SDSU	CS 649 Big Data: Tools and Methods Spring Semester, 2022 Lecture Notes	DCS
	To Course Web Site San Diego State University -- This page last updated 3-May-22

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This page contains links to lecture notes for the CS 649 Big Data: Tools and Methods course. This page will be updated as more notes become available.

Lecture Notes By Topic

1. Course Introduction
2. Big Data Intro
3. Python
4. SciPy
5. Panda Series notebook zipped slides
6. Dataframe notebook zipped slides
7. Data Manipulation notebook zipped slides
8. Ploting notebook zipped slides
9. Dashboards
10. Spark Intro
11. Spark-Panda API
12. PySpark 2
13. Statistics, Sampling, Bloom
14. Memoization
15. Panda Alternatives
16. Regression
17. Assignment 1
18. Scikit Learn, Bayes
19. Clustering
20. Spark ML
21. Assignment 2 Dates
22. Spark Clustering
23. Running Spark
24. Running Spark, Partition
25. No SQL, Cassandra
26. Kafka
27. Kafka, Spark Streaming
28. Exam Comments
29. Kafka Pipelines, Mircoservices
30. End Remarks

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Lecture Video By Date

Tuesday	Thursday
Jan 18	Jan 20 Course Intro
Jan 25 Big Data Intro	Jan 27 Python, SciPy, Panda Series
Feb 1 Dataframe, Data Manipulation	Feb 3 Data Manipulation
Feb 8 Ploting	Feb 10 Dashboards, Spark Intro
Feb 15 Spark-Panda API, PySpark 2	Feb 17 PySpark 2, Statistics
Feb 22 Statistics, Sampling	Feb 24 Sampling, Bloom, Panda Alternatives
Mar 1 Panda Alternatives	Mar 3 Regression
Mar 8 Assignment 1, Regression	Mar 10 Regression, Scikit Learn, Bayes
Mar 15 Clustering	Mar 17 Spark ML
Mar 22 Spark ML	Mar 24 Spark Clustering
Mar 29 No Class Spring Break	Mar 31 No Class Spring Break
Apr 5	Apr 7
Apr 12 Running Spark	Apr 14 Running Spark, Partition
Apr 19 No SQL, Cassandra	Apr 21 Cassandra
Apr 26 Kafka	Apr 28 Kafka, Spark Streaming
May 3	May 5
May 10	May 12 Project Due

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