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This course builds on skills developed in the Data Science and Big Data Analytics course. The main focus areas cover Hadoop (including Pig, Hive, and HBase), Natural Language Processing, Social Network Analysis, Simulation, Random Forests, Multinomial Logistic Regression, and Data Visualization. Taking an “Open” or technology-neutral approach, this course utilizes several open-source tools to address big data challenges. 

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What You'll Learn

Upon successful completion of this course, participants should be able to:

  • Develop and execute MapReduce functionality.
  • Gain familiarity with NoSQL databases and Hadoop Ecosystem tools for analyzing large-scale, unstructured data sets.
  • Develop a working knowledge of Natural Language Processing, Social Network Analysis, and Data Visualization concepts.
  • Use advanced quantitative methods, and apply one of them in a Hadoop environment.
  • Apply advanced techniques to real-world datasets in a final lab.

Who Should Attend

  • Aspiring Data Scientists, data analysts that have completed the associate level Data Science and Big Data Analytics course, and 

  • Computer scientists wanting to learn MapReduce and methods for analyzing unstructured data such as text.

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Prerequisites

  • Completion of the Data Science and Big Data Analytics course.
  • Proficiency in at least one programming language such as JAVA or Python.

Learning Journey

Coming Soon...

Module 1: MapReduce and Hadoop

  • Lesson 1: The MapReduce Framework
  • Lesson 2: Apache Hadoop
  • Lesson 3: Hadoop Distributed File System
  • Lesson 4: YARN

Module 2: Hadoop Ecosystem and NoSQL

  • Lesson 1: Hadoop Ecosystem
  • Lesson 2: Pig
  • Lesson 3: Hive
  • Lesson 4: NoSQL - Not Only SQL
  • Lesson 5: HBase
  • Lesson 6: Spark

Module 3: Natural Language Processing

  • Lesson 1: Introduction to NLP
  • Lesson 2: Text Preprocessing
  • Lesson 3: TFIDF
  • Lesson 4: Beyond Bag of Words
  • Lesson 5: Language Modeling
  • Lesson 6: POS Tagging and HMM
  • Lesson 7: Sentiment Analysis and Topic Modeling

Module 4: Social Network Analysis

  • Lesson 1: Introduction to SNA and Graph Theory
  • Lesson 2: Most Important Nodes
  • Lesson 3: Communities and Small World
  • Lesson 4: Network Problems and SNA Tools

Module 5: Data Science Theory and Methods

  • Lesson 1: Simulation
  • Lesson 2: Random Forests
  • Lesson 3: Multinomial Logistic Regression

Module 6: Data Visualization

  • Lesson 1: Perception and Visualization
  • Lesson 2: Visualization of Multivariate Data

This course prepares the student for the Specialist - Data Scientist, Advanced Analytics (DECS-DS) certification exam and track.

Frequently Asked Questions (FAQs)

  • Why get Dell EMC certified?

    Dell EMC certifications validate your skills and expertise in managing and optimizing Dell EMCs industry-leading IT infrastructure solutions.

    These certifications demonstrate your commitment to professional development and can open doors to new career opportunities in data storage, data protection, servers, networking, and cloud technologies.

  • What to expect for the examination?

    Dell EMC offers a variety of certification exams across different technology tracks and skill levels.

    The exams typically consist of multiple-choice questions, and some may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Dell EMC from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Dell EMC certification valid for?

    Most Dell EMC Proven Professional certifications do not expire. They will continue to be valid as issued, and you don't need to recertify.

    However, certain certifications achieved in 2022 or 2023 may be eligible for a new skill certification under Dell's updated program.

    For any certifications that do expire, the expiration date will be clearly noted in the candidate's CertTracker account. You will also receive notification emails about upcoming expirations.

    Note: Certification requirements and policies may be updated by Dell EMC from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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