Week 1: Predictive Analytics
Week 1 Lectures:
L0: Course introduction 2020 File PDF document
Week 1 Tutorials:
You find the same files on JupyterHub.
Week 1 Assignments:
Step 1: Join the workspace
To get started learning Python, you will need a DataCamp account. Please check the email you provided in the participation survey (and possibly its junk folder) for a personal invite link to the digital workspace that we have created on DataCamp.
If you already have a DataCamp account, you can log in, but otherwise you will be prompted to create a new account. Follow the steps, and at the end you should be automatically enrolled in our workspace. If not, try the link again.
If you are taken to your account dashboard, you should be able to find the Data Science for Business I group at the bottom of the page. After you navigate to the group workspace, you should be able to see the assignments found in Step 2 below.
Please note that your access to the Premium content starts from around January 2nd.
Step 2: Dive right in
Please complete both of the courses below. (There are other courses in the workspace and your DataCamp Premium account is valid for 6 months, so you can continue learning later at your own pace if you wish.)
The objective of this short crash course is to introduce you to the basics of the Python language. It is meant for complete beginners, for whom this is the first encounter with Python. It does not require you to install any additional software. This assignment is to be done individually.
The course is offered by DataCamp, so you will need to create an account (see Step 1) before you can complete this course. If you did Step 1 correctly, you should be able to see the course in the workspace as an assignment, but you can also find it via this link: https://www.datacamp.com/courses/intro-to-python-for-data-science.
Upon completion of all exercises in the course, you will be awarded with a certificate of completion. You need to upload your certificate to the submission box for Assignment 1.
This is a more advanced course in Python that deals with additional concepts. You should already be familiar with the basics, which means that you should be able to do the things shown in Intro to Python for Data Science. This course also does not require you to install any additional software. This assignment is to be done individually.
The course is offered by DataCamp, so you will need to create an account in Step 1 before you can complete this course. If you did Step 1 correctly, you should be able to see the course in the workspace as an assignment, but you can also find it via this link: https://www.datacamp.com/courses/intermediate-python-for-data-science.
Upon completion of all exercises in the course, you will be awarded with a certificate of completion. Similarly to the first assignment, you need to upload your certificate to the submission box for Assignment 1.
Step 3: Submit your DataCamp certificates
Though we can see your progress in the courses in DataCamp, it can be very difficult sometimes to match your DataCamp accounts to our records. Therefore, we kindly ask you to submit the completion certificates to this submission box below in order to ensure that you receive points for this assignment.Deadline: January 14th (Tuesday), 2020 @ 23:59:59
Despite the official deadline, we recommend you to complete the DataCamp courses as early as possible! Preferably before the 1st coding tutorial on January 8th. 2020.
Please submit here the two completion certificates from the Intro to Python for Data Science and Intermediate Python for Data Science courses. Name your file studentNum-lastname-firstname-a1-1.pdf and studentNum-lastname-firstname-a1-2.pdf.
The grading of this assignment will be as follows:
- 0 = fail (didn't complete either course),
- 1 = pass (completed one course),
- 2 = good (completed both courses).