University of California, San Diego Courses

Python for Data Science

48 reviews

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

• edX
• 10 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Probability and Statistics in Data Science using Python

32 reviews

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

• edX
• 10 weeks, 10-12 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Big Data

34 reviews

Explore Big Data fundamentals, including key concepts, applications, and the Hadoop framework. Learn to identify Big Data problems and extract value using a 5-step analysis process.

• Coursera
• 18 hours 15 minutes
• On-Demand
• Paid Course

Hadoop Platform and Application Framework

25 reviews

Explore big data tools like Hadoop and Spark, gaining hands-on experience with Map-Reduce and HDFS. Learn to analyze large datasets and understand the core concepts of distributed computing frameworks.

• Coursera
• 1 day 1 hour 32 minutes
• On-Demand
• Paid Course

Algorithmic Toolbox

23 reviews

Master algorithmic techniques for efficient problem-solving: sorting, searching, divide-and-conquer, greedy algorithms, and dynamic programming. Gain practical skills in designing and implementing fast, effective solutions.

• Coursera
• 1 day 16 hours 3 minutes
• On-Demand
• Paid Course

Finding Hidden Messages in DNA (Bioinformatics I)

18 reviews

Explore DNA's hidden messages using computational biology. Learn algorithms to identify replication origins and molecular clocks in bacterial genomes. Apply motif-finding software to real biological data.

• Coursera
• 16 hours
• On-Demand
• Paid Course

Data Structures

16 reviews

Explore fundamental data structures, algorithms, and their implementations. Learn efficient techniques for managing and manipulating data, from basic arrays to advanced tree structures and hash tables.

• Coursera
• 22 hours 39 minutes
• On-Demand
• Paid Course

Machine Learning Fundamentals

8 reviews

Understand machine learning's role in data-driven modeling, prediction, and decision-making.

• edX
• 10 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Object Oriented Programming in Java

15 reviews

Explore object-oriented programming in Java through data visualization. Learn GUI creation, inheritance, event handling, and fundamental algorithms while building an interactive map project.

• Coursera
• 1 day 16 hours 23 minutes
• On-Demand
• Paid Course

Machine Learning With Big Data

14 reviews

Explore, analyze, and leverage big data using machine learning techniques. Learn to design approaches, prepare data, construct models, and scale solutions using open-source tools and Spark.

• Coursera
• 20 hours 6 minutes
• On-Demand
• Paid Course

Data Structures: An Active Learning Approach

5 reviews

Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text.

• edX
• 10 weeks, 6-7 hours a week
• On-Demand
• Free Online Course (Audit)

Algorithmic Design and Techniques

3 reviews

Learn how to design algorithms, solve computational problems and implement solutions efficiently.

• edX
• 6 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Biology Meets Programming: Bioinformatics for Beginners

11 reviews

Learn Python programming through bioinformatics, solving real biological problems and implementing algorithms. Ideal for beginners interested in computational biology and DNA analysis.

• Coursera
• 19 hours
• On-Demand
• Paid Course

The Science of Parenting

9 ratings at edX

Move beyond the chatterand opinion surrounding parenting and learn about thescientific findings and data that can help you make sensible, informed parenting decisions.

• edX
• 5 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Analyze Your Genome!

1 review

Learn how to use existing tools and pipelines to analyze next generation sequencing (NGS) data.

• edX
• 4 weeks, 4-10 hours a week
• On-Demand
• Free Online Course (Audit)