EMC Firebrand's training for EMC's Data Science Associate (EMCDSA)

- Only 5 Days

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.

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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.

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Seven reasons why you should sit your Data Science Associate course with Firebrand Training

  1. You'll be Data Science Associate certified in just 5 days. With us, you’ll be Data Science Associate trained in record time
  2. Our Data Science Associate course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  3. Pass Data Science Associate first time or train again for free. This is our guarantee. We're sure you'll pass your Data Science Associate course first time. But if you don’t, come back within a year, and only pay for accommodation and exams. Everything else is free
  4. You’ll learn more Data Science Associate. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  5. You’ll learn Data Science Associate 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
  6. You’ll be studying Data Science Associate with the best. We have the Q-For quality label, recognising our standards and professionalism in the training market. As well as winning many more awards, we’ve trained and certified 72,589 professionals, and we’re partners with all of the big names in the business
  7. You'll do more than study Data Science Associate courseware. We use practical exercises to make sure you can apply your new knowledge to the work environment. Our instructors use demonstrations and real-world experience to keep the day interesting and engaging

See prices now to find out how much you could save when you train at twice the speed.

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Other accelerated training providers rely heavily on lecture and independent self-testing and study.

Effective technical instruction must be highly varied and interactive to keep attention levels high, promote camaraderie and teamwork between the students and instructor, and solidify knowledge through hands-on learning.

Firebrand Training provides instruction to meet every learning need:

  • Intensive group instruction
  • One-on-one instruction attention
  • Hands-on labs
  • Lab partner and group exercises
  • Question and answer drills
  • Independent study

This information has been provided as a helpful tool for candidates considering training. Courses that include certification come with a certification guarantee. Pass first time or train again for free (just pay for accommodation and exams on your return). We do not make any guarantees about personal successes or benefits of obtaining certification. Benefits of certification determined through studies do not guarantee any particular personal successes.

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  • 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

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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.

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  • 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.

Firebrand Training offers top-quality technical education and certification training in an all-inclusive course package specifically designed for the needs and ease of our students. We attend to every detail so our students can focus solely on their studies and certification goals.

Our Accelerated Learning Programmes include:

  • Intensive Hands-on Training Utilising our (Lecture | Lab | Review)TM Delivery
  • Comprehensive Study Materials, Program Courseware and Self-Testing Software including MeasureUp *
  • Fully instructor-led program with 24 hour lab access
  • Examination vouchers **
  • On site testing ***
  • Accommodation, all meals, unlimited beverages, snacks and tea / coffee****
  • Transportation to/from designated local railway stations
  • Examination Passing Policy

Our instructors teach to accommodate every student's learning needs through individualised instruction, hands-on labs, lab partner and group exercises, independent study, self-testing, and question/answer drills.

Firebrand Training has dedicated, well-equipped educational facilities where you will attend instruction and labs and have access to comfortable study and lounging rooms. Our students consistently say our facilities are second-to-none.

Firebrand goes digital

We’re currently migrating from printed to digital courseware. Some courseware is already available in digital, while other books remain in printed form. To find out if this course is digital, call us on +32 (0)2 234 77 05.

There are several benefits of easy-to-use digital courseware: downloads are immediate, and you’ll always have your courseware available wherever you are. You won’t need to wait for a printed book to be delivered before you start learning – and it’s better for the environment. You can choose to download the courseware to your own device, or borrow one of ours.

Considering a Microsoft course? Always have the most up-to-date Microsoft digital courseware with ‘Fresh Editions’. This gives you access to all versions of digital courseware – you’ll receive updates and revisions of your textbook, at no charge, for the life of that course.

Examination Passing Policy

Should a student complete a Firebrand Training Program without having successfully passed all vendor examinations, the student may re-attend that program for a period of one year.  Students will only be responsible for accommodations and vendor exam fees.

Please note

  • * Not on all courses
  • ** Examination vouchers are not included for the following courses: GIAC, CREST and CISSP CBK Review. Exam vouchers may also not be included for Apprentices and will require a separate purchase by an employer due to Education and Skills Funding Agency guidelines.
  • *** On site testing is not included for our GIAC, CREST or ITIL Managers and Revision Certification Courses
  • **** Accommodation not included on the CISSP CBK Review Seminar

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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

Unsure whether you meet the prerequisites?

Don’t worry - we’ll discuss your technical background, experience and qualifications to determine whether this accelerated course suits you.

Just call us on +32 (0)2 234 77 05 and speak to one of our enrolment consultants.

Firebrand is an immersive environment and requires commitment. Some prerequisites are simply guidelines; you may find your unique experience, attitude and determination enables you to succeed on your accelerated course.

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Latest Data Science Associate Reviews from our students

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EMC Data Science Associate Course Dates

EMC - Firebrand's training for EMC's Data Science Associate (EMCDSA)

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Status

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11/11/2019 (Monday)

15/11/2019 (Friday)

Finished

 

6/1/2020 (Monday)

10/1/2020 (Friday)

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16/3/2020 (Monday)

20/3/2020 (Friday)

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23/3/2020 (Monday)

27/3/2020 (Friday)

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Latest Data Science Associate Reviews from our students

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

Here's the Firebrand Training review section. Since 2001 we've trained exactly 72,589 students and asked them all to review our Accelerated Learning. Currently, 96.76% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"Firebrand are a fantastic organisation dedicated to ensuring each and every student goes away with the knowledge and credentials to progress their career. From the Mentors, to the Tutors, to the team at the training centers, Everyone really cares about making sure you have the best possible experience and learn everything you could possibly need to progress in your field. "
Jay Cooper, Bourne Leisure. (11/11/2019 to 15/11/2019)

"Good pace, detailed explanation of course content, clear delivery."
Anonymous. (17/12/2018 to 20/12/2018)

"A good, very fast paced course. It gave me a good idea of what a MSc in data science/statistics would entail."
N.L.. (17/12/2018 to 20/12/2018)

"As always, great experience. Lots of material covered. It will be key to put it into practice in the upcoming months."
Jason Verhaeghe, CPU BVBA. (17/12/2018 to 20/12/2018)

"As usual great experience. Lots of material covered. It is now key to put into practice thank you!"
Jason Verhaeghe, CPU Bupa. (17/12/2018 to 20/12/2018)

Latest Data Science Associate Reviews from our students

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