Book Description:
Your ticket to breaking into the field of data science!
Jobs in data science are projected to outpace the number of people with data science skills—making those with the knowledge to fill a data science position a hot commodity in the coming years. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of an 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 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.
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