Data Science Academy
Welcome to the Data Science Academy, where you will have the opportunity to gain practical training in the fields of data analysis, machine learning, and data visualization.
Boost your analytical and statistical expertise by 420% and launch your career with the Data Science Academy!
Description
This program is designed to tackle complex statistical problems, predictive modeling, and machine learning. You’ll engage in intensive theoretical studies, hands-on project work, and the synthesis of large datasets while mastering all essential tools for data science.
Upon completing the 8-month program, which includes 250 class hours, you’ll be fully prepared for a career as a Data Analyst, Data Scientist, orData Engineer.
Benefits
- With each enrollment, you receive complimentary training courses valued at €590.
- AI course
valued at 250 € - Training in Teamwork and Introduction to Corporate Culture
valued at 120 € - Soft Skills Training
valued at 220 € - Internationally accredited program.
- Acquisition of practical skills.
- Professional development through project-based work.
- Industry readiness preparation.
- Mentorship and support.
Curriculum
Mandatory module
1. Introduction to Data Science
- Sales 101 – what is sales and where does it fit into business?
- Understanding the sales process
- A day in the life of a sales agent
- Introduction to the language of sales (terms and jargon)
Mandatory module
2. Introduction to relational databases (RDBMS, ElasticSearch, Hadoop)
- Sales and a winner's mindset.
- The psychological and motivational aspects of sales.
- Customer/Buyer Psychology.
Bonus modul
3. AI Unplugged
- The importance of thorough preparation.
- Industry and market research.
- Product knowledge.
- Lead generation techniques and tools.
- LinkedIn Sales Navigator, Microsoft Office, CRM extensions for Google Chrome
- Automation and Digitization
Mandatory module
4. Introduction to non - relational databases (RDBMS, ElasticSearch, Hadoop)
- Introduction to innovative and well-established sales techniques.
- Exploration of sales methodologies such as SPIN Selling, N.E.A.T. Selling, SNAP Selling, and others.
- Enhancing efficiency and productivity through this approach.
- Real examples and scenarios
Mandatory module
5. Visualization tools (Tableau, Power BI, Kibana)
- Research and working with various tools and technologies for sales
- CRM systems and tools for lead management
- Digital transformation and the sales revolution
- Masterclass on Artificial Intelligence – Intensive Sales in the Era of AI
Mandatory module
6. Introduction to programming with Python
- Most effective methods for developing sales skills.
- A fearless and dominant approach.
- Body language, mirroring technique, and writing skills.
- Business English language session.
- Building trust with the client/buyer.
- Excellence in Sales Strategies
Mandatory module
7. Python for Data Science
- Identifying objections.
- Techniques for handling objections.
- Stress is your enemy – how to avoid and overcome it.
- Resolving conflict situations – the client/buyer is always right, until they’re not.
- Masterclass on Psychology – taboo or useful practice?
Mandatory module
8. Math for Data Science
- Presentation skills
- Sales closing techniques
- What comes after a successfully closed sale?
- Results management
- Analytics and performance measurement
- Tools and digitization for maximizing performance
Mandatory module
9. Introduction to Machine learning
- How to stay in communication with customers after the sale is complete?
- Up-selling и cross-selling
- Long-Term Client Relationships – Advantages and Disadvantages
- Time management skills – the balance between new and existing clients
Mandatory module
10. Introduction to Deep learning
- How to sustain continuous improvement in your workflow
- Following the trends
Final module
9. Real-world project experience
- How to stay in communication with customers after the sale is complete?
- Up-selling и cross-selling
- Long-Term Client Relationships – Advantages and Disadvantages
- Time management skills – the balance between new and existing clients
Mentors
Coordinator
Aleksandar Razmovski
Principal Data Engineer @BlueCloud
Mentor
Violeta Manevа
Principal Data Engineer @BlueCloud
Mentor
Angel Dzekov
Mentor
Dana Taseva
Success stories
FAQ
Who is this academy for?
Avenga Academy’s Data Science Academy is designed for individuals with a strong interest in data analysis, data modeling, and the development of efficient, secure, and sustainable data solutions.
It is intended for individuals undergoing a career change, IT professionals, graduates, or students who have developed strong analytical intuition.
Is prior knowledge required?
No prior knowledge is required. By the end of this two-semester program, you’ll have developed the skills necessary to become a data scientist, with practical experience in machine learning to thrive in the fast-paced data science industry.
How is the training delivered?
Classes are held fully online, twice a week, with additional sessions every other Friday from 5:30 PM to 9:00 PM.
Payment methods
We offer two payment options: full payment or interest-free installments. Discounts are available at specific times of the year for both options. Installment plans are calculated from the time of application until the end of the academy (the number of installments depends on the duration of the program).
Payments can be made via bank deposit or electronic transfer—we do not accept payments on-site.
For installment plans, your presence is only required to sign the notarial contract.
Data Science Academy
2.700 €
2.100 €
- Start: October 2025
- Duration: 8 months
- Model: online
- Schedule: 2 / 3 times per week
- Time:17:30 – 20:00 h
