Only 5 days
Study Mode:
Classroom / Online / Hybrid
Next Date:
09/09/2024 (Monday)


On this Firebrand course, you'll get the knowledge and skills you need to participate in your businesses big data and analytics projects.

In just five days, you'll get practical foundation-level training, including an introduction to big data analytics technology and tools. Firebrand's unique Lab | Lecture | Review approach means you'll get hands on experience of how these methods are applied to real world business challenges by a practicing data scientist.

The course takes an "Open", technology-neutral approach. This includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle.

Firebrand's training for EMC's Data Science Associate certification will teach you how to use advanced analytic methods and big data analytics tools like MapReduce and Hadoop. After completing this course, you'll have the skills to:

  • Become an immediate contributor on a data science team
  • Assist re-framing a business challenge as an analytics challenge
  • Deploy a structured lifecycle approach to data analytics problems
  • Apply appropriate analytic techniques and tools to analyse big data
  • Tell a compelling story with the data to drive business action
  • Use open source tools such as R, Hadoop, and Postgres
  • Prepare for EMC Proven™ Professional Data Scientist certification

You will also have knowledge of the following areas:

  • Deploying the Data Analytics Lifecycle to address big data analytics projects
  • Reframing a business challenge as an analytics challenge
  • Applying appropriate analytic techniques and tools to analyse big data, create statistical models, and identify insights that can lead to actionable results
  • Selecting appropriate data visualisations 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

This course is ideal for anyone who wants to build an understanding of Data Science, including managers of business intelligence teams, data and database professionals and current business/data analysts.

Firebrand's course will prepare you for for the Proven™ Professional Data Scientist Associate (EMCDSA) Certification Exam - which you'll take during the course. This is covered by your Certification Guarantee.


  • Introduction and the Course Agenda
  • Introduction to Big Data Analytics
    • Big Data Overview
    • State of the Practice in Analytics
    • The Data Scientist
    • Big Data Analytics in industry verticals
  • The Data Analytics Lifecycle
    • Discovery
    • Data Preparation
    • Model Planning
    • Model Building
    • Communicating results
    • Operationalising
  • Review of Basic Data Analytic methods Using R
    • Introduction to R
    • Analysing and Exploring the Data
    • Statistics for Model Building and Evaluation
  • Advanced Analytics - Theory and Methods
    • K-Means Clustering
    • Association Rules
    • Linear Regression
    • Logistic Regression
    • Naïve Bayesian Classifier
    • Decision Trees
    • Time Series Analysis
    • Text Analysis
    • Advanced Analytics - Technologies and Tools
    • Analytics for Unstructured Data: MapReduce and Hadoop
    • The Hadoop Ecosystem
    • In-database Analytics - SQL Essentials
    • Advanced SQL and MADlib for In-database Analytics
  • The Endgame, or Putting it All Together
    • Operationalizing an Analytics Project
    • Creating the Final Deliverables
    • Data Visualization Techniques
    • Final Lab Exercise on Big Data Analytics

Exam Track

You'll sit the following exam at the Firebrand Training Centre, covered by your Certification Guarantee:

  • DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam

Exam details:

  • Duration: 90 minutes
  • 60 questions
  • Passing score: 60%

This exam is a qualifying exam for the Data Science Associate (EMCDSA) certification.

What's Included

  • Student Material Folder
  • Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, EMC Education Services, ISBN: 978-1118876138

Please note: Firebrand's EMCDSA course does not follow an accelerated schedule. Training days are from 9 to 6. However, delegates have access to our labs for self study after the teaching hours. Our instructor will be there to assist with any questions and reviews.


You should possess:

  • A strong quantitative background with a solid understanding of statistics
  • Experience with a scripting language, like Java, Perl, Python or R
  • Experience with SQL


Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
  6. You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying with the best. We’ve been named in the Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 135,000 professionals

* For residential training only. Doesn't apply for online courses
** Some exceptions apply. Please refer to the Exam Track or speak with our experts


Think you are ready for the course? Take a FREE practice test to assess your knowledge! 


Course Dates

Study Mode
09/09/2024 (Monday)
11/09/2024 (Wednesday)
10/12/2024 (Tuesday)
12/12/2024 (Thursday)
12/03/2025 (Wednesday)
14/03/2025 (Friday)
10/06/2025 (Tuesday)
12/06/2025 (Thursday)