Programming Paradigm Concepts
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Master strategic data management for business excellence.
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Learn how to produce interactive web maps with ease using leaflet.
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Learn all about how DataCamp builds the best platform to learn and teach data skills.
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.