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Python for Data Science Primer is a two-day course that introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it’s often used in Data Science in web notebooks.
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Course Access
Unlimited Duration
Last Updated
March 3, 2021
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Certification
This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. In this course you will learn about:
· How to work with Python interactively in web notebooks
· The essentials of Python scripting
· Key concepts necessary to enter the world of Data Science via Python
Course Curriculum
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- Why Python? 00:00:00
- Python in the Shell 00:00:00
- Python in Web Notebooks (iPython, Jupyter, Zeppelin) 00:00:00
- Demo: Python, Notebooks, and Data Science 00:00:00
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- Using variables 00:00:00
- Builtin functions 00:00:00
- Strings 00:00:00
- Numbers 00:00:00
- Converting among types 00:00:00
- Writing to the screen 00:00:00
- Command line parameters 00:00:00
- About flow control 00:00:00
- White space 00:00:00
- Conditional expressions 00:00:00
- Relational and Boolean operators 00:00:00
- While loops 00:00:00
- Alternate loop exits 00:00:00
- File overview 00:00:00
- Opening a text file 00:00:00
- Reading a text file 00:00:00
- Writing to a text file 00:00:00
- Reading and writing raw (binary) data 00:00:00
- Sorting 00:00:00
- Exceptions 00:00:00
- Importing Modules 00:00:00
- Classes 00:00:00
- Regular Expressions 00:00:00
- Working with dates and times 00:00:00
- Translating timestamps 00:00:00
- Parsing dates from text 00:00:00
- Formatting dates 00:00:00
- Calendar data 00:00:00
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