Introduction to Python for Data Science
| Date: | 27-May-15 to 27-May-15 |
| Location: | Galvanize San Francisco / San Francisco / United States |
| Category: | Education |
About This Workshop:
Data scientists need to know how to code, and Python is the most useful and versatile programming language for doing data science. In this hands-on workshop, you’ll learn foundational skills for adding Python to your data science toolbox. Professional instructors from GalvanizeU will guide you through analyzing data in Python by writing scripts and taking advantage of handy libraries. You’ll leave this session equipped to write your own Python scripts to analyze data, and instructor recommendations about next steps to take on your pathway to data science.
What You'll Learn:
How to view and analyze data sets with Python
How to write and run Python scripts on your own laptop
Which libraries and packages are most useful for analyzing data in Python
Why Python is a flexible, versatile language for doing data science
Which resources you should next utilize to develop your skills
Meet Your Instructor:
Nir Kaldero is the Director of Science, Head of Data Science Experts (gX) at Galvanize. As a data scientist and economist, Nir serves on the faculty of the Masters’ of Engineering in Big Data. Before joining Galvanize, Nir was the Lead Instructor for Data Science at General Assembly, a Scholar in the Economics Department at the University of California, Berkeley, and an independent data science consultant.
Data scientists need to know how to code, and Python is the most useful and versatile programming language for doing data science. In this hands-on workshop, you’ll learn foundational skills for adding Python to your data science toolbox. Professional instructors from GalvanizeU will guide you through analyzing data in Python by writing scripts and taking advantage of handy libraries. You’ll leave this session equipped to write your own Python scripts to analyze data, and instructor recommendations about next steps to take on your pathway to data science.
What You'll Learn:
How to view and analyze data sets with Python
How to write and run Python scripts on your own laptop
Which libraries and packages are most useful for analyzing data in Python
Why Python is a flexible, versatile language for doing data science
Which resources you should next utilize to develop your skills
Meet Your Instructor:
Nir Kaldero is the Director of Science, Head of Data Science Experts (gX) at Galvanize. As a data scientist and economist, Nir serves on the faculty of the Masters’ of Engineering in Big Data. Before joining Galvanize, Nir was the Lead Instructor for Data Science at General Assembly, a Scholar in the Economics Department at the University of California, Berkeley, and an independent data science consultant.
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