Courses for Science Projects

834 free courses & lectures available for Science Projects

B93c9fea 3df3 4180 984c 55310821cbb5.small

Machine Learning for Data Science and Analytics

by Professor Ansaf Salleb-Aoui... on Edx Edx

Duration: 42.5 hours

Learn the principles of machine learning and the importance of algorithms.

Average ( 2 Reviews )

Details:
English Captions

About Instructor(s):
Professor Ansaf Salleb-Aouissi (Department of Computer Science),
Columbia University
+ more

B66b8f6d ae1a 4ee8 8079 0361a879fc23.small

Programming for Data Science

by Dr. Katrina Falkner, Dr. Ni... on Edx Edx

Duration: 90 hours

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

Very Good ( 6 Reviews )

Details:
English Captions

About Instructor(s):
Dr. Katrina Falkner (Head - School of Computer Science),
University of Adelaide
+ more

D09a5a9b 38f7 4f01 b6ff 6de504fb3b61.small

Improvement Science in Education

by Donald J. Peurach, Anthony ... on Edx Edx

Duration: 24 hours

Learn how to apply principles and practices of improvement science to improve educational practice, raise student performance, and reduce achievement gaps.

4.5

Very Good ( 1 Reviews )

Details:
English Captions

About Instructor(s):
Donald J. Peurach (Associate Professor of Educational Policy, Leadership, and Innovation in the School of Education),
University of Michigan
+ more

Computer Science Essentials for Software Development

by Chris Murphy, Sampath Kanna... on Edx Edx

Duration:

Details:
English Captions

About Instructor(s):
Chris Murphy (Associate Professor of Practice, School of Engineering and Applied Science),
University of Pennsylvania
+ more

91f52ef3 fa3f 4934 9d19 8d5a32635cd4 2a6a1b8666e9.small

Data Science: R Basics

by Rafael Irizarry on Edx Edx

Duration: 12 hours

In this first course of eight in the HarvardX Data Science series, we learn the basic building blocks of R. The series will cover data wrangling with dplyr, visualization with ggplot2, probability, inference, regression and machine learning.