MGMT4966/MGMT6560 Spring 2018
Contact Info
Office/Lab Hours
Schedule
Session 1
Session 2
Session 3
Session 4
Session 5
Session 6
Session 7
Session 8
Session 9
Session 10
Session 11
Session 12
Session 13
Session 14
Session 15 (midterm)
Session 16
Session 17
Session 18
Session 19
Session 20
Session 21
Session 22
Session 23
Assignments
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Assignment 5
Assignment 6
Assignment 7
Assignment 8
Grading
Project
MGMT6560 Fall 2018
Contact Info
Office/Lab Hours
Schedule
Session 1
Session 2
Session 3
Session 4
Session 5
Session 6
Session 7
Session 8
Session 9
Session 10
Session 11
Session 12
Session 13
Session 14
Session 15 (midterm)
Session 16
Session 17
Session 19
Session 20
Session 21
Session 22
Session 23
Session 24
Session 25
Session 26
Assignments
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Assignment 5
Assignment 6
Assignment 7
Midterm Appeal
Final Exam
Grading
Project
MGMT6560 Spring 2019
Contact Info
Office/Lab Hours
Schedule
Session 1
Session 2
Session 3
Session 4
Session 5
Session 6
Session 7
Session 8
Session 9
Session 10
Session 11
Session 12
Session 13
Session 14 (midterm)
Session 15
Session 16
Session 17
Session 18
Session 19
Session 20
Session 21
Session 22
Session 23
Session 24
All Notebooks
Assignments
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Assignment 5
Assignment 6
Assignment 7
Midterm Review
Project draft
Assignment 8
Assignment 9
Grading
Project
mgmt6560-fa17-Tech Fundamentals
Contact Info
Office/Lab Hours
Schedule
Class 1
Class 2
Class 3
Class 4
Class 5
Class 6
Class 7
Class 8 - Midterm
Class 9
Class 10
Class 11
Class 12
Class 13
Class 14
Final
Grading
Assignments
Project 1
Project 2
Compute Environment
Git/GitHub
Anaconda
Additional Resources
Online Classes
Podcasts
Git
Python
R
Books
Proposals
Data 8 @ Rensselaer
Winter Break Projects
Important Links
Course Materials
Jupyterhub
LMS
Join Slack (rpi email)
Dropbox Share
Course Website
RPI Analytics Dojo
>
MGMT6560 Spring 2019
>
Schedule
> Session 2
Session 2
Class Objective:
Readings (To be done before class):
In Class Activities:
Session 2
Session 2
Class Objective:
The goal will be to you how to work in Jupyter Notebooks and with Git/Github.
Readings (To be done before class):
Additional Suggested Reading:
Chapter 1 from Doing Data Science
and
Chapter 1 from Data Science for Business
(Both available through library).
Command Line Cheat Sheet
Assignment Process
Running Jupyter locally
In Class Activities:
Running code, Data and Packages
Topic
Link
Python Overview
Basic Data Structures
Numpy
Pandas
Lab
Homework 1