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Python for Data Analysts

Xavier Morera, Janani Ravi, Chris Achard, Pratheerth Padman, Ian Ozsvald, and Kishan Iyer

What You'll Learn

Installing Python

Using Jupyter Notebooks

Using IDEs

Working with Numbers, Strings, and Lists

Defining Functions

Simple flow control and language features

What You'll Learn

Installing Python

Using Jupyter Notebooks

Using IDEs

Working with Numbers, Strings, and Lists

Defining Functions

Simple flow control and language features

Reading and Writing files

Installing and using common analytics libraries like Numpy, Scipy, Matplotlib, and Pandas

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What's inside

Seven courses

Building Your First Python Analytics Solution

(2 hours)

This course covers choosing a development environment for Python, the differences between Conda and Pip, popular IDEs, and running Python on the cloud.

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Programming Python Using an IDE

(2 hours)

Once you have learned the foundations of Python, the next step to increase your productivity is learning how to be proficient with a development environment or IDE. This course will help you get started.

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Cleaning Data: Python Data Playbook

(1 hours)

Cleaning the dataset is an essential part of any data project. This course will teach you the basics of cleaning datasets with pandas, and will teach you techniques that you can apply immediately in real world projects.

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Pygal 2: Python Data Playbook

(2 hours)

This course covers building visualizations in Pygal, using styles and configurations to govern chart behavior, rendering and exporting to SVG and other specialized formats, and serving Pygal visualizations in web content.

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Understanding Databases with SQLAlchemy 1: Python Data Playbook

(1 hours)

Working with databases is a huge part of any data professional's tool belt. In this Playbook, we will utilize SQLAlchemy to learn how to use SQL within Python and leverage the object-relational mapper capabilities of SQLAlchemy.

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Web Scraping: Python Data Playbook

(1 hours)

Learn to scrape data from a static web page with BeautifulSoup4 and turn it into a compelling graphical data story in a Jupyter Notebook. You will gain the ability to scrape data and present it graphically.

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Data Wrangling with Python 3

(1 hours)

In this course, Data Wrangling with Python 3, you'll learn to organize your data, providing a clean and well-constructed dataset for further data analysis and machine learning.

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Time

13 hours

Via

Pluralsight

Institution

Instructors

Xavier Morera

Janani Ravi

Chris Achard

Pratheerth Padman

Ian Ozsvald

Kishan Iyer

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