After a short weekend trip to Texel (one of the dutch Islands) I found a signed copy of the book Data Science for Dummies by Lillian Pierson in my postbox. I am very happy and thankful for this. Today I will start reading and after finishing I will write a review on Amazon.
Thanks Lillian for the surprise 🙂
Data Science For Dummies
March 9, 2015
Discover how data science can help you gain in-depth insight into your business – the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.
I’m creative, imaginative, free-thinking, daydreamer and strategic who needs freedom, peace and space to brainstorm and to fantasize about new and surprising solutions. Generates ideas and solves difficult problems, sees all options, judges accurately and wants to get to the bottom of things.
Interested in Data Science, Data Analytics, Running, Crossfit, Obstacle Running and Coffee.