Kurser i data, AI och cloud

• MedelnivåKunskapsnivå
• 4.7+
• 324 recensioner

In this course youll learn about basic experimental design, a crucial part of any data analysis.

• MedelnivåKunskapsnivå
• 4.7+
• 214 recensioner

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

• MedelnivåKunskapsnivå
• 4.8+
• 201 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 634 recensioner

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• MedelnivåKunskapsnivå
• 4.8+
• 444 recensioner

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

• MedelnivåKunskapsnivå
• 4.8+
• 53 recensioner

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

• MedelnivåKunskapsnivå
• 4.7+
• 184 recensioner

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

• MedelnivåKunskapsnivå
• 4.8+
• 62 recensioner

Analyze text data in R using the tidy framework.

• MedelnivåKunskapsnivå
• 4.6+
• 98 recensioner

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

• MedelnivåKunskapsnivå
• 4.8+
• 268 recensioner

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

• MedelnivåKunskapsnivå
• 4.8+
• 473 recensioner

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

• MedelnivåKunskapsnivå
• 4.8+
• 219 recensioner

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

• MedelnivåKunskapsnivå
• 4.8+
• 69 recensioner

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

• MedelnivåKunskapsnivå
• 4.7+
• 601 recensioner

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

• MedelnivåKunskapsnivå
• 4.8+
• 42 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 175 recensioner

Learn how to visualize time series in R, then practice with a stock-picking case study.

• MedelnivåKunskapsnivå
• 4.8+
• 322 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 405 recensioner

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

• MedelnivåKunskapsnivå
• 4.7+
• 138 recensioner

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

• MedelnivåKunskapsnivå
• 4.8+
• 206 recensioner

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

• MedelnivåKunskapsnivå
• 4.7+
• 94 recensioner

Visualize seasonality, trends and other patterns in your time series data.

• MedelnivåKunskapsnivå
• 4.8+
• 436 recensioner

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

• MedelnivåKunskapsnivå
• 4.8+
• 267 recensioner

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

• MedelnivåKunskapsnivå
• 4.7+
• 369 recensioner

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

• MedelnivåKunskapsnivå
• 4.7+
• 286 recensioner

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

• MedelnivåKunskapsnivå
• 4.7+
• 377 recensioner

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

• MedelnivåKunskapsnivå
• 4.8+
• 488 recensioner

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

• MedelnivåKunskapsnivå
• 4.8+
• 178 recensioner

Learn how to identify, analyze, remove and impute missing data in Python.

• MedelnivåKunskapsnivå
• 4.8+
• 259 recensioner

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• MedelnivåKunskapsnivå
• 4.7+
• 333 recensioner

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.