A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | |
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1 | Category/ ECTS | Introductory courses | Programming skills | Image and Neuroimaging Analyses | Computational Neuroscience and Methods | Brain structure and Function | Experimental Design & Statistics | Other skills | Methods and System's biology | ||||||||||||||||||
2 | 0.5 ECTS with certificate or completion record | Fundamental Neuroscience for Neuroimaging | Introduction to Neurohacking In R | Principles of fMRI 1 | A Crash Course in Causality: Inferring Causal Effects from Observational Data | The Addicted Brain | Statistics and R | Data Management for Clinical Research | Basics of Extracellular Vesicles | Found on Linkedin (author: Asad NaveedAsad Naveed): Become a Research Scientist by spending $0. Here are 20 courses you can audit for FREE to boost your research skills today: 👇 | |||||||||||||||||
3 | EPFLx: Basic Steps in Magnetic Resonance | MATLAB onramp 2020: coding, concepts, confidence, and style | Principles of fMRI 2 | Exploratory Data Analysis for Machine Learning | The Brain and Space | Bayesian Statistics: From Concept to Data Analysis (12h) | Développement psychologique de l'enfant | Experimental Methods in Systems Biology | |||||||||||||||||||
4 | Human Neuroanatomy | Programmer en Python pour la Data Science de A à Z | Virtual ERP Boot Camp: Introduction to ERPs | Visual Perception and the Brain | Inferential Statistics | Researcher Management and Leadership Training (0.75 ECTS) | The Science of Stem Cells | Data Analysis: | |||||||||||||||||||
5 | Introduction to Probability and Data with R | Neuroscience and Psychology: Electroencephalography (EEG) | Troubles du spectre de l'autisme : biologie et neurosciences | Biostatistics in Public Health Specialization: 4 modules @ 0.5 ECTS each | EPFLx: Launching New Ventures | Introduction to Systems Biology | 1. Statistics and R: https://lnkd.in/gjWvcgDs | ||||||||||||||||||||
6 | MATLAB onramp: Learn scientific coding with ChatGPT's help | Basic Steps in Magnetic Resonance | Extracellular Vesicles in Health and Disease | Improving Your Statistical Questions | Biomedical Visualisation | Network Analysis in Systems Biology | 2. Data Science: R Basics: https://lnkd.in/gzW8Z5jT | ||||||||||||||||||||
7 | Getting Started with R for Data Science | MULTIVARIATE EEG ANALYSIS (self-service; no assessment) | Basics of Extracellular Vesicles | Duke: Inferential Statistics | Global Health: An Interdisciplinary Overview | Dynamical Modeling Methods for Systems Biology | 3. Data Science: Wrangling: https://lnkd.in/gnArki9W | ||||||||||||||||||||
8 | R for Data Science: Lunch Break Lessons | Introduction to Systems Biology | Linear Regression and Modeling | Data Science Ethics | 4. Data Science: Linear Regression: https://lnkd.in/gCqYdf_W | ||||||||||||||||||||||
9 | Improving Your Statistical Questions | Ethics & STICs: scientific integrity, research ethics & information ethics for ICTs | |||||||||||||||||||||||||
10 | Bayesian Statistics: From Concept to Data Analysis | ||||||||||||||||||||||||||
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13 | 5. Data Science: Inference and Modeling: https://lnkd.in/gSnuYTMW | ||||||||||||||||||||||||||
14 | 1 ECTS with certificate or completion record | Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron | EPFLx: MATLAB and Octave for Beginners | EPFLx: Fundamentals of Biomedical Imaging: Magnetic Resonance Imaging (MRI) | EPFLx: Computational Neuroscience: Neuronal Dynamics of Cognition | Introduction to Neuroeconomics: How the Brain Makes Decisions | BioStatistics | Drugs, drug use, drug policy and health | Chronic Pain Neurotechnology course | 6. Data Science: Probability: https://lnkd.in/gRA-sCrU | |||||||||||||||||
15 | Fundamentals of Neuroscience, Part 2: Neurons and Networks | Python Basics | EPFLx: Image Processing and Analysis for Life Scientists | Computational Neuroscience | Introduction aux neurosciences des consommateurs et au neuromarketing | Principles, Statistical and Computational Tools for Reproducible Data Science | Writing in the Sciences | 7. Advanced Statistics for Data Science Specialization: https://lnkd.in/g_n-3Wn5 | |||||||||||||||||||
16 | Fundamentals of Neuroscience, Part 3: The Brain | Master Math by Coding in Python | Quantitative Methods for Biology | Troubles du spectre de l'autisme : diagnostic | Causal Diagrams: Draw Your Assumptions Before Your Conclusions | Research Management and Leadership Training (0.75h) | 8. Biostatistics in Public Health Specialization: https://lnkd.in/g2bGxxet | ||||||||||||||||||||
17 | Understanding the Brain: The Neurobiology of Everyday Life | Le Deep Learning de A à Z | EPFLx: Simulation Neuroscience | EPFLx: Neuroscience Reconstructed: Genetics and Development | Basic Statistics | ||||||||||||||||||||||
