Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 8 Minute(s)
Language
English
Taught by
AI 4 MY
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
3 views
Course Overview
Learn the basics of Python and the most important Data Science libraries with this step by step guide!
Python is the most important language in the field of data, and its libraries for analysis and modeling are the most relevant tools to use.
In this course we will start building the basics of Python and then going to deepen the fundamental libraries like Numpy, Pandas, and Matplotlib.
The four main features of this course are:
1. Clear and simplified language, suitable for everyone
2. Practical and efficient
3. Examples, illustrations and demonstrations with relative explanations
4. Continuous updating of contents and exercises
Course Content
- 4 section(s)
- 68 lecture(s)
- Section 1 Introduction
- Section 2 Python
- Section 3 Numpy
- Section 4 Pandas
What You’ll Learn
- Basic Notebook commands
- Variables and conversions in Python
- Variables, lists, dictionaries, sets, classes in Python
- Definition of a function
- Date management
- Reading and writing files
- Mathematical functions in Numpy
- Functions to create random data
- Indexing methods
- Pivot tables in Pandas
- Display options
- RAM memory optimization for large amounts of data
Reviews
-
FFarhan Khondaker
assumes we know more than he explains
-
MMichael Abobade
It's a great start.
-
SSreenivasapur Adnan Raqeeb
This was very good course to start off my analyst journey.
-
MMethodius Uwizera
The content was good, but i struggled with the tutor's accent, so a transcription could have helped. Also, a sample dataset to work with would have been nice
