Big Data Training & Certification

Unleash the power of Big Data. Based on Industry use cases by Experfy in Harvard Innovation Lab.

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 Architect is $139,000

Indeed Salary Search

Track fact job
1.5 million Big Data manager jobs by 2018

McKinsey Global Institute

Big Data Training and Certification Track

Big data is now a reality: The volume, variety and velocity of data coming into organizations continue to reach unprecedented levels. The Big Data phenomenon has emerged as a result of vast amounts of data that are becoming available across a wide range of application domains and industries. The Experfy Big Data Training track will provide you with the necessary skills to harness large data sets and analyze big data from a systems engineering perspective. Our industry experts will go in depth and train you in the techniques and tools that they themselves use in Big Data deployments. If you are interested in analytics, then you should also look at Experfy's Data Science Training track.

Hadoop is the flagship within the Big Data ecosystem, comprising of a host of different technologies. While there are many alternatives and variants, including Cloudera, Hortonworks, Amazon EMR, HDInsight, Storm, and Apache Spark—Hadoop as a whole remains the most-deployed Big Data technology. From a career growth perspective, the good news for aspiring big data professionals is that despite surging demand, Hadoop's adoption is being thwarted by the lack of available talent. There are more than 16,000 open jobs on that require Hadoop skills in the U.S. alone. The industry needs fresh talent that has mastered MapReduce, Impala, Pig, and other technologies built on Hadoop. Experfy, which also runs a consulting marketplace, has deep understanding of what the industry demands and what is needed for you to be successful as soon as you complete the Big Data track. The advantage of training with Experfy is that our experts are industry thought leaders and practitioners who are keeping pace with the fast changing landscape of big data technologies. As a result of the industry involvement of our experts, Experfy big data hadoop online training is hands-on, practical and gives you an understanding of how big data tools and technologies are implemented in the real world.

All Courses of this Track


Big Data

Hadoop Developer Training

Matt Pouttu Clarke

MapReduce, HDFS, YARN, Hive, Pig, Scoop, Flume, and Drill plus advanced topics


Big Data, Machine Learning, Data Science

Scaling Advanced Analytics

Sofiane Mesbah

An In-depth Advanced Analytics Training using SAS.


Operations Analytics , Big Data, Machine Learning, Executive Track, Data Science, Internet of Things

IIoT Applications for Machine Learning

Karla Yale, Randy Barnes

Learn the elements of a robust IIoT control system through applications.


Operations Analytics , Big Data, Data Analyst

Supply Chain Optimization Analyst Training

Wayne Zorn

Experience significant business value using supply chain optimization methods


Big Data

Getting Started with Apache Cassandra

Aaron Ploetz

Learn how to work with Apache Cassandra


Big Data, Machine Learning, Cloud Computing, Business Intelligence

Gain Competitive Advantage using Microsoft Azure Data Platform and Cortana Analytics

Jonathan Bloom

Learn to gain a competitive advantage using Microsoft Azure Data Platform & Cortana Analytics


Big Data, Industry Track (Banking, Finance, and Insurance), Executive Track

Insurance Analytics Training

Ajay Bhargava

Learn how Analytics can derive value for Property(Home) & Casualty(Auto) Insurer


Big Data

Comprehensive Pig

Ellie Ordway

An In-depth Training for Apache Pig


Big Data, Machine Learning, Data Analyst, Business Intelligence, Data Science

Data Wrangling in R

Dr. Connie Brett

Real-world data preparation for further analysis using R


Big Data, Data Analyst, Executive Track

Big Data Analyst

Sumit Pal

Master the skills necessary to build a career in Big Data.


Big Data, Machine Learning, Data Science

Predicting Sports Outcomes Using Python and Machine Learning

Dr. Stylianos Kampakis

Sports betting and web crawling using Python and machine learning


Big Data, Executive Track

Big Data - What Every Manager Needs to Know

Sandra Hendren

Foundational knowledge of big data for executives from the former Chief Data and Analytics Strategist of UnitedHealth Group.


Operations Analytics , Big Data, Machine Learning, Data Analyst, Executive Track, Data Science, Internet of Things

Robotics Application Machine Learning

Karla Yale, Randy Barnes

Obtain the real time data exchange from the robot sensors for training AI.


Big Data, Machine Learning, Industry Track (Banking, Finance, and Insurance)

Algorithmic Trading Strategies

Nick Firoozye

Analysis, Design and Confirmation of Quantitative Trading Strategies


Big Data, Machine Learning, Text Analytics and NLP, Data Analyst, Data Science, Web Development

Introduction to Python

Veysel Kocaman

Learn the most popular programming language of Data Science community


Industry Track (Healthcare & Life Sciences), Big Data, Data Analyst, Data Science

Introduction to Healthcare Analytics

Dr. Ann E.K. Um

Healthcare Analytics: Concepts, Definitions, Technologies, and Implementations


Big Data, Machine Learning, Industry Track (Banking, Finance, and Insurance), Marketing & Customer Analytics, Data Analyst

An Introduction to neo4j

Esteve Serra Clavera

Get rolling fast with the leading application on graph database technology:neo4j


Big Data, Data Analyst, Data Science

SAS Base Programming: A Practical Guide For Beginners

Ermin Dedic

A beginner course that covers the most important aspects of SAS Base Programming


Big Data, Business Intelligence, Executive Track

Adopting Hadoop for the Enterprise: From Strategy to Roadmap

Craig Jordan

How to make Hadoop a core of your enterprise information architecture.


Big Data, Machine Learning, Data Science

Uncertain Knowledge and Reasoning in Artificial Intelligence

Andreas Haja

Learn how to take informed decisions based on probabilities and expert knowledge

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