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ASU CIS 591: Programming for AI and Data Analytics in Business
W. P. Carey School of Business

ASU CIS 591: Programming for AI and Data Analytics in Business

W. P. Carey School of Business, Tempe
HomeData & AIW. P. Carey School of BusinessASU CIS 591: Programming for AI and Data Analytics in Business
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$650

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About This Program

The course "ASU CIS 591: Programming for AI and Data Analytics in Business" is a foundational offering within the Data Preparation learning pathway, a collaboration between ASU's W. P. Carey School of Business and Pragmatic Data Services. This course focuses on teaching programming fundamentals essential for working with and analyzing data. Participants will acquire practical skills in combining, manipulating, and analyzing both structured and unstructured data. The curriculum emphasizes the use of Python, Pandas, and NumPy for data wrangling, time series processing, and statistical analysis, enabling learners to prepare data for meaningful insights, summarize findings, and generate actionable intelligence.

Why W. P. Carey School of Business?

The W. P. Carey School of Business offers executive education rooted in a culture of innovation and practical application, particularly strong in supply chain management, business analytics, and leadership development. Its programs leverage the dynamic economic environment of the Phoenix metropolitan area, providing participants with direct exposure to a rapidly growing business hub.

Your Profile

  • Designed for working professionals with some exposure to technology or data.

Benefits

  • Gain practical skills in data handling, transformation, and analysis using industry-standard tools.
  • Learn to combine and manipulate structured and unstructured data effectively.
  • Develop the ability to summarize, visualize, and generate insights through data analysis.
  • Master data wrangling, time series processing, and basic statistical analysis to prepare data for meaningful insights.

What You'll Learn

  • Data manipulation and file handling with Python
  • Data wrangling using Pandas
  • Time series processing and resampling
  • Basic statistical analysis with NumPy

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

  2. 2

    Compare programs

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  3. 3

    Contact the school

    Send a message directly to W. P. Carey School of Business via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through W. P. Carey School of Business's official application portal.

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