Brief Introduction
Learn the fundamentals of the python programming language for Data Science. Practice and Solution Notebooks included.Description
By the end of the course, you will be able to:
1. Use comments, variables, printing in a python program.
2. Use operators and data types in a python program.
3. Use conditional (If) statements in a python program.
4. Use lists and dictionaries in a python program.
5. Use for loops and while loops in a python program.
6. Use functions in a python program.
Requirements
- Requirements
- There are no pre-requisites for this course.
- You will need a modern browser i.e. Google Chrome or Mozilla Firefox.
Knowledge
- To demonstrate the use of the print function to display the output of a python program.
- To demonstrate the use of variables to store data in a python program.
- To demonstrate the use of comments to provide explanations of how your code works.
- To demonstrate the use of arithmetic operators in a python program.
- To demonstrate the use of various data types through conversion.
- To demonstrate the use of lists to store data in Python programs.
- To demonstrate the use of conditional (if) statements.
- To demonstrate the use of dictionaries in a python program.
- To demonstrate the use of for loops in a python program.
- To demonstrate the use of while loops in a python program.
- To demonstrate the use of functions in a python program.
Valentine Mwangi
3.7 Raiting
Artificial Intelligence Projects with Python-HandsOn: 2-in-1
- 3.6
-
![]()
![]()
![]()
![]()
![]()
Hands-on projects that simplify your first steps into the world of artificial intelligence with Python You will solve real-world problems such as face detection, handwriting recognition, and more....
Learn PyTorch for Natural Language Processing
- 3.1
-
![]()
![]()
![]()
![]()
![]()
Build smart language applications with the cutting-edge field of Deep Learning with PyTorch PyTorch is a Deep Learning framework that is a boon for researchers and data scientists....
Optimization problems and algorithms
- 4.4
-
![]()
![]()
![]()
![]()
![]()
How to understand, formulate, and tackle the difficulties of optimization problems using heursitic algorithms in Matlab This course will show you how to tackle each of these difficulties....
Introduction to R Programming for Data Science
- 4.8
-
![]()
![]()
![]()
![]()
![]()
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis....
