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School of Data Kyrgyzstan in partnership with the American University of Central Asia is delighted to announce summer bootcamp ‘Data Science in R’.

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are a full-time number cruncher or just the occasional data analyst, R will suit your needs.

This course consists of two modules. The first module is going to be held in June. The second module will be held upon requests in September.

Module 1: 10 June -14 June

Introduction to R programming course will help you master the basics of R. We will cover its basic syntax, making you ready to undertake your own first data analysis using R. No prior knowledge in programming or data science is required since an introduction to statistics and data science will be also provided.

Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations.

What is unique in this course is that we will gradually build a full-fledged data science project you will be able to re-use at work or during your academic studies.

Who is this course for: Beginners with little or no previous programming and Data Science experience

Fees: $200. Special price for AUCA students: $150

Prerequisites:  Intermediate English Level

Requirements:

  • laptop Windows 7 or above/Linux/Mac, CPU min Intel I3, min 2 Giga Ram.
  • all software used in this course is available for free.

To register for the course, fill out the form and make a pre-payment. 

To make a pre-payment you can use Elsom (0550) 346-311. We accept pre-payments in an amount of $100.

In case of any questions and confirmations please write to schoolofdatakg@gmail.com or call 0 555 222 684; 0500 605 406

Instructor:

Emanuele Costa joined AUCA initially in 2009 as an instructor teaching part-time in the MBA program. He is now a full-time instructor and director of the FII institute within SEBA. Emanuele educational background includes a BSc. in Mathematics and Computer Science from Lancaster University (UK) and a MSc. in Artificial Intelligence from Edinburgh University (UK) and he is currently completing an Executive MBA at the University of Bologna (Italy).

Course Content

Time: 1 week
  • Module 1: 10 June -14 June Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. What is unique in this course is that we will gradually build a full-fledged data science project you will be able to re-use at work or during your academic studies. 0/0

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Data Science in R

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