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.

Using Data Science Tools in Python

Using Data Science Tools in Python

Learners Outcome

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 engineeringData analysisData storageData visualizationStatistics
Data engineering
Data analysis
Data storage
Data visualization
Statistics

Night Nov 02, 2026

$1,32000

• Date
• Days of the Week
• Time
• Duration
• Hours/CEUs

• Nov 02 - Nov 11, 2026
• Mon,Wed
• 5:30 PM - 8:30 PM (CST)
• 4 Nights
• 12 hours / 1.2 CEUs

Schedule Details Add to cart

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