46 Courses and Certifications

UC San Diego Courses & Certifications 2024

  • Ownership: Public/Government
  • Estd. Year: 1960
  • Total Faculty: 4390
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Hacking COVID-19 Course 2 Decoding SARS CoV 2 s Secrets

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NP-Complete Problems

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Certificate

NP-Complete Problems

3 Weeks
Intermediate
Free
Delivery Problem

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Certificate

Delivery Problem

3 Weeks
Beginner
6,638
Graph Algorithms in Genome Sequencing

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Certificate

Graph Algorithms in Genome Sequencing

3 Weeks
Intermediate
Free
Hacking COVID-19 Course 1 Identifying a Deadly Pathogen

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Hacking COVID 19 Course 3 Unraveling COVID 19s Origins

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Internet of Things V2 DragonBoar Bring up and Community Ecosystem

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Certificate

Internet of Things V2: DragonBoard™ bring up and community ecosystem

Offered by UC San Diego, and Coursera the Internet of Things V2: DragonBoar bring up and community ecosystem certification course is course 2 out of the 6 specialisations in the course of Internet of Things and AI Cloud Specialization. This is a beginner friendly course that is 100 percent taught using online modes. The usual completion time of this course is 20 hours.

The Internet of Things V2: DragonBoar bring up and community ecosystem training will be teaching to build an environment for both hardware and software development by using the single board computer (SBC) DragonBoard™ 410c. This programme is where one gets hands down opportunity to do practice, and theory required for IoT protyotyping.

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3 Weeks
4,117
Internet of Things Setting Up your Dragon Board Development Platform

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Certificate

Internet of Things Setting Up your Dragon Board Development Platform

Offered by UC San Diego, and Coursera the Internet of Things: Setting Up Your DragonBoard™ Development Platform certification course is an online course. The total time consumed for this certification programme is 17 hours that is taught completely in the English language. Any student can instantly start learning without the need of having to follow a particular set of schedule. 

The Internet of Things: Setting Up Your DragonBoard™ Development Platform training will be great if someone wants to have hands-on experience related to mobile technologies along with the use of internet. After this programme one can also understand how they want to pivot their careers towards development, and the design of different product enabled by the Internet of things. 

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3 Weeks
Skills Covered:
Knowledge of Android Software Development
Machine Learning With Big Data

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Certificate

Machine Learning With Big Data

Machine Learning With Big Data is an online certification programme administered by the University of California San Diego to help the students explore machine learning with big data concepts. Machine Learning With Big Data  Certification Syllabus, developed by Mai Nguyen, the Lead for Data Analytics, and Ilkay Altintas, the Chief Data Science Officer, will give the students a clear understanding of strategies of machine learning for the analysis and exploration of data. 

In the Machine Learning With Big Data Certification Course, administered by  Coursera, the candidates will learn to build machine learning models with numerous algorithms and tools as well various concepts of big data. Machine Learning With Big Data Certification by Coursera is the fourth in six programmes of the Big Data Specialization. 

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3 Weeks
4,117
Skills Covered:
Machine learning Knowledge of Big Data
Big Data Modeling and Management Systems

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Certificate

Big Data Modeling and Management Systems

Big Data Modeling and Management Systems is an online course with a minimum completion time of 13 hours. The online course discusses management tools of big data modeling, types of data models in big data, and data genres. Big Data Modeling and Management Systems Certification Course is the second programme in the three-course Big Data Specialization. The online course is a joint venture between Coursera and the University of California San Diego. 

Provided by Coursera, Big Data Modeling and Management Systems Certification by Coursera explores big data, data modeling for big data, data modelling, big data modeling techniques, Impala, Neo4j, AsterixDB, HP Vertica, SparkSQL, and Redis. The learners will be acquainted with techniques and practical exposure through real-time projects. Though there are no prior requirements for the programme, the learners will be needed some technical requirements (hardware and software).

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3 Weeks
4,117
Skills Covered:
Knowledge of Big Data
Hadoop Platform and Application Framework

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Certificate

Hadoop Platform and Application Framework

Hadoop Platform and Application Framework is a 25-hour long online certification programme offered jointly by Coursera and the University of California San Diego. Coursera provides the Coursera Hadoop platform and application framework course in a flexible mode that can be taken by the learners completely in the online mode. Hadoop Platform and Application Framework Certification Course, provided by Coursera, can be taken by all learners, including business people and novice programmers. 

