Lillian Pierson

Data Science For Dummies

Notify me when the book’s added
To read this book, upload an EPUB or FB2 file to Bookmate. How do I upload a book?
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.
This book is currently unavailable
592 printed pages
Have you already read it? How did you like it?
👍👎

Quotes

  • Liter Odishas quoted8 years ago
    Descriptive statistics describe the characteristics of your numerical dataset, while inferential statistics are used to make inferences from subsets of data so you can better understand the larger datasets from which the subset is taken.
  • Ronny Villarroelhas quoted8 years ago
    Tools, technologies, and skillsets: Examples here could involve using cloud-based platforms, statistical and mathematical programming, machine learning, data analysis using Python and R, and advanced data visualization.
  • Ronny Villarroelhas quoted8 years ago
    to extract data insights that add value to the organization when acted upon. In the following sections, I walk you through

On the bookshelves

fb2epub
Drag & drop your files (not more than 5 at once)