Data Science

  1. Data Scientist’s Toolbox
  2. R Programming
  3. Getting and Cleaning Data
  4. Exploratory Data Analysis
  5. Reproducible Research
  6. Statistical Inference
  7. Regression Models
  8. Practical Machine Learning
  9. Developing Data Products

Systems Biology and Biotechnology

  1. Introduction to Systems Biology
  2. Experimental Methods in Systems Biology
  3. Network Analysis in Systems Biology
  4. Dynamical Modeling Methods for Systems Biology
  5. Integrated Analysis in Systems Biology

Statistics with R

  1. Introduction to Probability and Data
  2. Inferential Statistics
  3. Linear Regression and Modeling
  4. Bayesian Statistics

IBM Data Science Professional Certificate

  1. What is Data Science?
  2. Open Source tools for Data Science
  3. Data Science Methodology
  4. Python for Data Science and AI
  5. Data Analysis with Python
  6. Data Visualization with Python

Genomic Data Science

  1. Introduction to Genomic Technologies
  2. Python for Genomic Data Science
  3. Bioconductor for Genomic Data Science

SQL

  1. SQL for Data Science
  2. Data Wrangling, Analysis and AB Testing with SQL
  3. Distributed Computing with Spark SQL
  4. SQL for Data Science Capstone Project
  5. Specialization Certificate

Neuroscience

  1. Medical Neuroscience
  2. Fundamental Neuroscience for Neuroimaging
  3. Principles of fMRI 1
  4. Principles of fMRI 2
  5. Introduction to Neurohacking in R
  6. Advanced Neurobiology 1
  7. Advanced Neurobiology 2

Bioinformatics

  1. Bioinformatic Methods I
  2. Bioinformatic Methods II

Data Visualization & Dashboarding with R

  1. Getting Started with Data Visualization in R
  2. Data Visualization in R with ggplot2
  3. Advanced Data Visualization with R
  4. Publishing Visualizations in R with Shiny and flexdashboard
  5. Data Visualization Capstone

Google Data Analytics Specialization

  1. Foundations: Data, Data, Everywhere
  2. Ask Questions to Make Data-Driven Decisions
  3. Prepare Data for Exploration
  4. Process Data from Dirty to Clean

Neo4j GraphQL

  1. Neo4j Fundamentals
  2. Cypher Fundamentals
  3. Graph Data Modeling Fundamentals
  4. Importing CSV Data into Neo4j
  5. Importing Data Fundamentals
  6. Intermediate Cypher Queries
  7. Neo4j & LLM Fundamentals
  8. Neo4j & Generative AI Fundamentals
  9. Introduction to Neo4j Graph Data Science
  10. Using Neo4j with Python
  11. Neo4j Graph Data Science Fundamentals
  12. Path Finding with GDS
  13. Introduction to Vector Indexes and Unstructured Data

Geographic Information System

  1. Fundamentals of GIS

Wellcome Connecting Science

  1. Antimicrobial Databases and Genotype Prediction: Data Sharing and Analysis

Others

  1. Data Management for Clinical Research
  2. eHealth: More than just an electronic record
  3. Epidemiology: The Basic Science of Public Health
  4. Programming for Everybody Getting Started with Python
  5. Systems Thinking In Public Health
  6. Systems Science and Obesity
  7. Understanding Obesity
  8. HI-FIVE: Health Informatics For Innovation,Value & Enrichment Clinical Perspective
  9. Health in Complex Humanitarian Emergencies
  10. Clinical Epidemiology
  11. Community Change in Public Health
  12. Understanding Clinical Research: Behind the Statistics

Digital Marketing Specialization

  1. Marketing in a Digital World
  2. Digital Analytics for Marketing Professionals:Marketing Analytics in Theory
  3. Digital Analytics for Marketing Professionals: Marketing Analytics in Practice
  4. Digital Media and Marketing Principles
  5. Digital Media and Marketing Strategies