数据、AI 和云课程

• 中级技能水平
• 4.7+
• 324 条评价

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

• 中级技能水平
• 4.7+
• 214 条评价

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.

• 中级技能水平
• 4.8+
• 201 条评价

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

• 中级技能水平
• 4.8+
• 634 条评价

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

• 中级技能水平
• 4.8+
• 444 条评价

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

• 中级技能水平
• 4.8+
• 53 条评价

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

• 中级技能水平
• 4.7+
• 184 条评价

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

• 中级技能水平
• 4.8+
• 62 条评价

Analyze text data in R using the tidy framework.

• 中级技能水平
• 4.6+
• 98 条评价

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

• 中级技能水平
• 4.8+
• 268 条评价

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

• 中级技能水平
• 4.8+
• 473 条评价

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

• 中级技能水平
• 4.8+
• 219 条评价

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

• 中级技能水平
• 4.8+
• 69 条评价

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

• 中级技能水平
• 4.7+
• 601 条评价

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

• 中级技能水平
• 4.8+
• 42 条评价

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

• 中级技能水平
• 4.8+
• 175 条评价

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

• 中级技能水平
• 4.8+
• 322 条评价

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

• 中级技能水平
• 4.8+
• 405 条评价

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

• 中级技能水平
• 4.7+
• 138 条评价

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

• 中级技能水平
• 4.8+
• 206 条评价

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

• 中级技能水平
• 4.7+
• 94 条评价

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

• 中级技能水平
• 4.8+
• 436 条评价

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

• 中级技能水平
• 4.8+
• 267 条评价

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

• 中级技能水平
• 4.7+
• 369 条评价

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

• 中级技能水平
• 4.7+
• 286 条评价

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

• 中级技能水平
• 4.7+
• 377 条评价

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

• 中级技能水平
• 4.8+
• 488 条评价

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

• 中级技能水平
• 4.8+
• 178 条评价

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

• 中级技能水平
• 4.8+
• 259 条评价

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

• 中级技能水平
• 4.7+
• 333 条评价

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