数据、人工智能和云计算课程

• 中间的技能水平
• 4.4+
• 164

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

• 中间的技能水平
• 4.5+
• 159

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

• 基本的技能水平
• 4.4+
• 158

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

• 中间的技能水平
• 4.7+
• 157

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

• 先进的技能水平
• 4.5+
• 156

Learn to use the Bioconductor package limma for differential gene expression analysis.

• 基本的技能水平
• 4.6+
• 152

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

• 中间的技能水平
• 4.2+
• 152

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

• 基本的技能水平
• 4.8+
• 151

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

• 中间的技能水平
• 4.7+
• 145

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• 基本的技能水平
• 4.7+
• 143

Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.

• 中间的技能水平
• 4.8+
• 142

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• 中间的技能水平
• 4.7+
• 139

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

• 先进的技能水平
• 4.6+
• 139

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

• 中间的技能水平
• 4.7+
• 138

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

• 中间的技能水平
• 4.6+
• 138

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

• 中间的技能水平
• 4.6+
• 138

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

• 先进的技能水平
• 4.6+
• 136

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• 中间的技能水平
• 4.5+
• 136

Learn the bag of words technique for text mining with R.

• 中间的技能水平
• 4.8+
• 135

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

• 先进的技能水平
• 4.4+
• 135

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

• 中间的技能水平
• 4.6+
• 134

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

• 基本的技能水平
• 4.4+
• 132

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

• 中间的技能水平
• 4.5+
• 126

Learn to easily summarize and manipulate lists using the purrr package.

• 先进的技能水平
• 4.4+
• 126

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

• 中间的技能水平
• 4.6+
• 122

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

• 基本的技能水平
• 4.2+
• 121

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

• 先进的技能水平
• 4.4+
• 120

In this course youll learn how to leverage statistical techniques for working with categorical data.

• 中间的技能水平
• 4.4+
• 119

In this course youll learn how to use data science for several common marketing tasks.

• 中间的技能水平
• 4.8+
• 117

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

• 中间的技能水平
• 4.6+
• 117

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