Python Data Analysis with NumPy and Pandas

This advanced programming course will teach you how to analyze Python data with NumPy and pandas. As machine learning becomes more prevalent, Python has emerged as a scientific language. Within Python, NumPy and pandas are essential for any scientific computation. Understanding how these elements work together is critical for the aspiring data scientist.

3 Months / 28 Course Hrs

Open enrollment

Offered in Partnership with your Preferred School

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Why this school?

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Learning Method

Self-Paced

No instructor. Study on your own schedule

Python Data Analysis with NumPy and Pandas

Details + Objectives
Course Code: T9792

What You Will Learn

To work with Jupyter Notebook
To use NumPy to work with arrays and matrices of numbers
To work with pandas to analyze data
To work with matplotlib from within pandas

How the course is taught

Self-paced, online course
3 months to complete
Open enrollment, begin anytime
28 course hours

How you will benefit

Gain highly marketable skills in the programming field
Study Python in a completely online, self-paced learning environment

Outline

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Details

Jupyter Notebook
NumPy
pandas

Requirements

Prerequisites:

Prior to enrolling in this course, you must have previous Python programming experience. You should be comfortable writing your own functions and working with strings, lists, tuples, dictionaries, loops, and conditionals.

Requirements:

Hardware Requirements:

This course can be taken on either a PC or Mac.

Software Requirements:

PC: Windows 7 or later.
Mac: OS X Mountain Lion 10.8 or later.
Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.
Adobe Acrobat Reader.
Software must be installed and fully operational before the course begins.

Other:

Email capabilities and access to a personal email account.

Instructional Materials

The instructional materials required for this course are included in enrollment and will be available online.

FAQs

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When can I get started?

You can start this course at any time your schedule permits.

How does it work?

You have three-month access to the course. After enrolling, you can learn and complete the course at your own pace, within the allotted access period.

How long do I have to complete each lesson?

There is no time limit to complete each lesson, other than completing all lessons before your three-month access.

What if I need an extension?

Because this course is self-paced, no extensions will be granted after the start of your enrollment.

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Python Data Analysis with NumPy and Pandas

Python Data Analysis with NumPy and Pandas

Details + Objectives Course Code: T9792

Outline

Requirements

FAQs

Details + Objectives
Course Code: T9792