Veri, Yapay Zeka ve Bulut Kursları

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 326

Build AI teams that work together, automate workflows, and generate content with CrewAI.

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 324

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

• TemelBeceri Seviyesi
• 4.8+
• 321

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 319

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 319

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 318

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• TemelBeceri Seviyesi
• 4.8+
• 316

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

• TemelBeceri Seviyesi
• 4.6+
• 316

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 315

Learn how to work with streaming data using serverless technologies on AWS.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 312

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• TemelBeceri Seviyesi
• 4.6+
• 311

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 310

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 309

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 308

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 305

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 300

Develop the skills you need to clean raw data and transform it into accurate insights.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 298

Learn how to write recursive queries and query hierarchical data structures.

• TemelBeceri Seviyesi
• 4.6+
• 298

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 294

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 294

Learn how to design and implement triggers in SQL Server using real-world examples.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 289

Learn how to segment customers in Python.

• TemelBeceri Seviyesi
• 4.7+
• 287

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 284

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• TemelBeceri Seviyesi
• 4.7+
• 279

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

• TemelBeceri Seviyesi
• 4.7+
• 269

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 269

Learn to solve increasingly complex problems using simulations to generate and analyze data.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 268

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 268

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

• TemelBeceri Seviyesi
• 4.5+
• 267

Learn how to set up and manage your Microsoft Fabric infrastructure.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 266

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.