Search result for Introduction to algorithms online course Online Courses & Certifications
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K-12 Blended & Online Learning
by Anissa Lokey-Vega, Ph.D. , Jim Cope, Ph.D.- 4.6
Approx. 15 hours to complete
This course introduces teachers and interested adults to K12 blended and online learning. Participants will design a blended or online unit and develop one module to use with K12 students. Trends and Standards in K12 Blended & Online Learning iNACOL Blended & Online Teaching Pre-Assessment Results Active Learning & Assessment in K12 Blended & Online Learning...
Dentistry 101
by Russell Taichman , Rogerio Castilho- 4.7
Approx. 8 hours to complete
Dentistry 101 is an introduction to the exciting and diverse field of dentistry through the lens of its many practitioners. You'll also be better informed about, and more prepared for, the dental school admissions process if you choose to pursue it. Introduction Introduction Introduction to Research Introduction to Research Introduction to Dental Schools...
Artificial Intelligence Algorithms Models and Limitations
by Brent Summers- 4.7
Approx. 8 hours to complete
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. Course Introduction Example of simple algorithms, and how to sort...
Competitive Programming for Beginners
by Filipp Rukhovich , Ilia Stepanov , Oleg Hristenko , Vladislav Nevstruev- 0.0
Approx. 153 hours to complete
This online course will help you to join the world of competitive programming and even become worldwide competitions participant! The course includes theoretical and practical aspects that are necessary to solve problems of any difficulties. You will also learn how to submit your solution to the testing system. Linear Algorithms Dynamic programming: introduction...
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. The hands-on section of this course focuses on using best practices for unsupervised learning. Introduction to Unsupervised Learning and K Means Course Introduction Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Clustering Introduction to Unsupervised Learning...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. The hands-on section of this course focuses on using best practices for unsupervised learning. Introduction to Unsupervised Learning and K Means Course Introduction Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Clustering Introduction to Unsupervised Learning...
Basics of Inclusive Design for Online Education
by Emily Moore , Howard Kramer , Clayton Lewis- 4.6
Approx. 7 hours to complete
This course provides instruction and strategies to support you in developing a course that is inclusive to students with a wide range of abilities, including students with disabilities. We cover effective practices to increase inclusion and avoid some of the common accessibility issues that can arise in an online course. Introduction to Course Introduction to Course Logistics...
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Introduction to Google SEO
by Rebekah May- 4.6
Approx. 14 hours to complete
This course is the first within the SEO Specialization and it is intended to give you a taste of SEO with some fun practices to get seen in Google. Introduction to Google SEO Introduction to Google SEO Introduction to Google SEO Introduction to Search Engine Algorithms Introduction to Search Engine Algorithms...
Digital Footprint
by Louise Connelly , Nicola Osborne- 4.6
Approx. 9 hours to complete
In this course you will hear from a range of experts and you will have an opportunity to explore and reflect on your own online tracks and traces, to understand why your digital footprint is important. Introduction to the course and week 1 (Nicola Osborne) How to use this course Introduction to week 2 (Dr Louise Connelly)...
Identifying Patient Populations
by Laura K. Wiley, PhD- 4.5
Approx. 13 hours to complete
In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. Introduction to Computational Phenotyping Introduction to Manual Record Review Introduction to Specialization Instructors Course Policies Accessing Course Data and Technology Platform Introduction to Course Example Introduction to Manual Record Review...