Poslední úprava: prof. PhDr. Ladislav Krištoufek, Ph.D. (02.10.2023)
There are two components to the final score and grade:
- 3 tracks in DataCamp (35 points)
- 4 assessments in DataCamp (65 points)
Use this link to register to DataCamp, fill in the profile (properly, use your name, it will be used to track fulfillment of assignments), and complete your assignments there. If you do not have a @fsv.cuni.cz email, let me know, I will send you an invite.
Tracks (upload certificates of completion to the Study Roster, separately for the completed tracks):
- Track 1: Skill Track "R Programming" (7.5 points) - by 19 November 2023 CEST
- Track 2: Skill Track "Importing & Cleaning Data" (7.5 points) - by 10 December 2023 CET
- Track 3: Career Track "Data Analyst with R" (20 points) - by 4 February 2024 CET
Assessments (upload a printscreen of your finished assessments to the Study Roster, make sure you name is visible in the printscreen):
- Assessment 0: Understanding and Interpreting Data (5 points) - by 5 November CEST
- Assessment 1: R Programming (20 points) - by 19 November 2023 CEST
- Assessment 2: Importing & Cleaning Data with R (20 points) - by 10 December 2023 CET
- Assessment 3: Data Manipulation with R (20 points) - by 4 February 2024 CET
- Scoring:
- For Assessment 0, you need to get at least 120 score in DataCamp to pass and obtain 5 points.
- For Assessments 1-3:
- To get the score, use the DataCamp score x and fit it to (x-60)/80*100%
- At least 50%, i.e. at least 10 points, from each assessment is a necessary (not a sufficient) condition for passing the Data Analysis in R course.
- You can re-take the assessments twice a week during the whole semester. Remember that the last one counts (not necessarily the best one).
Grading scale follows the faculty regulations:
- A: 90+
- B: 80-90
- C: 70-80
- D: 60-70
- E: 50-60
- F: below 50