Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.8+
• 75

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

• IntermediateSkill Level
• 4.7+
• 72

Learn the fundamentals of valuing stocks.

• IntermediateSkill Level
• 4.7+
• 68

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

• AdvancedSkill Level
• 4.6+
• 68

Learn how to tune your models hyperparameters to get the best predictive results.

• IntermediateSkill Level
• 4.5+
• 68

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

• IntermediateSkill Level
• 4.7+
• 67

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

• IntermediateSkill Level
• 4.4+
• 67

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

• AdvancedSkill Level
• 4.3+
• 67

Are you curious about the inner workings of the models that are behind products like Google Translate?

• IntermediateSkill Level
• 4.7+
• 64

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

• IntermediateSkill Level
• 4.9+
• 63

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

• IntermediateSkill Level
• 4.7+
• 60

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

• AdvancedSkill Level
• 4.1+
• 60

Learn to analyze and model customer choice data in R.

• IntermediateSkill Level
• 4.8+
• 59

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

• IntermediateSkill Level
• 4.5+
• 59

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

• IntermediateSkill Level
• 4.9+
• 58

Use C++ to dramatically boost the performance of your R code.

• BasicSkill Level
• 4.7+
• 58

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

• BasicSkill Level
• 4.3+
• 57

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

• IntermediateSkill Level
• 4.8+
• 56

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• IntermediateSkill Level
• 4.4+
• 54

Predict employee turnover and design retention strategies.

• IntermediateSkill Level
• 4.8+
• 50

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

• BasicSkill Level
• 4.8+
• 48

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

• IntermediateSkill Level
• 4.5+
• 43

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

• AdvancedSkill Level
• 4.6+
• 41

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

• BasicSkill Level
• 4.6+
• 31

Innovating with Google Cloud AI

• IntermediateSkill Level
• 4.4+
• 31

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

• BasicSkill Level
• 4.5+
• 24

Exploring Data Transformation with Google Cloud

• BasicSkill Level
• 4.7+
• 19

Scaling with Google Cloud Operations

• BasicSkill Level
• 4.5+
• 16

Trust and Security with Google Cloud

• BasicSkill Level
• 4.5+
• 13

Modernize Infrastructure and Applications with Google Cloud

• BasicSkill Level
• 5.0+
• 8

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.