Advanced Methods in Data Science and Big Data Analytics (AMDSBDA) – Outline

Outline detalhado do curso

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 tNLP
• 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 tSNA 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 Module