translating problems into (data driven) solutions
Post on 12-Apr-2017
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Three (45 min) sessions today
1. Business origins and context of Data Science
2. Skills and competence
3. Process of analytics
4. Problem solving
5. Discussion of one case question
1. Swedish Data Laws
2. European Data Laws (draft)
3. Ethics of Data use
Michelle VithalBergström
&
Gerd Bergh
1. Business origins and context of Data Science
2. Skills and competence
3. Process of analytics
4. Problem solving
5. Discussion of one case question
“In God we trust. All others must bring data.”
- W. Edwards Deming
Famous 1950 speech: http://hclectures.blogspot.se/1970/08/demings-1950-lecture-to-japanese.html
1. Business origins and context of Data Science
2. Skills and competence
3. Process of analytics
4. Problem solving
5. Discussion of one case question
1. Business origins and context of Data Science
2. Skills and competence
3. Process of analytics
4. Problem solving
5. Discussion of one case question
Top 5 Skills
1. Python
2. R
3. SQL
4. Hadoop
5. Java
http://www.datasciencecentral.com/profiles/blog/show?id=6448529%3ABlogPost%3A419240&commentId=6448529%3AComment%3A420040
+
1. Curiosity
2. Business Acumen
3. Communication
4. Creativity
1. Business origins and context of Data Science
2. Skills and competence
3. Process of analytics
4. Problem solving
5. Discussion of one case question
The How of Data Science
- ANOVA- T-Tests - Linear
regressions- etc
- Clustering- Graphs- Content-driven- Simulation- etc
How to problem solve?
1. Goal (Question)
2. Data
3. Computation (Process)
4. Analytics (Answer)
5. Translation
1. Business origins and context of Data Science
2. Skills and competence
3. Process of analytics
4. Problem solving
5. Discussion of one case question
Problem solving activity
• Inom vilket tidsintervall, räknat som heltimme (t. ex. 13:00-13:59), skedde flest köp för åldersgruppen 18-25 under 2015 på surfplatta(Tablet) inom segmentet (merchant_group) Entertainment?
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