Data Science Training and Certification

Data wrangling, exploration, modeling, validation, visualization, and communication. Based on industry use cases by Experfy in Harvard Innovation Lab

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Track fact market
Big Data annual spending to reach $48.6 billion by 2019

International Data Corporation

Track fact sallary
Average annual salary for a Big Data Scientist is $123,000

Indeed Salary Search

Track fact job
190K data scientist jobs by 2018

McKinsey Global Report

Data Science Training Track

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, the average annual salary of a Data Scientist in the U.S. is $117,000.

All Courses of this Track


Big Data, Data Science

Scaling Advanced Analytics

Sofiane Mesbah

An In-depth Advanced Analytics Training using SAS.


Data Science

Clustering and Association Rule Mining

Anirban Ghosh

Learn Clustering methods and Association Rule Mining Techniques


Data Science

Econometric Analysis: Methods and Applications

Alan Yang

Quantitative and Econometric Analysis focused on Practical Applications


Data Science

Probability and Statistics for Data Science with R

Michael Parzen, Kaitlin Hagan

From Basic to Advanced Applied Statistics using R


Data Science

Machine Learning Foundations: Supervised Learning

Peter Chen

Practical Approach to Supervised Machine Learning


Data Science

Classification Models

Saed Sayad

How to use classification algorithms to solve real world problems.


Data Science

Designing & Building Business Ontologies

Dave McComb, Dan Carey, Michael Uschold

Learn to create semantic models for enterprise class applications.


Big Data, Data Analyst, Business Intelligence, Data Science

Data Wrangling in R

Dr. Connie Brett

Real-world data preparation for further analysis using R

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