Data Science and Big Data Analytics|

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Course Description

About the Course

In this course, you will gain practical foundation level training that enables immediate and effective participation in big data and other analytics projects. You will cover basic and advanced analytic methods and big data analytics technology and tools, including MapReduce and Hadoop. Extensive labs throughout the course provide you with the opportunity to apply these methods and tools to real world business challenges using a technology-neutral approach. In a final lab, you will address a big data analytics challenge by applying the concepts taught in the course to the context of the Data Analytics Lifecycle. You will prepare for the Data Scientist Associate (EMCDSA) certification exam and establish a baseline of Data Science skills.

Course Curriculum

Course # : 85758

Data Science and Big Data Analytics

Exam : Data Science and Big Data Analytics

Download Syllabus

Data Science and Big Data Analytics

Objectives

Deploy the Data Analytics Lifecycle to address big data analytics projects
Reframe a business challenge as an analytics challenge
Apply appropriate analytic techniques and tools to analyze big data, create statistical models, and identify insights that can lead to actionable results
Select appropriate data visualizations to clearly communicate analytic insights to business sponsors and analytic audiences
Use R and RStudio, MapReduce/Hadoop, in-database analytics, Windows, and MADlib functions
Use advanced analytics to create a competitive advantage
Data scientist role and skills vs. traditional business intelligence analyst

Target Audience

Managers of business intelligence, analytics, and big data professionals teams
Current business and data analysts looking to add big data analytics to their skills
Data and database professionals looking to exploit their analytic skills in a big data environment
Recent college graduates and graduate students with academic experience in a related discipline looking to move into the world of Data Science and big data
Individuals looking to take the Data Scientist Associate (EMCDSA) certification

Prerequisites

To successfully complete this course and gain the maximum benefits from participation, you should have the following knowledge and skill sets:

A strong quantitative background with a solid understanding of basic statistics, as would be found in a statistics 101 level course
Experience with a scripting language such as Java, Perl, or Python (or R). Many of the lab examples taught in the course use R (with an RStudio GUI), which is an open source statistical tool and programming
Experience with SQL

Why Data Science and Big Data Analytics from SkillCertified™

Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- SkillCertified Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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