Veri, Yapay Zeka ve Bulut Kursları

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 220

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

• TemelBeceri Seviyesi
• 4.5+
• 218

Get inspired by AI tools to automate prospecting, draft personalized emails, and streamline CRM tasks using Microsoft Copilot for sales.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 218

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 217

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

• TemelBeceri Seviyesi
• 4.5+
• 214

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 211

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 211

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 211

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 210

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

• TemelBeceri Seviyesi
• 4.6+
• 209

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 205

Learn to use the Census API to work with demographic and socioeconomic data.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 203

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

• TemelBeceri Seviyesi
• 4.8+
• 202

Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 201

Learn how to pull character strings apart, put them back together and use the stringr package.

• TemelBeceri Seviyesi
• 4.5+
• 198

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

• TemelBeceri Seviyesi
• 4.4+
• 194

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 192

Learn how to load, transform, and transcribe speech from raw audio files in Python.

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 191

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

• İleri SeviyeBeceri Seviyesi
• 4.7+
• 190

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

• TemelBeceri Seviyesi
• 4.8+
• 187

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

• TemelBeceri Seviyesi
• 4.6+
• 185

Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

• TemelBeceri Seviyesi
• 4.4+
• 182

Learn how to produce interactive web maps with ease using leaflet.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 180

This course is for R users who want to get up to speed with Python!

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 177

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 177

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 176

Learn to use the Bioconductor package limma for differential gene expression analysis.

• İleri SeviyeBeceri Seviyesi
• 4.5+
• 176

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 175

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 173

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 172

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.