Statistical Modeling in R

Career Development Program “Statistical Modeling in R” provides theoretical background and practical skills necessary for successful statistical modeling, data analysis and processing to optimize managerial decisions, as well as skills to operate in the modern software for statistical modeling and understand algorithms of these programs.

Number of hours: 228

Lecturers:

Dashyan Sergey Yu., Doctor of Science in Physics and Mathematics, Professor, University of Lille, Lille, France

Kabanova V. Tatiana , Candidate of Science in Physics and Mathematics, Associate Professor from the Department of the Probability Theory and Mathematical Statistics, Tomsk State University, Russia

Konev Victor V., Doctor of Science in Physics and Mathematics, Professor from the Department of the Probability Theory and Mathematical Statistics, Tomsk State University, Russia

Kutoyants Yury A., Doctor of Science in Physics and Mathematics, Professor, University of Le Mans, France

Pergamenshchikov Serguei M., Doctor of Science in Physics and Mathematics, Professor, University of Rouen, France, and Tomsk State University, Russia

Pchelintsev Evgeny A., Candidate of Science in Physics and Mathematics, Associate Professor from the Department of the Mathematical Analysis and Theory of Functions, Tomsk State University, Russia

Vorobeichikov Sergey E., Doctor of Science in Physics and Mathematics, Professor from the Department of Mathematics and Mathematical Modeling, Tomsk State University, Russia