Data Analyst Training and Certification

Access, manipulate, transform, and analyze 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 Analyst is $104,000

Indeed Salary Search

Track fact job
1.5 million Big Data manager jobs by 2018

McKinsey Global Institute

Data Analyst Training and Certification Track

A Data Analyst turns data into information, information into insight, and insight into business decisions. A Data Analyst conducts full lifecycle activities that include requirements analysis and design, develops business intelligence and reporting capabilities, and continuously monitors performance and quality control plans to identify improvements.

The Experfy Data Analyst Training and Certification courses cover the following topics using a wide range of business intelligence and data science tools:

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and “clean” data, review dashboards, and performance indicators to locate and correct code problems

The Experfy Data Analyst track will cover techniques and how to use tools for programming, statistics, machine learning, data mining, data visualizations. Courses are in active development for all big data tools and technologies such as Hadoop, Tableau, Qlik, SAS, SPSS, Cognos, and Statistica, to name some of them.

According to Indeed.com, the average annual salary of a Business Intelligence Analyst in the U.S. is $92,000, a Tableau Consultant is $102,000, Qlikview Consultant is $102,000, and a Cognos BI Manager is $135,000.

All Courses of this Track

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Machine Learning, Data Analyst

Data Science for Sports Injuries Using R, Python, and Weka

Dr. Stylianos Kampakis

Learn data science by working on real-world problems on sports injury prediction

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Machine Learning, Data Analyst, Executive Track, Data Science

Machine Learning for Predictive Analytics

Dr. Larry Bookman

How your organization can benefit from machine learning and predictive analytics

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Operations Analytics , Big Data, Data Analyst

Supply Chain Optimization Analyst Training

Wayne Zorn

Experience significant business value using supply chain optimization methods

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Marketing & Customer Analytics, Data Analyst, Business Intelligence

Mastering Data Visualization Using Tableau: From Basic to Advanced

Kirill Eremenko, Leonid G, Laura Bolanos, JP Labuschagne

10 Real-World Case-Studies to Master Data Visualization and Tableau

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Data Analyst, Data Science

An Introduction to R for Data Science

Kirill Eremenko, Leonid G, Laura Bolanos, JP Labuschagne

Learn Programming In R And R-Studio. Data Science, Packages, Functions, GGPlot2.

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

Predictive Analytics for Personalized Treatment Plans

Dr. Carol Hargreaves

'Prescribing the Right Treatment to the Right Patient at the Right Time'

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Internet of Things, Data Analyst

Analytics for the Internet of Things

Dr. Vishnu Nanduri

Learn how to apply basic analytical methods to IoT Data

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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

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Big Data, Data Analyst, Executive Track

Big Data Analyst

Sumit Pal

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

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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

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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

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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

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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.

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Big Data, Data Analyst, Data Science

SAS Index & SAS Macros: Solutions for Big Data

Ermin Dedic, Ermin Dedic

SAS Indexes and Macros are vital when working with big data.

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Big Data, Data Analyst, Business Intelligence, Data Science

Effective Data Visualization

Stephan Fopeano

Effective presentation of data is key to success in any data project.

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Data Analyst, Marketing & Customer Analytics

Google Tag Manager (GTM) Crash Course

Alessandro Russo

Learn how to Manage your Marketing Tags the Smart Way

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Big Data, Data Analyst, Data Science

SAS Base Programming: A Practical Guide For Beginners

Ermin Dedic, Ermin Dedic

Prepare for SAS Base certification, or employment, as a SAS programmer.

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Data Analyst, Data Science

Enterprise Data Architecture Strategy - Build a Meta Data Repository

Dan Grijzenhout

Learn Why and How to Build a Meta Data Repository for Your Corporation

Send Us a Query

Call Us

Toll Free: (844) EXPERFY OR (844) 397-3739

Email: support@experfy.com

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