Data Science & Machine Learning

Is your student interested in a potential academic major or career in data science machine learning? Professionals in these fields work on training and deploying mathematical models of all kinds to solve real-world problems.

Program Highlights

Apply programming skills using Python for data manipulation, analysis, and visualization, including the use of libraries such as pandas, matplotlib, and seaborn.

Conduct exploratory data analysis on datasets, applying statistical concepts and generating meaningful data visualizations to derive valuable insights.

Learn to implement machine learning models by performing comprehensive exploratory data analysis on datasets, applying statistical concepts, and generating meaningful data visualizations.

Explore neural networks and deep learning by creating and training a simple neural network using programs like Keras/TensorFlow to develop basic comprehension of deep learning concepts and architecture

Evaluate ethical implications in data science and artificial intelligence applications to become aware of potential biases and societal impacts.

Residential Tuition:
$5,998

Commuter Tuition:
$3,298

Session 2:
June 22, 2025 July 4, 2025

Session 4:
July 6, 2025 July 18, 2025

Session 6:
July 20, 2025 August 1, 2025

Berkeley
Berkeley, CA

Course Overview

Did you know that data scientists hold some of the highest-paying jobs for students graduating with a bachelor’s degree in the United States? With the booming influence of data science and machine learning more job roles and opportunities are available in this industry than ever before. From improving decision making processes to releasing innovations, data has become essential to the success of nearly every industry.

In this program, students will cover a wide range of topics from Python basics to advanced concepts like neural networks and deep learning. Students will also have an opportunity to practice their learning by applying their knowledge through projects and exercises using real-world datasets. They will gain experience with popular data science and machine learning libraries such as pandas, scikit-learn, and TensorFlow. Students will also have discussions on the ethical implications of data science and artificial intelligence to prepare them to be responsible practitioners in the field.

Meet your instructor

Dr. Kamal Ali

Session 2 & 4

Dr. Kamal Ali is a distinguished AI and machine learning expert with over two decades of pioneering experience in Silicon Valley, where he currently serves as an industry consultant specializing in large language models, artificial intelligence, and conversational agents. He earned his Ph.D. and Master's in Computer Science from UC Irvine and he holds his BS in Computer Science from the University of Sydney. He has held several pivotal leadership roles including Chief Data Scientist at Simplifai, Machine Learning Scientist at Apple, Inc and Fusemachines, and was a co-founder and Chief Scientist of Peerlyst. His impressive career also includes serving as a Senior Research Scientist at Stanford University's prestigious Computational Learning Lab and he has over 30 peer-reviewed papers and 3,000 citations.