sstirlin/msbx5420spring2019

Course material for MSBX5420 at CU-Boulder

MSBX 5420 - Spring 2019

Unstructured and Distributed Data Modeling and Analysis

Leeds School of Business, University of Colorado Boulder

Instructor: Dr. Spencer Stirling

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Course Description

Syllabus

Schedule (subject to change)

Date	Topic
Week 1 January 14	VM Installation Course Overview What is Virtualization? Virtualization-lite: Docker HOMEWORK Linux Basics and Bash
Week 2 January 21	MLK NO CLASS HOMEWORK Intro to Python
Week 3 January 28	COMPLETE BEFORE CLASS Install standalone Spark HOMEWORK Stats in Python SOLUTIONS Stats in Python
Week 4 February 4	Intro to Spark HOMEWORK NASA weblogs
Week 5 February 11	Spark architecture EXAM Exam 1
Week 6 February 18	Install Spark and HDFS clusters JSON tutorial Intro to HDFS HOMEWORK Manage source code with git NO OTHER HOMEWORK THIS WEEK
Week 7 February 25	Intro to DataFrames HOMEWORK CWL analysis
Week 8 March 4	Working with DataFrames HOMEWORK COMBINED WITH WEEK 9
Week 9 March 11	More DataFrames HOMEWORK ETL CWL data
Week 10 March 18	Install Kafka cluster Intro to Kafka EXAM Exam 2
March 25	Spring Break NO CLASS
Week 11 April 1	REST APIs HOMEWORK Ingest CitiBike into Kafka
Week 12 April 8	Consuming from Kafka HOMEWORK COMBINED WITH WEEK 13
Week 13 April 15	Intro to Elasticsearch and Kibana HOMEWORK CitiBike Elasticsearch analysis
Week 14 April 22	Ask Me Anything lecture
Week 15 April 29	Elasticsearch query language: Lucene
Final	Final

msbx5420spring2019's Issues

Import Error: No module named numpy

I just wanted to make a note of an issue I had when following the Python tutorials for the week 2 homework, just in case anyone else in the class runs in the same issue.

When importing Numpy in the "intro_to_python02.mp4" video, I was getting an error telling me it could not find a module named numpy: Import error: No module named numpy

This is pretty easy to fix through the terminal of the vagrant machine, but before you install numpy, you need to make sure you run the code conda activate py37 to affect the correct environment. Once you run that, you can run either pip install numpy, or conda install numpy to install numpy and have it be found as a module on Jupyter notebooks.