translating problems into (data driven) solutions

23
TRANSLATING PROBLEMS INTO (DATA-DRIVEN) SOLUTIONS Claire Ingram

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TRANSLATING PROBLEMS INTO (DATA-DRIVEN) SOLUTIONS

Claire Ingram

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

IT

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

Data Processing

• Data Engineer

• Data Wrangler

• Data Analyst

• Business Analyst

• Data Scientist

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?

Questions &

Comments?

Claire Ingram

[email protected]

@Claire_EBI

slides.claireingram.se

FURTHER READING:

How-to: http://www.Slideshare.Net/boozallen/booz-allen-field-guide-to-data-sciencePOSTGRESQL: https://www.postgresql.org/docs/8.0/static/tutorial.html