डेटा, एआई और क्लाउड पाठ्यक्रम

• मध्यवर्तीकौशल स्तर
• 4.2+
• 206

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

• मध्यवर्तीकौशल स्तर
• 4.1+
• 205

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

• विकसितकौशल स्तर
• 4.6+
• 204

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

• विकसितकौशल स्तर
• 4.5+
• 204

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

• मध्यवर्तीकौशल स्तर
• 4.1+
• 204

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

• मध्यवर्तीकौशल स्तर
• 4.6+
• 203

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• मध्यवर्तीकौशल स्तर
• 4.3+
• 203

Azure Security

• विकसितकौशल स्तर
• 4.5+
• 199

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

• मध्यवर्तीकौशल स्तर
• 4.6+
• 198

Learn to streamline your machine learning workflows with tidymodels.

• मध्यवर्तीकौशल स्तर
• 4.5+
• 198

Learn to build recommendation engines in Python using machine learning techniques.

• विकसितकौशल स्तर
• 4.7+
• 196

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

• विकसितकौशल स्तर
• 4.7+
• 192

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

• मध्यवर्तीकौशल स्तर
• 4.6+
• 188

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

• बुनियादीकौशल स्तर
• 3.9+
• 187

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

• मध्यवर्तीकौशल स्तर
• 4.8+
• 186

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

• बुनियादीकौशल स्तर
• 4.4+
• 184

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

• विकसितकौशल स्तर
• 4.6+
• 183

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

• बुनियादीकौशल स्तर
• 4.6+
• 179

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 179

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

• मध्यवर्तीकौशल स्तर
• 4.7+
• 178

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

• विकसितकौशल स्तर
• 4.6+
• 178

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• मध्यवर्तीकौशल स्तर
• 4.6+
• 177

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

• मध्यवर्तीकौशल स्तर
• 4.4+
• 173

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

• मध्यवर्तीकौशल स्तर
• 4.8+
• 172

Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

• मध्यवर्तीकौशल स्तर
• 4.7+
• 172

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

• विकसितकौशल स्तर
• 4.2+
• 169

In this course youll learn how to perform inference using linear models.

• मध्यवर्तीकौशल स्तर
• 4.2+
• 169

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 167

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

• विकसितकौशल स्तर
• 4.4+
• 167

In this course youll learn techniques for performing statistical inference on numerical data.

• मध्यवर्तीकौशल स्तर
• 4.8+
• 165

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.