Python Basics for Data Science
,, --- , Prof. Joseph Santarcangelo 0.0 ( Reviews) 17674 Students Enrolled
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Updated On 02 Feb, 19
,, --- , Prof. Joseph Santarcangelo 0.0 ( Reviews) 17674 Students Enrolled
FVL is learner-supported. When you buy through links on our site, we may earn an affiliate commission
Updated On 02 Feb, 19
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.
You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you get free access to Watson Studio. Start now and take advantage of this platform.
The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.
In this course you will learn about:
Basic Math
Module 1 - Python Basics
Your first program
Types
Expressions and Variables
String Operations
Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries
Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes
Module 4 - Working with Data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas
Module 5 - Working with Numpy Arrays
Numpy 1d Arrays
Numpy 2d Arrays
Sam
March 29, 2018
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Dembe
March 29, 2018
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