Introduction to Python for Data Science

Feb 23, 20178 likes4,834 views

This document provides an introduction and overview of resources for learning Python for data science. It introduces the presenter, Karlijn Willems, a data science journalist who has worked as a big data developer. It then lists several useful links for learning Python, statistics, machine learning, databases, and data science tools like Apache Spark. Finally, it recommends people to follow in data science and analytics fields.

Who’s Karlijn?
● Data Science Journalist @DataCamp
● Master’s degrees in Information Management, Literature &
Linguistics
● Worked as a junior big data developer with Scala, Hadoop &
Spark
● Love for literature, languages, data science & big data
● … I also love to talk, so please stop me whenever you have
any questions!
@willems_karlijn

DataCamp - Learning By Doing
✓ Interactive learning for R, Python  
& Data Science 
 
✓ Over 730,000 learners, 70% working  
professionals
✓ +1000 business groups

Data Science - Useful Links
● Data Science Industry Infographic
● Ba le of the Data Science Venn Diagrams
● …

Useful Links
● Khan Academy
● Python Statistics For Data Science Resources
● Statistical Thinking in Python (Part 1)
● Scipy Tutorial: Linear Algebra
● Algorithms with Stanford Unversity
● Machine Learning with Stanford University (Andrew Ng)
● Tom Mitchell, “Machine Learning”

Useful Links
● Fundamentals of Computer Science (EdX course)
● End-to-end Development Process (Article)
● Intro to Python for Data Science Course (DataCamp)

Useful Links
● Introduction to Databases with Stanford University
● Principles of Database Management (Youtube Series)
● Alejandro Vaisman & Esteban Zimányi, “Data Warehouse
Systems”
● SQL with DataCamp (soon!)
● Introduction to Databases in Python

Useful Links
● Martin Fowler, “Continuous Integration”

Useful Links
● Introduction to Apache Spark (and follow-up courses on
EdX)
● Hadoop: The Deﬁnitive Guide
● Martin Odersky, “Programming in Scala”

Useful Links
● Kaggle
● DrivenData
● Meetup
● Data.World
● Github Tutorial
You don’t need to start from scratch!

Useful Links
● Galvanize
● Quantbros
● General Assembly
● LinkedIn
● Your network!
● …

Useful Links
● DataTau
● Reddit - /r/datascience, /r/python, …
● KD Nuggets
● DataCamp Community
● FiveThirtyEight
● Stack Overﬂow
● ….

People To Follow
● DJ Patil, Chief Data Scientist with the White House.
● Gregory Piatetsky, KDnuggets President, #Analytics, #BigData,
#DataMining, #DataScience expert, KDD & SIGKDD co-founder, was Chief
Scientist at 2 startups, part-time philosopher.
● Ben Lorica, Chief Data Scientist @OReillyMedia, Program Director of
@strataconf & @OReillyAI. He is the host of the O’Reilly Data Show podcast.
● Andrew Ng, Chief Scientist of Baidu; Chairman and Co-Founder of Coursera;
Stanford CS faculty.
● As a top Big Data inﬂuencer, Kirk Borne, the Principal Data Scientist at
@BoozAllen, Ph.D. Astrophysicist, ♡ Data Science, is deﬁnitely worth
following!

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Introduction to Python for Data Science

1. Introduction to Python for Data Science

2. Who’s Karlijn? ● Data Science Journalist @DataCamp ● Master’s degrees in Information Management, Literature & Linguistics ● Worked as a junior big data developer with Scala, Hadoop & Spark ● Love for literature, languages, data science & big data ● … I also love to talk, so please stop me whenever you have any questions! @willems_karlijn

3. DataCamp - Learning By Doing ✓ Interactive learning for R, Python   & Data Science    ✓ Over 730,000 learners, 70% working   professionals ✓ +1000 business groups

5. Data Science - Useful Links ● Data Science Industry Infographic ● Ba le of the Data Science Venn Diagrams ● …

7. Useful Links ● Khan Academy ● Python Statistics For Data Science Resources ● Statistical Thinking in Python (Part 1) ● Scipy Tutorial: Linear Algebra ● Algorithms with Stanford Unversity ● Machine Learning with Stanford University (Andrew Ng) ● Tom Mitchell, “Machine Learning”

9. Useful Links ● Fundamentals of Computer Science (EdX course) ● End-to-end Development Process (Article) ● Intro to Python for Data Science Course (DataCamp)

10. Resources

12. Useful Links ● Introduction to Databases with Stanford University ● Principles of Database Management (Youtube Series) ● Alejandro Vaisman & Esteban Zimányi, “Data Warehouse Systems” ● SQL with DataCamp (soon!) ● Introduction to Databases in Python

14. Useful Links ● Martin Fowler, “Continuous Integration”

16. Useful Links ● Introduction to Apache Spark (and follow-up courses on EdX) ● Hadoop: The Deﬁnitive Guide ● Martin Odersky, “Programming in Scala”

18. Useful Links ● Kaggle ● DrivenData ● Meetup ● Data.World ● Github Tutorial You don’t need to start from scratch!

20. Useful Links ● Galvanize ● Quantbros ● General Assembly ● LinkedIn ● Your network! ● …

22. Useful Links ● DataTau ● Reddit - /r/datascience, /r/python, … ● KD Nuggets ● DataCamp Community ● FiveThirtyEight ● Stack Overﬂow ● ….

23. People To Follow ● DJ Patil, Chief Data Scientist with the White House. ● Gregory Piatetsky, KDnuggets President, #Analytics, #BigData, #DataMining, #DataScience expert, KDD & SIGKDD co-founder, was Chief Scientist at 2 startups, part-time philosopher. ● Ben Lorica, Chief Data Scientist @OReillyMedia, Program Director of @strataconf & @OReillyAI. He is the host of the O’Reilly Data Show podcast. ● Andrew Ng, Chief Scientist of Baidu; Chairman and Co-Founder of Coursera; Stanford CS faculty. ● As a top Big Data inﬂuencer, Kirk Borne, the Principal Data Scientist at @BoozAllen, Ph.D. Astrophysicist, ♡ Data Science, is deﬁnitely worth following!

24. Thanks!

25. Questions?

Introduction to Python for Data Science

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