As part of the best-selling Pocket Primerseries, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computerlanguages and applications.
Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages.
With a new formula calculations engine and many new built-in functions, creating formula solutions and business models in Excel 365 is dramatically easier than at any time in the history of spreadsheets.
MySQL will take readers from the absolute basics of creating a table to the complexities of managing an entire database.
This book will make the link between data cleaning and preprocessing to help you design effective data analytic solutions. Develop the skills to perform data cleaning, data integration, data reduction, and data transformation*
Big data - unstructured and/or structured data being used to influence underwriting, rating, pricing, forms, marketing and claims handling and incentivize risk reduction - is a relatively recent development in the insurance industry.
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data science is to improve decision making through the analysis of data.
Sarah Lamdan brings us into the unregulated underworld of "data cartels", demonstrating how the entities mining, commodifying, and selling our data and informational resources perpetuate social inequalities and threaten the democratic sharing of knowledge.
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In this video, Professor Srour discusses the five applications of big data, using example to show their impact.
Learn to analyze data using Excel and tackle complicated criteria using real-world examples Key Features: Describe the fundamentals of Excel spreadsheets, from their layout to the applications.
In this course, you will learn data storytelling with Python. With no coding experience required, we transform data into compelling visuals with Matplotlib, Seaborn, and Plotly, and master the essential skills for effective data communication.
A course that will equip you with the skills and knowledge needed to excel in the field of data science using SQL.
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