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Udacity 5.0 (1)
Overview
Skills you'll learn in the Programming for Data Science with Python Nanodegree program at Udacity
- Introduction to Python
NumPy • Pandas • Control flow • Python scripting • Built-in Python functions • Python methods • Python function definition • Python package management • Python data types • Iterators • Python exception handling • Python best practices • Python operators • Python data structures • Docstrings • Anaconda • Python ides • Variable scope • List comprehension • Python syntax • User input handling
- Introduction to Version Control
Git • Unix shell
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Visit programme websiteProgramme Structure
Courses include:
- Welcome to the Program
- Command Line Essentials
- SQL Project Additional Resources
- Data Visualization with Tableau
- Introduction to HTML and CSS
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Software Engineering View 547 other Short Courses in Software Engineering in United StatesExplore more key information
Visit programme websiteWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites:
- Basic spreadsheet use
- Basic descriptive statistics
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 2 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 2 months. -
In-State
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 2 months.
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
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