Applied Data Science for Learning Environments offered by University of Birmingham
- Public University
- Estd. 1900
Applied Data Science for Learning Environments at University of Birmingham Overview
Duration | 8 weeks |
Start from | Start Now |
Total fee | ₹89,004 |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
Applied Data Science for Learning Environments at University of Birmingham Highlights
- Earn a certificate of completion from University of Birmingham
- Learn from expert faculty
Applied Data Science for Learning Environments at University of Birmingham Course details
- Those who are interested in using data science techniques to improve teaching methods, personalize learning experiences, and optimize educational outcomes for students
- Critically understand and apply summary statistics
- Critically understand and apply summary machine learning to breakdown data
- Use appropriate data science technologies to summarise and visualise data stories
- Understand and apply the ethics of data
- Appreciate data science techniques for learning and education
- This 8-week, specialised Postgraduate Micro-credential short course will provide students with knowledge and skills in using data to evaluate the effectiveness of learning environments and the ability to appreciate the utility of data science within education
- This program comes with a variety of datasets at our disposal, being able to use data to answer questions and gain insight into learner behaviour is a valuable tool in both research and applied practice
Applied Data Science for Learning Environments at University of Birmingham Curriculum
Introduction to Data Science in Education
Overview of data science and its applications in learning environments
Importance of data-driven decision making in education
Data Collection and Preprocessing
Data sources in education
Data cleaning and preprocessing techniques
Exploratory Data Analysis (EDA)
Descriptive statistics for educational data
Visualization techniques for exploring educational datasets
Predictive Modeling in Education
Introduction to predictive modeling techniques
Building predictive models for student performance and outcomes
Personalized Learning and Recommender Systems
Personalization techniques in education
Building recommender systems for educational resources
Applied Data Science for Learning Environments at University of Birmingham Faculty details
Applied Data Science for Learning Environments at University of Birmingham Entry Requirements
- Education: High school diploma or equivalent
- IELTS-6.5
- Yes
- Read moreApplicant's offer will be conditional if they still have examinations to take, university need verification of candidate's qualifications or if they have to meet other non-academic entry requirements The offer letter will state the examinations student must pass and the results they must achieve, plus any non-academic requirements. All conditions must be met in full before they will be able to register for your programme
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Applied Data Science for Learning Environments at University of Birmingham Contact Information
Edgbaston, Birmingham B15 2TT, United Kingdom
Birmingham ( West Midlands)