Learn data science from industry experts at Harvard, Columbia, Cisco, Apple and Google. Whether you’re new to the field or looking for additional training, we have introductory, advanced, and industry-specific courses to meet your learning goals. There are no shortcuts to preparing yourself to become a data scientist. Experfy instructors are industry thought leaders who provide you with in-depth training in introductory topics like statistics to advanced ones like machine learning. Ask the right questions, manipulate data sets, and create visualizations to communicate results. This data science training and certification track covers the concepts and tools you will need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. As you work your way through different courses in the data science training track, you will develop a portfolio of projects that you can showcase during interviews. Employers want to see students who have been trained by real experts and not by training departments. Experfy courses give you the practical hand-on training that will prepare you for the real world skills that will be necessary as you begin working as a data scientist.
Demand for Data science talent is exploding. Once you complete the training track on data science, you will know how to build and derive insights from data science and machine learning models. You will learn key concepts in data acquisition, preparation, exploration and visualization along with working on real world use-cases. Data Science is an essential skill for analyzing and deriving useful insights from data, big and small. McKinsey estimates that by 2018, a 500,000 strong workforce of data scientists will be needed in US alone. The resulting talent gap must be filled by a new generation of data scientists.
According to Indeed.com, the average annual salary of a Data Scientist in the U.S. is $117,000.
Dr. Carol Hargreaves
'Prescribing the Right Treatment to the Right Patient at the Right Time'
Dr. Stylianos Kampakis
Sports betting and web crawling using Python and machine learning
Kaitlin Hagan, Michael Parzen
From Basic to Advanced Applied Statistics using R
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