Beginning Data Science with Python and Jupyter

beginning-data-science-with-python-and-jupyter
Beginning Data Science with Python and Jupyter, Perform reproducible data analyses with these data exploration tools


  • Created by Packt Publishing
  • 3 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion


Description
Getting started with data  science doesn’t 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. You’ll 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. We’ll 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 Author
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. 

Who is the target audience?

  • This course is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science.


Preview This Course - GET COUPON CODE

Post a Comment for "Beginning Data Science with Python and Jupyter"