Online Predictive Analytics Training in Turkey

This instructor-led live training in Turkey (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.

By the end of this training, participants will be able to:

• Understand the fundamentals of predictive AI and generative models.
• Utilize AI-powered tools for predictive coding, forecasting, and automation.
• Implement LLMs (Large Language Models) and transformers for text and code generation.
• Apply time-series forecasting and AI-based recommendations.
• Develop and fine-tune AI models for real-world applications.
• Evaluate ethical considerations and best practices in AI deployment.

This instructor-led, live training in Turkey (online or onsite) is aimed at intermediate-level data professionals who wish to apply machine learning techniques to data-driven business problems, including sales forecasting and predictive modeling using neural networks.

By the end of this training, participants will be able to:

• Understand the core concepts and types of machine learning.
• Apply key algorithms for classification, regression, clustering, and association analysis.
• Perform exploratory data analysis and data preparation using Python.
• Use neural networks for nonlinear modeling tasks.
• Implement predictive analytics for business forecasting, including sales data.
• Evaluate and optimize model performance using visual and statistical techniques.

This instructor-led, live training in Turkey (online or onsite) targets beginner-level IT professionals seeking to understand the basics of Predictive AI.

By the conclusion of this training, participants will be able to:

• Comprehend the essential concepts of Predictive AI and its applications.
• Collect, clean, and preprocess data for predictive analysis.
• Explore and visualize data to uncover valuable insights.
• Build basic statistical models to make predictions.
• Evaluate the performance of predictive models.
• Apply Predictive AI concepts to real-world scenarios.

This instructor-led live training in Turkey (offered online or onsite) targets intermediate-level DevOps professionals who wish to integrate predictive AI into their DevOps workflows.

By the end of this training, participants will be able to:

• Deploy predictive analytics models to anticipate and resolve challenges within the DevOps pipeline.
• Employ AI-powered tools to enhance monitoring and operational capabilities.
• Apply machine learning techniques to optimize software delivery workflows.
• Develop AI strategies for proactive problem resolution and process optimization.
• Understand and address the ethical implications of using AI in DevOps.

In this instructor-led live training located in Turkey, participants will cultivate the mindset required to approach Big Data technologies, assess their impact on existing workflows and policies, and implement these technologies to identify criminal activity and prevent crime. Case studies from law enforcement organizations worldwide will be reviewed to provide insights into adoption approaches, challenges, and results.

By the conclusion of this training, participants will be capable of:

• Merging Big Data technology with traditional data gathering processes to piece together investigative narratives.
• Implementing industrial big data storage and processing solutions for data analysis.
• Preparing proposals for adopting the most suitable tools and processes to enable a data-driven approach to criminal investigation.

This instructor-led live training in Turkey (online or onsite) is tailored for data scientists and data analysts seeking to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

By the end of this training, participants will be able to:

• Import datasets into DataRobot to analyze, assess, and verify data quality.
• Construct and train models to identify key variables and achieve prediction goals.
• Interpret models to derive valuable insights that support business decision-making.
• Monitor and manage models to ensure optimal prediction performance.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level analysts, researchers, and professionals who wish to use SPSS for data preparation, statistical analysis, and predictive modeling.