Director. CEO of Data-Mania, LLC - a data strategy consulting boutique that's supported a wide variety of corporate clients, including Amazon, Intel, and the United Nations. Through her partnerships with LinkedIn and Wiley, Lillian has trained about 1 million professionals to develop data skills that generate business value.Lillian Pierson, Data StrategistEmail: lillian@data-mania.com Website Link: www.data-mania.comLinkedIn Profile: https://www.linkedin.com/in/lillianpierson/
