Hello there!

STAT150 | R for Data Science

Ihor Miroshnychenko

Kyiv School of Economics

About me

  • Ihor Miroshnychenko
  • PhD, Associate Professor
  • Lecturer at the Kyiv School of Economics
  • Associate Professor of the Department of Management Technologies, FIT, KNU
  • ex-Associate Professor of the Department of Mathematical Modeling and Statistics, IITE, KNEU
  • Lecturer at the International Institute of Business (MBA)
  • 15+ years of experience in education and research

@araprof

@datamirosh

@ihormiroshnychenko

@aranaur

aranaur.rbind.io


DataCamp Group

DataCamp Group

DataCamp Group

How to get involved?

  1. Register for DataCamp
  2. Join the telegram channel Data Mirosh
  3. Join the class via link

Note

⏳ The group is open until October 7, 2025! After this date, I will open a new group so that you can continue your studies.

Syllabus

Main topics

  1. R language basics
  2. Introduction to Tidyverse: Data Wrangling & Tidying
  3. Reproducible reports
  4. Data Visualization
  5. Webscraping
  6. Advanced imports and data manipulations
  7. Spatial analysis
  8. Final Project

Grading

Category Total points
Weekly assignments 70 (7 x 10 points)
Project (report + presentation) 30
Participation (extra) 5
Total 105

Weekly assignments

Criteria Points
Data Preparation 2
Visualization and graphics 2
Implementation 2
Report quality 2
Code quality and reproducibility 2

Project

Criteria Points
Data Preparation 5
Visualization and graphics 10
Implementation 5
Report quality 5
Code quality and reproducibility 5

Participation

Your presence at the class meetings and active participation in the discussions will be appreciated.

Five tips for success

  1. Complete all the preparation work before class.
  2. Ask questions.
  3. Do the readings.
  4. Do the Weekly assignments.
  5. Don’t procrastinate.

Academic honesty

TL;DR: Don’t cheat!
  • Collaboration
  • Online resources
  • Use of generative artificial intelligence (AI):
    • AI should not reduce your ability to think clearly
    • ✅ AI tools as assistants
    • ❌ AI tools as decision-makers

Late work

-20% of the maximum grade for each day after the deadline. No submissions accepted more than 3 days late without prior approval.

Learning materials

R for Data Science

Advanced R

ggplot2

Spatial Data Science

Questions?



Course materials

@araprof

@datamirosh

@ihormiroshnychenko

@aranaur

aranaur.rbind.io