Python is a popular programming language, widely used in many scenarios and easy to use. Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast-growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.
This course introduces the audience to the field of Data Science using Python tools to manage and analyze data. You can learn some of the fundamental tools of the trade and apply them to real data problems. And along the way, it discusses the use of Python stack for data analysis and scientific computing and expands on concepts of data acquisition, data cleaning, data analysis and machine learning.
Style and Approach
A fun and friendly course packed with step by step instructions, it shows you how to get up and running with Python virtual environments using Conda. This course is divided into clear chunks so you can learn at your own pace.
We’ll discuss the creation and management of the different environment, how to install Python packages for Data Science and how to use Jupyter notebooks as a development tool.
What You Will Learn
Installing the core Python tools for data analysis
Dealing with different data types in Python
Using NumPy for fast array computation
Using Pandas for data analysis
Framing a Data Science problem and using Python tools to solve it.