18 | Advanced Neurobiology I | Python for Data Science and Machine Learning Bootcamp | EPFLx: Neuronal Dynamics | Master statistics & machine learning: intuition, math, code | Writing: | ||||||||||||||||||||||
19 | Advanced Neurobiology II | Computing in Python I: Fundamentals and Procedural Programming (and advanced courses) | Applied Text Mining in Python (Data Science Module 4) | Improving your statistical inferences | 9. How to Write and Publish a Scientific Paper: https://lnkd.in/gPfSdCSv | ||||||||||||||||||||||
20 | Sleep: Neurobiology, Medicine, and Society | Introduction to Data, Signal, and Image Analysis with MATLAB | Practical Reinforcement Learning | Bayesian Statistics: Mixture Models | 10. Stanford - Writing in the Sciences: https://lnkd.in/gSK3HbPn | ||||||||||||||||||||||
21 | EPFLx: Neuroscience Reconstructed: Genetics and Development | Applied Plotting, Charting & Data Representation in Python (Data Science Module 2) | EPFLx: Simulating a Hippocampus Microcircuit | Bayesian Statistics: Time Series Analysis | 11. Lund - Writing in English at University: https://lnkd.in/gpMSRaAE | ||||||||||||||||||||||
22 | Machine learning in Python with scikit-learn | Supervised Machine Learning: Regression and Classification | Bayesian Statistics: Techniques and Models | 12. The Art of Persuasive Writing and Public Speaking: https://lnkd.in/gxsf9KgA | |||||||||||||||||||||||
23 | Neural Networks and Deep Learning | Linear Algebra for Machine Learning and Data Science | |||||||||||||||||||||||||
24 | Master MATLAB through Guided Problem Solving | Study Designs: | |||||||||||||||||||||||||
25 | Stanford Machine Learning Specialization: 3 courses (each one 1 ECTS) | 13. Quantitative and Qualitative Research for Beginners: https://lnkd.in/ggfRpway | |||||||||||||||||||||||||
26 | 14. Study Designs in Epidemiology: https://lnkd.in/gay73vX8 | ||||||||||||||||||||||||||
27 | 1.5 ECTS with certificate or completion record | Complete neural signal processing and analysis: Zero to hero | Applied Machine Learning in Python (Data Science Module 3) | EPFLx: Cellular Mechanisms of Brain Function | MITx: Quantitative Biology Workshop | 15. Understanding Clinical Research: Behind the Statistics: https://lnkd.in/g6nhZjt6 | |||||||||||||||||||||
28 | Introduction to Programming with MATLAB | Exploratory Data Analysis in R | Linear Algebra - Foundations to Frontiers | EPFLx: The Multi-scale brain | |||||||||||||||||||||||
29 | Mastering Programming with MATLAB | Systematic Reviews: | |||||||||||||||||||||||||
30 | Introduction to Data Science in Python (Data Science Module 1) | 16. Introduction to Systematic Review and Meta-Analysis: https://lnkd.in/gvA5cfbT | |||||||||||||||||||||||||
31 | R Programming | 17. Introduction to Systematic Reviews: https://lnkd.in/g8Rp-sDz | |||||||||||||||||||||||||
32 | 18. The Art and Science of Searching in Systematic Reviews: https://lnkd.in/gJb6FFhJ | ||||||||||||||||||||||||||
33 | 2 ECTS with certificate or completion record | Medical Neuroscience; 71h!!! | Deep Learning Specialization | ||||||||||||||||||||||||
34 | Miscellaneous: | ||||||||||||||||||||||||||
35 | # of ECTS dependent on track; tbd with LNDS coordinator | Python for Everybody Specialization | Online EEGLAB workshop (Youtube tutorials) | AI for Healthcare (240h) >>> 3 ECTS max. in LNDS ! | Uni Oxford Global Health Training Centre (with courses on Clinical Trial Management, GCP, Research Ethics) | 19. Just Start Grant Writing: https://lnkd.in/gT2v9peW | |||||||||||||||||||||
36 | ~0.5 ECTS for each of the 5 course modules ... | Youtube lectures of Michael X Cohen for overview on neural signals and analyses | Various MOOCs of FUN (France Université Numérique) on neuroscience, cell biology, behavior etc | 20. Project Management: The Basics for Success: https://lnkd.in/gRpf7NuB | |||||||||||||||||||||||
37 | IBM Machine Learning Professional Certificate (3 ECTS for entire course; 0.5 per module) | MULTIVARIATE EEG ANALYSIS | |||||||||||||||||||||||||
38 | CUSO.CH | Please note that, to get a certificate you may need to apply for a free waiver. | |||||||||||||||||||||||||
39 | INCF Training Space: an online learning hub that aims to make neuroscience educational materials more accessible to the global neuroscience community. Intro courses, tutorials, data management, programming skills, whatever ... Courses with credit # already calculated are just below ... | ||||||||||||||||||||||||||
40 | Introduction to Neurobiology (0.5 ECTS) | Matlab and Simulink Basics (0.25 ECTS) | Translational Science Specialization | Additionally, you take advantage of coursera's $1 for the first month offer which expires on June 22nd, 2023. See details here: https://lnkd.in/g_qd3pzd | |||||||||||||||||||||||
41 | More EPFLx courses: https://www.edx.org/school/epflx | ||||||||||||||||||||||||||
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