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Overview
This AI for Scientific Research course is offered by Coursera in partnership with LearnQuest. Each course in this specialization contains practice labs built on the Coursera lab platform. You will use the provided libraries and models to perform machine learning and AI instructions that help answer important questions in your dataset.
The final course is a capstone project where you will compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. It begins with the basic setup and walks through the entire analysis process.
What you'll learn
- How to use AI in scientific situations to discover trends and patterns within datasets
- The complete machine learning process
- Use artificial intelligence to predict sequences in datasets
Skills you'll gain
- Exploratory Data Analysis
- Feature Engineering
- Applied Machine Learning
- Dimensionality Reduction
- Pandas (Python Package)
- Keras (Neural Network Library)
- Artificial Neural Networks
- Data Cleansing
- Tensorflow
- Bioinformatics
- Predictive Modeling
- Data Manipulation
Programme Structure
Courses included:
- Introduction to Data Science and scikit-learn in Python
- Machine Learning Models in Science
- Neural Networks and Random Forests
- Capstone Project: Advanced AI for Drug Discovery
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence Machine Learning View 210 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- There are no specific background requirements; however, it is very helpful to understand scientific methods, mathematics and general computer logic.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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