EMC Certified Data Science & Big Data Analytics Training

Live Online & Classroom Certification Training

Data science is all about Data cleansing, preparation and analysis and Big data Analytics is used to analyze insights which can lead to better decisions and strategic moves. So the combination of these two makes this course an astonishing way to become a Big data analyst with a pinch of Data science.

(4.7) 71 Learners
Instructed by Dell EMC
INDIA

No Public/Open-house class on the topic scheduled at the moment!

Course Description

Overview

This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It establishes a baseline of skills that can be further enhanced with additional training and real-world experience. The course provides an introduction to big data and a Data Analytics Lifecycle Process to address business challenges that leverage big data. It provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools including MapReduce and Hadoop. The course has extensive labs throughout to provide practical opportunities to apply these methods and tools to real-world business challenges and includes a final lab in which students address a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven\u2122 Professional Data Scientist Associate EMCDSA) certification exam.

Objective

At the end of Data Science and Big Data Analytics training course, participants will be able to:

  • Immediately participate and contribute as a Data Science Team Member on big data and other analytics projects by
  • 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 tools such as: R and RStudio, MapReduce\/Hadoop, in-database analytics, Window and MADlib functions
  • Explain how advanced analytics can be leveraged to create competitive advantage and how the data scientist role and skills differ from those of a traditional business intelligence analyst

Suggested Audience:

Managers of business intelligence, analytics, big data professionals, data and database professionals adding big data analytics to their skills, recent college graduates and graduate students in related discipline looking to move into Data Science.

Duration - 5 Days

Prerequisites

  • 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 (actually RStudio), which is an open source statistical tool and programming language
  • Experience with SQL

Course Curriculum

Expand All
  • Big Data Overview
  • State of the Practice in Analytics
  • The Data Scientist
  • Big Data Analytics in Industry Verticals
  • Discovery
  • Data Preparation
  • Model Planning
  • Model Building
  • Communicating Results
  • Operationalizing
  • Using R to Look at Data - Introduction to R
  • Analyzing and Exploring the Data
  • Statistics for Model Building and Evaluation
  • K Means Clustering
  • Association Rules
  • Linear and Logistic Regression
  • Naïve Bayesian Classifier
  • Decision Trees
  • Time Series Analysis
  • Text Analysis
  • Analytics for Unstructured Data - MapReduce and Hadoop
  • The Hadoop Ecosystem:In-database Analytics - SQL Essentials
  • Advanced SQL and MADlib for In-database Analytics
  • Operationalizing an Analytics Project
  • Creating the Final Deliverables
  • Data Visualization Techniques
  • Final Lab Exercise on Big Data Analytics

Certification

SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.

 

Resources

Technology Introduction Slides

SpringPeople Corporate Learning Center

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About the Instructor


Course Rating and Reviews

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This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

Contact Us

+91-80-6567-9700 (BLR)

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