AMDSBDA – Advanced Methods in Data Science and Big Data Analytics

  • Duration: 10 weeks
Categories:

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

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