SDSU	CS 696 Intro to Big Data: Tools and Methods Spring Semester, 2020 Lecture Notes	DCS
	To Course Web Site San Diego State University -- This page last updated 23-Apr-20

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This page contains links to lecture notes for the CS 696 Intro to Big Data: Tools and Methods course. This page will be updated as more notes become available.

Lecture Notes By Topic

1. Class Intro
2. Big Data Intro
3. Python
4. SciPy
5. Panda Data Structures (zipped notebook)
6. DataFrame (zipped notebook)
7. Statistics, Sampling, Bloom
8. Ploting (zipped notebook)
9. Data Manipulation (zipped notebook)
10. Dask
11. Regression
12. Scikit Learn, Bayes
13. Clustering
14. Spark Intro
15. Spark 2
16. Spark Cluster, AWS
17. Spark ML
18. Spark Clustering
19. Spark on AWS
20. Kafka
21. Kafka, Spark Streaming
22. Cassandra
23. Kafka Pipelines, Mircoservices
24. Display, End Remarks

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Lecture Video By Date

Tue	Thur
Jan 21	Jan 23 Class Intro
Jan 28 Big Data Intro	Jan 30 Panda Data Structures
Feb 4 Dataframe , Ploting	Feb 6 Data Manipulaton
Feb 11 - No Class	Feb 13 - No Class
Feb 18 Dask, Statisitics	Feb 20 No Video, technical issue
Feb 25 Scikitlearn, Bayes	Feb 27 Clustering
Mar 3 Assignment 1	Mar 5 Assignment 2, Spark
Mar 10 Spark, Spark Master/Slave	Mar 12 Assignment 2 Questions, Spark ML
Mar 17 More Spark ML	Mar 19 Spark ML, Spark Cluster
Mar 24 Spark Neural Networks, S3	Mar 26 Spark on AWS
Mar 31 Spring Break	Apr 2 Spring Break
Apr 7 Kafka	Apr 9 Kafka, Spark Streaming
Apr 14 Kafka, Spark Streaming	Apr 16 No Video
Apr 21 Cassandra, Kafka Pipelines	Apr 23 Display, End Remarks
Apr 28	Apr 30
May 5	May 7 Last Class
May 12	May 14 Projects Due

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