University of California, San Diego Courses

Python for Data Science

48 ratings

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/week
• Self-Paced
• Free Online Course

• Best of All Time

Introduction to Big Data

34 ratings

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
• Self-Paced
• Paid Course

Probability and Statistics in Data Science using Python

32 ratings

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

• edX
• 10 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Hadoop Platform and Application Framework

25 ratings

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
• Self-Paced
• Paid Course

Algorithmic Toolbox

23 ratings

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
• Self-Paced
• Paid Course

Finding Hidden Messages in DNA (Bioinformatics I)

18 ratings

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
• Self-Paced
• Paid Course

Data Structures

16 ratings

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
• Self-Paced
• Paid Course

Object Oriented Programming in Java

15 ratings

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
• Self-Paced
• Paid Course

Machine Learning With Big Data

14 ratings

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
• Self-Paced
• Paid Course

Biology Meets Programming: Bioinformatics for Beginners

11 ratings

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
• Self-Paced
• Paid Course

Machine Learning Fundamentals

8 ratings

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

• edX
• 10 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course

Our Energy Future

7 ratings

Explore energy production, utilization, and sustainability from multiple perspectives, including biology, engineering, economics, and climate science. Gain insights into renewable sources and their global impact.

• Coursera
• 37 hours
• Self-Paced
• Paid Course

Graph Analytics for Big Data

6 ratings

Explore graph analytics techniques to model, store, and analyze network structures using tools like Neo4j. Learn to apply these skills to real-world data problems and gain insights from complex datasets.

• Coursera
• 11 hours 55 minutes
• Self-Paced
• Paid Course

Internet of Things: How did we get here?

6 ratings

Explore the evolution of telecommunications, from early telephony to modern smartphones and IoT. Understand key innovations, network types, and technological convergence shaping our interconnected world.

• Coursera
• 20 hours 38 minutes
• Self-Paced
• Paid Course

Data Structures and Performance

6 ratings

Explore data structures and algorithms for efficient handling of large datasets. Learn asymptotic analysis, linked lists, trees, and hashtables to improve program performance and flexibility.

• Coursera
• 1 day 17 hours 34 minutes
• Self-Paced
• Paid Course