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Explore the Exciting World of Data Science

Class Code Date Delivery Method Cost
  • Tue Jun 18, 9:00 am to 12:00 pm
Live Online - 1 session $200
  • Tue Aug 6, 1:00 pm to 4:00 pm
Live Online - 1 session $200

Most Technology Training classes will be delivered online until further notice.

Before each sesson, Tech Training will provide a Zoom link for live online classes, along with any required class materials.


This lecture will give a broad overview of Data Science. We will clarify the relationship between Data Science and Machine Learning and explore the Data Science process.

In this session, we will talk about identifying an effective data analysis question that is actionable, and how to get the right data to answer the question. We will discuss data exploration and the importance of clean data, complete data, and the quantity and variety of data. We will also cover how to effectively apply and evaluate Machine Learning models.

The lecture will briefly demonstrate how to work through a Data Science project using Pandas and Scikit-learn, highlighting the variety of choices that need to be made throughout the process that determines its success.


Learning Objectives:

  • Understand the relationship between Data Science and Machine Learning
  • Become familiar with the Data Science process
  • Identify effective data analysis questions that are actionable
  • Identify effective data sources
  • Understand the importance of clean, complete, and quantity of data
  • Understand how Machine Learning is applied and evaluated within the Data Science process
  • Become familiar with some of the tools used throughout the process


Topic Outline:

  • Introduction to lecture
  • Data Science vs. Machine Learning
  • The Data Science process
  • The importance of data
  • Exploring and transforming data
  • Creating and evaluating Machine Learning models
  • Developing an effective Data Science strategy
  • Demonstration of the Data Science process using pandas and scikit-learn
  • Next Steps


Structured Activity/Case Studies:

Demonstration -- the Data Science process using pandas and scikit-learn

Antony Ross

Antony originally attained a degree in psychology with an emphasis in sport psychology. He began working with athletes and eventually chose to pursue a graduate degree in exercise physiology. He conducted research in muscle physiology while teaching at USC and, subsequently, UCLA.

Custom training workshops are available for this program

Technology training sessions structured around individual or group learning objectives. Learn more about custom training

University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.

Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.