Available online or on-site, our instructor-led Data Science training courses emphasize hands-on practice, demonstrating how to extract valuable knowledge from data in various formats.
Data Science training is offered as either 'online live training' or 'onsite live training'. Online live training (also known as 'remote live training') is conducted through an interactive remote desktop. Onsite live training can be delivered locally at client premises in Sofia or at NobleProg corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
This instructor-led, live training in Sofia (online or onsite) is aimed at beginner-level professionals who wish to understand the concept of pre-trained models and learn how to apply them to solve real-world problems without building models from scratch.
By the end of this training, participants will be able to:
Understand the concept and benefits of pre-trained models.
Explore various pre-trained model architectures and their use cases.
Fine-tune a pre-trained model for specific tasks.
Implement pre-trained models in simple machine learning projects.
This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.
By the end of this training, participants will be able to:
Set up a data science environment in AWS Cloud9.
Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
Utilize AWS Cloud9 for machine learning model development and deployment.
Optimize cloud-based workflows for data analysis and processing.
This instructor-led live training, delivered Sofia (online or onsite), is designed for intermediate-level participants who wish to automate and manage machine learning workflows. The curriculum covers model training, validation, and deployment using Apache Airflow.
Upon completion of this training, participants will be equipped to:
Configure Apache Airflow specifically for orchestrating machine learning workflows.
Automate essential tasks such as data preprocessing, model training, and validation.
Seamlessly integrate Airflow with various machine learning frameworks and tools.
Deploy machine learning models through the use of automated pipelines.
Monitor and optimize machine learning workflows within production environments.
This instructor-led, live training in Sofia (online or on-site) is designed for novice data scientists and IT professionals eager to grasp the fundamentals of data science utilizing Google Colab.
Upon completing this training, participants will be equipped to:
This 35-hour instructor-led course in Sofia guides participants in utilizing Python to construct practical financial applications. Through an intensive hands-on methodology that merges theoretical instruction with rigorous practice, it explores data analysis, asset allocation, and risk management.
This 35-hour course on Sofia focuses on practical Data Science and AI applications using Python. Participants will engage with CRISP-DM workflows, machine learning utilizing TensorFlow, NLP, and Big Data via Spark. It is designed for beginners aiming to acquire career-ready analytics skills and obtain a Python data science certification applicable to business scenarios.
This instructor-led training in Sofia provides an introduction to KNIME Analytics Platform for data-driven innovation. Learners will acquire the skills to construct data science scenarios, train and validate models, and implement end-to-end data value chains through practical exercises and hands-on labs.
This instructor-led, live training in Sofia (online or onsite) is designed for intermediate-level data analysts, developers, or aspiring data scientists who aim to apply machine learning techniques in Python to extract insights, make predictions, and automate data-driven decisions.
Upon completion of this course, participants will be able to:
Comprehend and distinguish between key machine learning paradigms.
Explore data preprocessing techniques and model evaluation metrics.
Apply machine learning algorithms to address real-world data challenges.
Utilize Python libraries and Jupyter notebooks for practical development.
Construct models for prediction, classification, recommendation, and clustering.
Read more...
Last Updated:
Testimonials (2)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
Online Data Science training in Sofia, Data Science training courses in Sofia, Weekend Data Science courses in Sofia, Evening Data Science training in Sofia, Data Science instructor-led in Sofia, Data Science on-site in Sofia, Data Science classes in Sofia, Evening Data Science courses in Sofia, Data Science one on one training in Sofia, Data Science instructor in Sofia, Data Science coaching in Sofia, Data Science private courses in Sofia, Online Data Science training in Sofia, Data Science instructor-led in Sofia, Weekend Data Science training in Sofia, Data Science trainer in Sofia, Data Science boot camp in Sofia
