Weekend data science training programs Tbilisi

Boost your career with our Weekend Data Science Training Programs in Tbilisi. Designed for working professionals, these courses fit perfectly into your busy schedule and offer practical, hands-on knowledge that you can apply immediately at work.

Key Highlights

Industry-Experienced Instructors

Comprehensive curriculum

Expert faculty with industry experience

Prestigious certification upon completion

Ongoing support and resources post-program

Live Online Training

Career advancement opportunities

Transformative learning experience

Flexible Learning Schedule

About the program

This program is designed to provide participants with advanced knowledge and practical skills in data science. It covers a wide range of topics, including data analysis, statistical methods, machine learning algorithms, data visualization, and more.

Participants will have the opportunity to learn from industry experts through a combination of lectures, hands-on exercises, and real-world projects. The curriculum is carefully crafted to ensure that participants gain a deep understanding of key concepts and acquire the necessary skills to excel in today’s rapidly evolving data science landscape.

Upon successful completion of the program, participants will receive a certification that demonstrates their expertise in data science, enhancing their career opportunities in the field. With a focus on practical learning and industry relevance, this program equips participants with the tools and knowledge they need to succeed in the dynamic world of data science.

What Will You Learn?

Data Analysis & Visualization

Learn how to analyze data and present your findings in a compelling way

Statistical Methods

Understand and apply statistical techniques to data analysis.

Machine Learning

Get hands-on experience with machine learning algorithms and techniques.

Big Data Technologies

Learn about the tools and technologies used to handle large datasets.

Programming Skills

Enhance your programming skills in languages such as Python and R.

Domain Knowledge

Specialize in finance, healthcare, or marketing to apply data science effectively.

Transitioning to a new career

As a student from Tbilisi transitioning from marketing to data science, I initially found the switch quite challenging. However, this program made the transition smooth and manageable. The hands-on projects and invaluable guidance from mentors were instrumental in my success. Within six months of completing the course, I was thrilled to secure a position as a Data Scientist at a prominent tech firm

Anna Ivanishvili

Data Scientist

Coming from a finance background, I was unsure about how to enter the field of data science. The program’s structured approach and practical projects helped bridge the gap. The mentors were always available for guidance, which was incredibly helpful. I am now a Machine Learning Engineer at a leading technology company, just six months after graduation.

Giorgi Tsereteli

Machine Learning Engineer
Switching from sales to data science seemed overwhelming at first, but the comprehensive curriculum and support from mentors made it possible. The real-world projects were particularly beneficial. Six months after completing the course, I landed a job as a Data Analyst at a major tech firm in Tbilisi

Nino Kapanadze

Data Analyst

With a background in human resources, I was looking for a career change into data science. The program’s focus on practical applications and mentor support was key to my success. In just half a year after finishing the course, I secured a position as a Business Intelligence Analyst at a top tech company.

Levan Beridze

Business Intelligence Analyst

Transitioning from an administrative role to data science was daunting, but this program made it achievable. The hands-on experience and mentor guidance were invaluable. Six months post-completion, I’m excited to be working as a Data Engineer at a well-known tech firm in Tbilisi

Mariam Abashidze

Data Engineer

Professional Growth and Development

Increased Opportunities and Advancement

Alignment with Personal Goals and Values

Adaptability and Resilience:

Who Can Apply for the Course?

Roles That Data Scientists Can Fulfill

Data Analyst

Analyzes data to extract actionable insights and support decision-making processes.

Machine Learning Engineer

Develops and implements machine learning models and algorithms.

Data Engineer

Designs, builds, and maintains data pipelines and infrastructure

Business Intelligence Analyst

Uses data to help businesses make informed decisions and strategies.

Research Scientist

Conducts advanced data research and experiments to develop new methodologies.

Quantitative Analyst

Applies mathematical models to solve financial and risk management problems.

Skill Covered

Python Programming

Big Data Technologies

NLP

Data Wrangling

Statistical Analysis

SQL

Data Ethics and Privacy

Predictive Modeling

Machine Learning

Data Mining

A/B Testing

Data Visualization

Deep Learning

Data Engineering

Tools Covered

Frequently Asked Questions

The duration varies from 2 months to 9 months, depending on the course you choose. Part-time and full-time options are available to fit your schedule.

Most courses offer flexible formats, including online, on-campus, and hybrid options, allowing you to choose the one that best suits your needs.

While some courses require basic knowledge of programming and statistics, others are designed for beginners. Check the prerequisites for each course before applying.

Yes, you will receive a certificate of completion or a degree, depending on the course you choose. These credentials can enhance your resume and career prospects.

Many course providers offer financing options, including installment plans, scholarships, and employer-sponsored programs. Check with the course provider for specific details.

Data science skills are in high demand across various industries. Completing these courses can open up new career opportunities, lead to higher salaries, and provide job security.

Apply Now for the Data Science Certification Courses

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