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Data team training
Executive Education

Pragmatic Data Services &
W. P. Carey Deep Dive

Each topic features complementary courses from both institutions: ASU’s instructor-led, fundamentals-based classes build a strong foundation, while Pragmatic Data’s self-paced, instructor-supported courses enhance those skills with practical tools and real-world projects.
Data Preparation
Data Analytics
Data Visualization
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This online course bundle is a partnership offering from ASU’s W. P. Carey and Pragmatic Data: Building Data Skills for Business Impact.

Designed For Ambitious Professionals

Ideal learners include working professionals who want to strengthen their data skills and apply them in practical, business-focused ways.

Choose ASU’s foundational course to build a strong grasp of core concepts, Pragmatic Data’s applied course to put those concepts into practice, or both to deepen your expertise. Each flexible, skills-based course can be taken individually and at your own pace to align with your learning goals.

These courses are ideal for working professionals eager to strengthen their data skills and apply them in practical, business-driven contexts. Whether you aim to master Python fundamentals, leverage AI and machine learning for real-world solutions, or create impactful data visualizations, each course offers targeted learning to help you reach your goals.

Data Preparation

This learning pathway equips learners to use Python for combining, manipulating, and analyzing both structured and unstructured data. Through hands-on projects and tools such as Pandas and NumPy, participants develop practical skills in data wrangling, time series processing, and statistical analysis to prepare data for meaningful insights.
Scheduled

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

Discover programming fundamentals for working with and analyzing data. You will learn to combine and manipulate structured and unstructured data, and summarize, visualize, and generate insights through analysis.

  • ONLINE
  • SCHEDULED
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Self-paced

Pragmatic Data: Data Wrangling with Python

Use the power of Python to clean, transform, and scale data workflows. You’ll learn to handle messy CSV files, identify data quality issues, and create streamlined workflows.

  • Prerequisite: CIS 591 (Programming for AI and Data Analytics in Business)
  • ONLINE
  • ON DEMAND
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Instructors

Geoff Pofahl | Arizona State University, W. P. Carey School of Business

Ana Hocevar | Pragmatic Data, Data Science Instructor

Richard Ott | Pragmatic Data, Data Science Instructor

Key Takeaways

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

Data Analytics

This learning pathway enables professionals to harness AI, machine learning, and natural language processing to address real-world business challenges. Through hands-on projects and practical tools, learners develop the skills to build predictive models, analyze structured and unstructured data, and turn insights into strategic action.

Scheduled

ASU CIS 565: Artificial Intelligence for Business

Learn how AI technologies can be leveraged to enhance decision-making, improve processes, and create competitive advantages in various industries. 

  • ONLINE
  • SCHEDULED
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Scheduled

ASU CIS 508: Machine Learning in Business

Learn how to select appropriate machine learning algorithms for a given context, implement these algorithms programmatically, and interpret their outcomes to help guide organizational decision-making.

  • Prerequisite: CIS 591 (Programming for AI and Data Analytics in Business)
  • ONLINE
  • SCHEDULED
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Self-paced

Pragmatic Data: Artificial Intelligence and Machine Learning

You’ll learn how to design end-to-end ML pipelines—from data collection and preprocessing to model deployment and maintenance.

  • Prerequisite: Pragmatic Data Wrangling with Python course or strong Python and data coding skills
  • ONLINE
  • ON DEMAND
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Self-paced

Pragmatic Data: Generative AI for Natural Language Processing

Transform natural language text into insights with Generative AI. You’ll learn how to use large language models (LLMs) via a Python API, empowering you to identify sentiments, categorize by topics, summarize documents, and generate new text.

  • Prerequisite: Pragmatic Data Wrangling with Python course or strong Python and data coding skills
  • ONLINE
  • ON DEMAND
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Instructors

Geoff Pofahl | Arizona State University, W. P. Carey School of Business

Xiqing Sha | Arizona State University, W. P. Carey School of Business

Asish Satpathy | Arizona State University, W. P. Carey School of Business

Ana Hocevar | Pragmatic Data, Data Science Instructor

Don Fox | Pragmatic Data, Data Science Instructor

Robert Schroll | Pragmatic Data, Data Science Instructor

Key Takeaways

  • Learn how predictive models are transformed into generative models.
  • Build machine learning solutions using scikit-learn pipelines.
  • Use natural language processing to identify sentiments, categorize by topics, summarize documents, and generate new text.
  • Learn the scikit-learn API, a leading machine learning library.

Data Visualization

These learning pathways explores the power of data visualization for both discovery and communication. Learners gain the skills to create and apply a variety of visualization types, enhancing their own understanding of data while using visuals to tell compelling stories and communicate insights effectively.

Scheduled

ASU CIS 541: Business Data Visualization

Learn foundational design principles and advanced techniques to turn business data into insightful, visual storytelling.

  • ONLINE
  • SCHEDULED
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Self-paced

Pragmatic Data: Applied Data Visualization

Transform complex data into clear, visual narratives using Python visualization libraries and tools like Matplotlib, Seaborn, Altair, Pandas, and Plotly.

  • Prerequisite: CIS 591 (Programming for AI and Data Analytics in Business)
  • ONLINE
  • ON DEMAND
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Instructors

Hong Guo | Arizona State University, W. P. Carey School of Business

Richard Ott | Pragmatic Data, Data Science Instructor

Tam McCreless | Arizona State University, W. P. Carey School of Business

Don Fox | Pragmatic Data, Data Science Instructor

Key Takeaways

  • Understanding types of visualizations and their uses
  • Using visualizations to quickly gain insights into patterns in data sets
  • Communicating data-driven stories effectively with appropriate visuals
  • Developing effective dashboards to monitor business activities

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