Search result for Trends in data science Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,792 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Data Structures
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 25 hours to complete
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments....
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
The Dynamic Earth: A Course for Educators
by Edmond Mathez, Ph.D. , Ro Kinzler, Ph.D.- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
Informed by the recently released Next Generation Science Standards, this course examines geological time scales, radiometric dating, and how scientists “read the rocks. ” We will explore dramatic changes in the Earth over the last 4 billion years, including how the evolution of life on Earth has affected its atmosphere. Teaching with the Next Generation Science Standards: Part 1...
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Debug, profile, tune and evaluate models while tracking data lineage and model artifacts...
Disaster Risk Management and Korean Policies
by Sohn, Hong-Gyoo- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
In the past, developing countries such as Korea lacked guidelines for exploring effective policies for disaster-resilient growth, resulting in unnecessary sacrifices in terms of time, resources, and human capital. Science and Technology for Disaster Risk Management Practice of SFDRR Indicator using Korean Statistical Data Practice of SFDRR Indicator using Korean Statistical Data...
Tableau Data Analytics - Must See Introduction to Analytics
by Dhruv Bais- 3.7
-
![]()
![]()
![]()
![]()
![]()
1 hour on-demand video
You have probably wondered what is the most practical way of getting your feet wet in Tableau and Data Science (even if you are not interested in this, you should seriously consider so since in the next 10-15 years, Data Science and Artificial Intelligence will be everywhere). There is no risk for you as a student in this course....
$9.99
Probability: Basic Concepts & Discrete Random Variables
by Mark D. Ward- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. Are you interested in a career in the emerging data science field, or as an actuarial scientist? The Center for Science of Information, a National Science Foundation Center, supports learners by offering free educational resources in information science....
$49
Related searches
A Scientific Approach to Innovation Management
by Alfonso Gambardella , Arnaldo Camuffo , Chiara Spina- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
In this course, we lay out a systematic process to make strategic decisions about innovative product or services that will help entrepreneurs, managers and innovators to avoid common pitfalls. Type I and type II errors in innovation decisions THEORY AND DATA FOR INNOVATION MANAGEMENT The Scientific Approach: summary and its use in practice Data science vs causal links...
Python-Introduction to Data Science and Machine learning A-Z
by Yassin Marco- 4.2
-
![]()
![]()
![]()
![]()
![]()
7.5 hours on-demand video
Python basics Learn Python for Data Science Python For Machine learning and Python Tips and tricks If you want to learn all the basics of Data science and Python this course has all you need. Not only you will have a complete introduction to Data science but you will also be able to practice python programming in the same course....
$14.99
Data Science and Machine Learning Capstone Project
by Sourav Mazumder , Linda Liu , Alex Aklson- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Create a project that you can use to showcase your Data Science skills to prospective employers. By the end of this course, you will have used real world data science tools to create a showcase project and demonstrate to employers that you are job ready and a worthy candidate in the field of data science....
$149
Previous