Hadoop Platform and Application Framework Training will guide the students on the core tools used for big data analysis, especially Hadoop and Spark, along with practical exposure with the help of hands-on examples. The online Hadoop platform and application framework Coursera course will also explore Python Programming, MapReduce, Apache Spark, and Apache Hadoop. Hadoop Platform and Application Framework Certification by Coursera can be pursued by any learner from numerous parts of the world as Coursera provides subtitles in the languages of Arabic, Vietnamese, French, Portuguese (European), Italian, German, Russian, English, and  Spanish. 

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3 Weeks
Free
Skills Covered:
Knowledge of Big Data
Design Thinking and Predictive Analytics for Data Products

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Certificate

Design Thinking and Predictive Analytics for Data Products

Design Thinking and Predictive Analytics for Data Products is an intermediate-level programme designed and offered entirely in online mode. The online certification programme is the second programme in the four-course Python Data Products for Predictive Analytics Specialization. Offered by Coursera, the Design Thinking and Predictive Analytics for Data Products Certification Course will discuss the fundamentals of designing predictive models in Python, the design thinking process, design thinking methodology, predictive analytics algorithms, predictive analytics tools, the basics of statistical learning and various methods of building predictive models.

Design Thinking and Predictive Analytics for Data Products Training is prepared and tutored by Julian McAuley and Ilkay Altintas, faculty members of the University of California San Diego. Design Thinking and Predictive Analytics for Data Products Certification by Coursera can also be pursued by learners who hail from non-English speaking backgrounds as the subtitles are available in the languages of Arabic, Vietnamese, German, Russian, French, Portuguese (European), Italian and  Spanish. The practical exposure through the final projects also will be given to the students in the Design Thinking and Predictive Analytics for Data Products online course. 

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3 Weeks
Intermediate
4,117
Skills Covered:
Business analytics knowledge Design thinking
Data Structures

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Certificate

Data Structure

The soul of programming is said to be data structures and algorithms. Data structures aim to hold the data while the algorithms aim to solve the problem using the data. Data structures are the key to the computer algorithms which help the programmers to manage the data efficiently. The perfect selection of data helps to enhance the efficiency of the computer programme.

Computer science in this era is all about sorting and computing from given data. So, it is necessary to have a powerful knowledge about data structure, it will help one deal with different ways of arranging, storing and processing the data. It helps in utilizing maximum space and also decreases the complexity in deletion of data, addition as well as insertion of data.

To be a successful data processor one should acquire all the skills appropriately and should master their skills that will make them stand out of the crowd. Each and every company searches for an employee who has the ability to overcome all the problems and keep up to the needs and the requirements of the company. This is the platform where they can shape their skills for the same.

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Intermediate
6,634
Skills Covered:
Programming skills
Combinatorics and Probability

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Certificate

Combinatorics and Probability

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

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Beginner
6,634
Skills Covered:
Mathematical skill
Introduction to Graph Theory

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Certificate

Introduction to Graph Theory

Taking the Introduction to Graph Theory certification course will provide you with useful insights into how engineers design integrated circuits and how GPS systems find shortest routes. You will also learn why a political map can only be coloured using a few colours and how biologists assemble genomes. The course curriculum includes the Ramsey Theory, which proves that complete disorder is impossible in an extensive system.

Additionally, the curriculum for the Introduction to Graph Theory certification course will cover a wide variety of graphs, including Airlines Graphs, Directed Graphs, Bipartite Graphs, and more. You will become adept in applying various algorithms to solve real-world problems via practice exercises and hands-on projects. 

Moreover, National Research University Higher School of Economics and the University of California and San Diego are offering the Introduction to Graph Theory programme jointly. As a result, candidates will be able to find better career opportunities upon course completion. 

The Introduction to Graph Theory online course is highly suitable for professionals working in the IT sector and IT aspirants.

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Beginner
6,634
Skills Covered:
Mathematical skill
Algorithms on Graphs

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Certificate

Algorithms on Graphs

Algorithms on graphs is a much-used concept in navigation services and has thus found supreme applicability in the current scenario. Whether it be road networks, social networks or computer networks, this domain offers a lot of scope for learning, especially for engineers. To think of the fastest time to commute, people often resort to a connected set of computers which are strewn through an efficient algorithm or a dense network. This also helps in detecting communities and leaders on Facebook.

Algorithms on Graphs course is one another valuable offering by Coursera which delves deep into the insights of graphs and its varied properties. Candidates will learn traversing graphs and orderly traversing of the same to perform meaningful tasks. Discussion on shortest paths algorithms from basic level used to open doors till faster ones used in Google Maps will be conducted. Pursuing this course will also help candidates in pursuing Fast Shortest Routes industrial capstone projects if they wish to.

This course concludes with minimum spanning trees utilised in road planning and telephone and computer networks.

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Intermediate
6,634
Skills Covered:
Knowledge of Algorithms

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