Data Science - high level intro

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Talk given @SADEX (Swiss Association for Data Experts)

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  • Data Science - high level intro

    1. 1. SADEX Swiss Association of Data Expertshttp://lwsffhs.wordpress.com http://www.sadex.ch Follow @blattnerma Dr. Marcel Blatter
    2. 2. “Challenges and opportunities for Data Science” Dr. Marcel Blatter
    3. 3. What is Data Science? Dr. Marcel Blatter
    4. 4. What is Data Science?Where is the “Science” in Data Science? Dr. Marcel Blatter
    5. 5. What is Data Science? Where is the “Science” in Data Science?Why should companies care? Dr. Marcel Blatter
    6. 6. What is Data Science? Finding an answer for each of these questions is a challenge! Where is the “Science” in Data Science?Why should companies care? Dr. Marcel Blatter
    7. 7. What is Data Science? Finding an answer for each of these questions is a challenge! Where is the “Science” in Data Science? Having an answer for each of these questions gives opportunities!Why should companies care? Dr. Marcel Blatter
    8. 8. What is Data Science? Richard Feynman: ,,Knowing the name of somethingdoes not mean to know something” Dr. Marcel Blatter
    9. 9. What is Data Science?Cern Is this a Data Scientist? Dr. Marcel Blatter
    10. 10. What is Data Science?Cern Is this a Data Scientist? Data Science is not equal Big Data Dr. Marcel Blatter
    11. 11. What is Data Science?Nice guy Is this a Data Scientist? Dr. Marcel Blatter
    12. 12. What is Data Science?Nice guy Is this a Data Scientist? Data Science is not equal showing nice charts Dr. Marcel Blatter
    13. 13. What is Data Science?fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generation Dr. Marcel Blatter
    14. 14. What is Data Science? Number crunching (machine)High Low fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generation Dr. Marcel Blatter
    15. 15. What is Data Science? Number crunching (machine)High Low fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generationLow High Interpretation (human) Dr. Marcel Blatter
    16. 16. What is Data Science?fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generation Dr. Marcel Blatter
    17. 17. What is Data Science? fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generationHacking Skills Dr. Marcel Blatter
    18. 18. What is Data Science? fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generationHacking Skills Math, Modeling Dr. Marcel Blatter
    19. 19. What is Data Science? fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generationHacking Skills Communication, Math, Modeling Visualization Dr. Marcel Blatter
    20. 20. What is Data Science? Iterative Process / Data Lifecycle fetch’n magic magic magic store part I: part II: part III: the information- Information- Knowledge- data generation presentation generation DomainHacking Skills Knowledge Communication, Math, Modeling Visualization Dr. Marcel Blatter
    21. 21. What is Data Science? Data Science is a holistic view on the lifecycle of heterogenous data to infer domain specific knowledgegenerating competitive business advantages. Dr. Marcel Blatter
    22. 22. Where is the “Science” in Data Science?If you have to label something with “science”, then the “science” is probably only in the label. Dr. Marcel Blatter
    23. 23. Where is the “Science” in Data Science? p(y|x)p(x) Just using machine learningp(x|y) = p(y) methods is not X p(y) = p(y, x) science. x Dr. Marcel Blatter
    24. 24. Where is the “Science” in Data Science? Just hunting for correlations is not science. Dr. Marcel Blatter
    25. 25. Where is the “Science” in Data Science?We need at least the exploratory approach of science. This means:learning to ask the right questions and giving answers with explanatory power. Dr. Marcel Blatter
    26. 26. Why should companies care?Data science is not just about reporting something. It’s about exploration and invention. Dr. Marcel Blatter
    27. 27. Why should companies care?New discoveries can turn into products or competitive advantages. Dr. Marcel Blatter
    28. 28. Thank you for you attention. Dr. Marcel Blatter

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