Fundamentals of Data Science

• Are you interested in applying data analysis and machine learning methods in your business?

• Are you employed in the business sector and wish to improve the results using data analysis?

• Are you interested in studying this field but lack time for a lengthy study course?

GAU offers you to take the first short-term data science course in Georgia - DS101, which gives you a real opportunity to:

1. Learn data processing and analysis techniques using the programming language Python
2. Learn the basics of data visualization.
3. Get acquainted with modern algorithms of machine and deep learning.
4. Apply the obtained analytical algorithms to real business problems.
5. Introduce analytical solutions in everyday work.
6. Make timely and correct decisions based on data analytics.
7. Gain professional network.

The course will also help you in professional development, career advancement, and the discovery and enhancement of your analytical skills.

The program comprises modern teaching methods such as interactive work and simulations. The course will focus on the full involvement of the listeners and the discussion of real world problems during the teaching process, which will make the lectures more interesting. After passing the course you will receive a certificate from Georgian American University.

The program has been created through the cooperation of highly qualified academic staff of Georgian American University and Linköping University (Sweden).

 The course will be conducted by leading Georgian lecturers in the field.

Who is the course designed for:  

• For anyone interested in data analysis and machine learning.
• For those, who want to make decisions based on data analysis.
• For those, looking to start a career in data analysis and machine learning.

Students will study modules in the following relevant subjects: 

1. Data Analysis in Business:

• Examples of Business Use
• Introduction to Data Analytics
• Automated Machine Learning Platforms and Their Use

2. The Basics of Python:

• Program Basics
• Determining Variables
• Types of Variables
• Logical Blocks and Cycles
• Functions
• Libraries
• Streams

3. Data Processing:

• Types of Data
• Introduction to the Pandas Library
• The Basics of Data Visualization
• Data Processing and Cleansing Techniques

4. Machine Learning Algorithms

• Observational and Unobserved Models
• Regression and Classification Algorithms
• Clustering (Descriptive methods)
• Preparing Data for Modeling
• Methodologies and Characteristics of Mode Performance Evaluation
• Computer Vision Algorithms
• Auxiliary Tools

5. Discussion Real Projects/Cases:

• Discuss and Analyze Real Cases and Code Solved Using Machine Learning

6. Final Project Preparation:

• Data Selection for the Final Projects
• Consulting with lecturers during the project

Certificate:

Course graduates will be awarded a certificate by Georgian American University.

In order to receive the certificate, one must prepare an analytical/machine learning project and present it.

The project presentation will be attended by potential employers from relevant industries.

The project can be done individually or in groups with no more than three members.

The students reserve the right to present the project in an open or a closed format.

Program duration: 

• The academic calendar consists of 13 weeks
• The lectures will be held twice a week (Wednesday and Saturday). The days may be changed if agreed with the group.
• The lectures last for 2-3 hours.

Program fee: GEL 2,000

Registration: 

If interested, please fill out the registration form and send your CV to the email.

After the documents are accepted, interviews will be held and groups will be formed.

The project is supported by the USAID Economic Security Program.