Course schedule#
Welcome to our course Big Data & Web Analytics! 👋
This page contains an outline of the topics, content, and assignments for the semester.
Note
This overview will be updated as the semester progresses.
For a semester overview, take a look at the course-overview.
Week |
Nr. |
Date |
Topic |
Resources |
|---|---|---|---|---|
1 |
1 |
15.03. |
Google’s Marketing Model |
|
1 |
2 |
15.03. |
Big Data & Web Analytics |
|
1 |
3 |
15.03. |
Data manipulation with pandas |
|
2 |
4 |
22.03. |
Decision Trees 1 |
|
2 |
5 |
22.03. |
Decision Trees 2 |
|
3 |
6 |
29.03. |
The Random Forest Algorithm |
|
3 |
7 |
29.03. |
Classification with random forest |
|
3 |
8 |
29.03. |
Boosted tree classification |
|
3 |
9 |
29.03. |
Boosted tree regression |
|
4 |
10 |
05.04. |
How Analytics/ML drives Marketing |
|
4 |
11 |
05.04. |
Deep Learning (OpenAI) |
|
5 |
12 |
12.04. |
Deep Learning |
|
5 |
13 |
12.04. |
Computer vision |
|
6 |
14 |
19.04. |
Transfromers & Hugging Face |
|
7 |
15 |
26.04. |
Clustering |
|
7 |
16 |
26.04. |
K-Means clustering |
|
8 |
17 |
03.05. |
Hierarchical clustering analysis |
|
8 |
18 |
03.05. |
Analytics Summary |
|
9 |
19 |
10.05. |
Digital Customer Journey |
|
9 |
20 |
10.05. |
Fallstudie Werbeinventar |
|
9 |
21 |
10.05. |
Google Analytics |
Application exercise |
10 |
22 |
17.05. |
See-Think-Do-Framework |
|
10 |
23 |
17.05. |
Facebook Kennzahlen |
|
10 |
24 |
17.05. |
Fallstudie Facebook |
|
10 |
25 |
17.05. |
Facebook Booklet |
|
11 |
26 |
24.05. |
Kennzahlensystem |
|
11 |
27 |
24.05. |
Social Media Kennzahlen |
|
11 |
28 |
24.05. |
Social Media Template |
|
11 |
29 |
24.05. |
Merchandise Pivot Case Study |
|
11 |
30 |
24.05. |
Fallstudie Facebook Ads Kampagnen |
|
12 |
31 |
07.06. |
UTM Tracking |
|
12 |
32 |
07.06. |
Google Ads Einrichtung |
|
12 |
33 |
07.06. |
Google Ads - Werbung bei Google |
|
12 |
34 |
07.06. |
Social Media Tools |