Meet your Instructor

Mat will be your instructor! Mat is a former physicist, research neuroscientist, and data scientist. He did his Ph.D. and Postdoctoral Fellowship at the University of California, Berkeley.

Course Overview

In this course, you will learn to use Python packages for Data Science, such as Numpy, Pandas, Matplotlib, and Seaborn. Below is an overview of the lessons:

1. Lesson: Anaconda - Learn to use Anaconda to manage packages and environments to use with Python.

2. Lesson: Jupyter Notebooks - Until now, you have been practicing Python programming in the Udacity provided workspaces. Moving forward, you will learn to use interactive editor jupyter-notebook to code Python programs. In Jupyter notebooks, you'll be able to view the mark-up text, code, videos, equations, and graphical output all on the same page.

3. Lesson: NumPy - Learn to use the functions defined in the Numpy package for numerical calculations.

4. Lesson: Pandas - Learn to analyze and manipulate data with the Pandas package

5. Lesson: Matplotlib and Seaborn - Learn to draw attractive and informative statistical visualizations using the Matplotlib and Seaborn package. This lesson is split into two parts - Part 1 and 2.

Lesson Objectives

In this lesson, you will acquire the ability to use Anaconda to manage packages and environments for Python. Specifically, you will learn to:

1. Install and navigate through the Anaconda
2. Download Python packages in the terminal/Anaconda prompt.
3. Setup and manage one or more environments