Emory-Data-Science-Classes

Data Science / big data science classes at Emory, compiled by Sarah Takushi

IBS

• IBS 538:  Statistical Design and Analysis of Experiments
• IBS 574:  Computational Biology and Bioinformatics

BIOS

• BIOS 516 (1) Introduction to Large- Scale Biomedical Data Analysis
• BIOS 534 (2) Machine Learning
• BIOS 544 (2) Introduction to R programming for Non-BIOS students
• BIOS 555: High-throughput data analysis using R and Bioconductor (half a semester course, taken and recommended by many Genetics and Molecular Biology students).
• BIOS 570 (2) Introduction to Statistical Genetics

MATH

• MATH116:  Life Sciences Calculus II
• MATH221:  Linear Algebra 
• MATH361:  Probability and Statistics I 

CS

• CS153:  Computing for Bioinformatics

MSCR

• MSCR 530 Analytic Methods for Clinical and Translational Research I (3 credits)
• MSCR 533 Data Management (2 credits)
• MSCR 597 Big Data to Knowledge (BD2K) in CTR Research (1 credit)

INFO

• INFO 500(2) Principles of Public Health Informatics
• INFO 511 (3) Analytics
• INFO 521 (3) Database Development for Public Health
• INFO 544 (2) Network Science in Public Health
• INFO 550 (2) Software Engineering

QTM

• QTM120: Math for quantitative sciences. Part 1 of the QTM courses which are recommended for students who want to brush up on topics in math and computer science before jumping into machine learning. o This course is slated to be offered online in summer 2018.
• QTM210: . Part 1 of the QTM courses which are recommended for students who want to brush up on topics in math and computer science before jumping into machine learning. o This course is slated to be offered online in summer 2018 o

BUS

• BUS 550 - Data and Decision Analytics (uses excel and SAS/LPM so nothing fancy programming wise, but a very well taught and practical course on how to make business decisions from data)
• BUS 651 - Strategic Decision Analysis
• BUS 550 is a pre-req and again mostly uses excel but focuses on game theory concepts
• BUS 554 - Advanced Data Science (this one is more computationally intensive and teaches more "big data" analysis with cloud computing and such)