Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 120

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

• IntermediateSkill Level
• 4.8+
• 117

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

• IntermediateSkill Level
• 4.7+
• 115

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• IntermediateSkill Level
• 4.6+
• 113

Learn how to access financial data from local files as well as from internet sources.

• IntermediateSkill Level
• 4.6+
• 113

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

• IntermediateSkill Level
• 4.4+
• 110

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

• IntermediateSkill Level
• 4.5+
• 105

Learn the fundamentals of valuing stocks.

• IntermediateSkill Level
• 4.7+
• 102

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

• IntermediateSkill Level
• 4.6+
• 101

Learn to create animated graphics and linked views entirely in R with plotly.

• IntermediateSkill Level
• 4.3+
• 101

Learn to detect fraud with analytics in R.

• IntermediateSkill Level
• 4.7+
• 98

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• IntermediateSkill Level
• 4.6+
• 97

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

• IntermediateSkill Level
• 4.5+
• 97

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

• IntermediateSkill Level
• 4.5+
• 97

Learn to analyze, plot, and model multivariate data.

• IntermediateSkill Level
• 4.7+
• 94

Explore HR data analysis in Tableau with this case study.

• IntermediateSkill Level
• 4.7+
• 94

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

• IntermediateSkill Level
• 4.3+
• 94

In this course youll learn how to apply machine learning in the HR domain.

• IntermediateSkill Level
• 4.3+
• 92

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

• IntermediateSkill Level
• 4.6+
• 89

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

• IntermediateSkill Level
• 4.4+
• 85

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

• IntermediateSkill Level
• 4.4+
• 84

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

• IntermediateSkill Level
• 4.6+
• 79

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

• IntermediateSkill Level
• 4.6+
• 79

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

• IntermediateSkill Level
• 4.8+
• 78

Learn defensive programming in R to make your code more robust.

• IntermediateSkill Level
• 4.5+
• 77

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

• IntermediateSkill Level
• 4.7+
• 68

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

• IntermediateSkill Level
• 4.6+
• 67

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

• IntermediateSkill Level
• 4.8+
• 66

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

• IntermediateSkill Level
• 4.5+
• 63

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

• IntermediateSkill Level
• 4.9+
• 62

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