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Data Science & Big Data Analytics Training

Live Online & Classroom Enterprise Training

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Get introduced to big data and data analytics lifecycle to address business challenges that leverage big data with SpringPeople EMC Data Science and Big Data Analytics training. With this course, gain an in-depth knowledge of basic and advanced analytic methods, get introduced to big data analytics technology and tools, including MapReduce and Hadoop and how these methods and tools are applied to real-world business challenges.

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  • CloudLabs

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  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

PDP BG 1
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What is EMC Data Science & Big Data Analytics Training about?

Master the core concepts of Big Data Analytics and Lifecycle and deploy  Data Analytics Lifecycle to address big data analytics projects.

Understand how to communicate analytic insights to business sponsors and analytic audiences and get practical knowledge to use tools such as R and RStudio, MapReduce/Hadoop, in-database analytics, Window and MADlib functions with SpringPeople EMC Data Science training.

The  EMC Data Science and Big Data Analytics training will provide candidates hands-on experience on advanced SQL and MADlib for In-database analytics and advanced analytics methods such as K Means Clustering, Association Rules,  Linear Regression, logistic regression and much more.

SpringPeople is the authorized training partner of EMC. This training will help candidates to prepare for the EMC Data Science and Big Data Analytics certification (EMCDSA).

What are the objectives of EMC Data Science & Big Data Analytics Training ?

After attending the EMC Data Science and Big Data analytics training, candidates will be able to:

        • Address big data analytics projects
        • 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 and work on  R and RStudio, MapReduce/Hadoop, in-database analytics, Window and Madlib functions
        • Pass EMC Data Science and Big Data Analytics certification
        Available Training Modes

        Live Online Training

        Classroom Training

         

        PDP BG 2

        Who is EMC Data Science & Big Data Analytics Training for?

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        What are the prerequisites for EMC Data Science & Big Data Analytics Training?

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          Course Outline

          • 1. Introduction to Big Data Analytics
            • Big Data Overview
            • State of the Practice in Analytics
            • The Data Scientist
            • Big Data Analytics in Industry Verticals
          • 2. Data Analytics Lifecycle
            • Discovery
            • Data Preparation
            • Model Planning
            • Model Building
            • Communicating Results
            • Operationalizing
          • 3. Review of Basic Data Analytic Methods Using R
            • Using R to Look at Data - Introduction to R
            • Analyzing and Exploring the Data
            • Statistics for Model Building and Evaluation
          • 4. Advanced Analytics - Theory And Methods
            • K Means Clustering
            • Association Rules
            • Linear and Logistic Regression
            • Naive Bayesian Classifier
            • Decision Trees
            • Time Series Analysis
            • Text Analysis
          • 5. 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
          • 6. 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

          Who is the instructor for this training?

          The trainer for this course has deep expertise in deploying and applying appropriate analytic techniques and tools to analyze big data. With hands-on experience using R and RStudio, MapReduce/Hadoop, in-database analytics, Window and MADlib functions, the instructor is well experienced and also mentors Big Data Analytics professionals at all levels.

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          Data Science & Big Data Analytics Training - Certification & Exam

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