Search result for Application in material science Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,179 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. Why Accelerate Material Discovery and Development? Decision-Making in Material Design...
Advanced Clinical Data Science
by Michael G. Kahn, MD, PhD , Laura K. Wiley, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 hours to complete
This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis. Introduction: Advanced Clinical Data Science Keep Calm and Data Science On Practical Application: Careers in Clinical Data Science Introduction to Careers in Clinical Data Science Understanding Job Opportunities in Clinical Data Science...
Building a Data Science Team
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. How the data science team relates to other teams in an organization...
Methods of molecular biology
by Aizhan Zhussupova- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 25 hours to complete
The course “Methods of molecular biology” is the first course developed by Al-Farabi Kazakh National University (KazNU) in collaboration and kind support of Peter the Great St. • See the correlation of molecular biology techniques with advances in related fields of science. • Understand the specifics of methods related to the study, regulation and application of proteins and nucleic acids....
Take the Lead on Healthcare Quality Improvement
by Mary A. Dolansky, PhD, RN , Shirley Moore, PhD, RN, FAAN , Mamta K Singh, MD, MS- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 30 hours to complete
The objective of this course is to empower you, the working healthcare professional, to improve your knowledge and skills in the science of quality improvement so that you can take action in your own clinical setting to improve the quality of care for your patients and their families. Application Video Application...
Getting Started with Data Visualization in R
by Collin Paschall- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. Functions in R Dataframes and Importing Data in R Data import and structure in the tidyverse...
Drug Development
by Williams S. Ettouati, Pharm.D. , Joseph D. Ma- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
In this course you will learn the different stages of clinical development as well as the regulatory including but not limited to, an Investigational New Drug Application (IND), New Drug Application (NDA), and product labeling. Regulatory Considerations When Filing an Investigational New Drug Application I A new Master Degree in Science in Drug Development & Product Management at UCSD...
Related searches
Tools for Data Science
by Aije Egwaikhide , Svetlana Levitan , Romeo Kienzler- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. Categories of Data Science Tools Open Source Tools for Data Science - Part 1 Open Source Tools for Data Science - Part 2...
How Computers Work
by Dr Marco Gillies- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
Computers are everywhere, they aren't just the desktops and laptops we use for work but the phones in our pockets and even the watches on our wrists are also computers. You will learn how to apply computer science concepts to solve problems in daily computer use and generally be a better computer user....
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Practical data science is geared towards handling massive datasets that do not fit in your local hardware and could originate from multiple sources....
