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Course Description

More and more organizations are turning to data science to help guide business decisions. Regardless of industry, the ability to extract knowledge from data is crucial for a modern business to stay competitive. One of the tools at the forefront of data science is the Python® programming language. Python's robust libraries have given data scientists the ability to load, analyze, shape, clean, and visualize data in easy to use, yet powerful, ways. This course will teach you the skills you need to successfully use these key libraries to extract useful insights from data, and as a result, provide great value to the business.

Learner Outcomes

In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data.

You will:

  • Set up a Python data science environment.
  • Manage and analyze data with NumPy arrays.
  • Manipulate and modify data with NumPy arrays.
  • Manage and analyze data with pandas DataFrames.
  • Manipulate, modify, and visualize data with pandas DataFrames.
  • Visualize data with Matplotlib and Seaborn.

Prerequisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including but not limited to: data engineering, data analysis, data storage, data visualization, and statistics. 

Duration

2 Days | 4 Nights

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Section Title
Using Data Science Tools in Python
Type
Instructor-Led
Days
T, Th
Time
5:30PM to 8:30PM
Dates
Jun 15, 2021 to Jun 24, 2021
Schedule and Location
# of Course Hours
12.0
Delivery Option
Course Fee(s)
Rate non-credit $1,315.00
Potential Discount(s)
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.