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Perform reproducible data analyses with these data exploration tools
An excellent training about Data Science
Beginning Data Science with Python and Jupyter
Getting started with data science doesnt have to be an uphill battle. This step-by-step video course is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. Youll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We’ll start with understanding the basics of Jupyter and its standard features. You’ll be analyzing an example of a data analytics report. After analyzing a data analytics report, next step is to implement multiple classification algorithms. Well then show you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context. Finish up by learning to visualize these data interactively. About The AuthorsAlex Galea has been doing data analysis professionally since graduating with a master’s in physics from the University of Guelph in Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. More recently, Alex has been doing web data analytics, where Python continues to play a large part in his work. He frequently blogs about work and personal projects, which are generally data-centric and usually involve Python and Jupyter Notebooks. Chris DallaVilla is the founder and CEO of VALID, an independent marketing consulting practice specializing in providing data-driven solutions that help chief marketing officers and their teams strengthen their planning and execution, and drive results. Chris has expertise in digital and social media marketing, as well as certifications in Agile, Google AdWords, and Google Analytics. He studied computer science at Harvard University, design technology at Massachusetts College of Art and Design, and advertising and marketing communications at the Questrom School of Business at Boston University.
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