Abhilash Nelson
Welcome to my new course Python Essentials with Pandas and Numpy for Data Science
In this course, we will learn the basics of Python Data Structures and the most important Data Science libraries like NumPy and Pandas with step by step examples!
The first session will be a theory session in which, we will have an introduction to python, its applications and the libraries.
In the next session, we will proceed with installing python in your computer. We will install and configure anaconda which is a platform you can use for quick and easy installation of python and its libraries. We will get ourselves familiar with Jupiter notebook, which is the IDE that we are using throughout this course for python coding.
Then we will go ahead with the basic python data types like strings, numbers and its operations. We will deal with different types of ways to assign and access strings, string slicing, replacement, concatenation, formatting and f strings.
Dealing with numbers, we will discuss the assignment, accessing and different operations with integers and floats. The operations include basic ones and also advanced ones like exponents. Also we will check the order of operations, increments and decrements, rounding values and type casting.
Instructor Details
Courses : 6
Specification: Python Data Science basics with Numpy, Pandas and Matplotlib
|
7 reviews for Python Data Science basics with Numpy, Pandas and Matplotlib
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 6.5 hours |
| Year | 2019 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$14.99
Katy –
GOOD
Phuti Raphala –
It’s interesting and enjoying the lecture is so clear and understandable
Craig Faulkner –
Content seems great so far but have to listen very carefully to understand through the accent. I’m looking forward to progressing through this.
Brian Murphy –
good intro
Gaurav Debnath –
There are no practical examples, it could have been better,
Gunjan –
Content is not good, way of study is not god
Dave –
What I like about this course is that it quickly gets you to grips with most of the python code you will need to start programming, and the instructor gives lots of useful tips as how to get the best out of using jupyter.