IT & Programování
Začátečník
Online
Advanced Methods in Data Science and Big Data Analytics
This course builds on skills developed in the Data Science and Big Data Analytics course.
Tyto autorizované kurzy jsou dostupné pouze v anglickém jazyce, proto i popis školení není přeložen.
Školení dodává autorizovaný distributor DNS a.s.
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.
Cíle kurzu
- 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
Osnova kurzu
1
- Lesson 2: Apache Hadoop
- Lesson 3: Hadoop Distributed File System
- Lesson 4: YARN
- Lesson 1: Hadoop Ecosystem
- Lesson 2: Pig
- Lesson 3: Hive
- Lesson 4: NoSQL - Not Only SQL
- Lesson 5: HBase
- Lesson 6: Spark
- 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
- 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
- Lesson 1: Simulation
- Lesson 2: Random Forests
- Lesson 3: Multinomial Logistic Regression
- Lesson 1: Perception and Visualization
- Lesson 2: Visualization of Multivariate Data Module
Požadavky
Completion of the Data Science and Big Data Analytics course
Proficiency in at least one programming language such as Java or Python
Důležité informace
Materiály
Materials are in electronic form from Dell Technologies.
Kód kurzu
PU23220056
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