NİĞDE ZUBEYDE HANIM VOCATIANOL SCHOOL OF HEALTH SERVICES / MEDICAL DATA PROCESSING TECHNICIAN / TVI1006 - OPEN SOURCE SOFTWARE AND ITS USE

Contents Of The Courses in a weekly Period

Week 
Subjects 
Sources 
1Philosophy of Open Source Software and Its Advantages in the Healthcare Domain[1], s. 10-30
2Basics of Python Programming: Syntax, Data Structures, and Control Flow[1], s. 30-45
3Data Manipulation and Analysis in Python Using the NumPy Library[2], s. 20-80
4Working with DataFrames in Python Using the Pandas Library[2], s. 81-148
5Basic Data Visualization in Python: Matplotlib and Seaborn Libraries[3], s. 30-180
6Fundamentals of R Programming: Syntax, Data Structures, and Functions[1], s. 118-205
7Data Manipulation and Analysis in R Using Core Packages (dplyr, tidyr, etc.)[1], s. 150-190
8MIDTERM EXAM 
9Basic Data Visualization in R Using the ggplot2 Library[1], s. 206-217
10Importing and Cleaning Health Datasets in Python and R Environments[3], s. 190-220
11Basic Statistical Analyses and Hypothesis Testing (Python Statsmodels, R stats package)[1], s. 214-234
12Introduction to Machine Learning in Python: The Scikit-learn Library[1] s. 50-85; [2] s 25-37
13Introduction to Machine Learning Packages in R (tidymodels, caret, etc.)[1], s. 225-260
14Python/R Applications on Real-World Health Data Scenarios[2], s. 30-80
15Coding Practices, Debugging, and Reproducible Reporting[3], s. 17-76
16FINAL EXAM