Introduction to LLMs in Python
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Over 3 hoursArtificial IntelligenceIván Palomares Carrascosacourse
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543 results
Introduction to Object-Oriented Programming in Python
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
Over 3 hoursSoftware DevelopmentGeorge Boormancourse
Case Study: Analyzing Customer Churn in Excel
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
1-2 hoursReportingJess Ahmetcourse
End-to-End Machine Learning
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.
Over 3 hoursMachine LearningJoshua Stapletoncourse
Data Types in Python
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Over 3 hoursSoftware DevelopmentJason Myerscourse
Introduction to Google Sheets
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
2-3 hoursData PreparationJames Chapmancourse
Web Scraping in Python
Learn to retrieve and parse information from the internet using the Python library scrapy.
Over 3 hoursData PreparationThomas Laetschcourse
Forming Analytical Questions
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
1-2 hoursData LiteracyKonstantinos Kattidiscourse
AWS Cloud Technology and Services Concepts
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
Over 3 hoursCloudRahulraj Singhcourse
Intermediate Deep Learning with PyTorch
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
Over 3 hoursArtificial IntelligenceMichał Oleszakcourse
Big Data Fundamentals with PySpark
Learn the fundamentals of working with big data with PySpark.
Over 3 hoursData EngineeringUpendra Kumar Devisettycourse
Manipulating Time Series Data in Python
In this course youll learn the basics of working with time series data.
Over 3 hoursData ManipulationStefan Jansencourse
Introduction to Deep Learning in Python
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Over 3 hoursArtificial IntelligenceDan Beckercourse
Introduction to Importing Data in R
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Over 3 hoursData PreparationFilip Schouwenaarscourse
Containerization and Virtualization Concepts
Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!
2-3 hoursSoftware DevelopmentJulia Ostheimercourse
Exploratory Data Analysis in R
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Over 3 hoursExploratory Data AnalysisAndrew Braycourse
Hypothesis Testing in R
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Over 3 hoursProbability & StatisticsRichie Cottoncourse
Working with Categorical Data in Python
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Over 3 hoursData ManipulationKasey Jonescourse
Introduction to Microsoft Fabric
To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.
Over 3 hoursOtherAlex Kuntzcourse
Joining Data with dplyr
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Over 3 hoursData ManipulationDataCamp Content Creatorcourse
Introduction to Data Culture
Learn the key components of building a strong data culture within an organization.
1-2 hoursData LiteracyJoanne Xiongcourse
Introduction to APIs in Python
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
2-3 hoursSoftware DevelopmentChris Ramakerscourse
Supervised Learning in R: Classification
In this course you will learn the basics of machine learning for classification.
Over 3 hoursMachine LearningBrett Lantzcourse
Introduction to Data Engineering
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Over 3 hoursData EngineeringVincent Vankrunkelsvencourse
Generative AI for Business
Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.
1-2 hoursArtificial IntelligenceCarl Rosseelcourse
Machine Learning for Business
Understand the fundamentals of Machine Learning and how its applied in the business world.
2-3 hoursMachine LearningKarolis Urbonascourse
Software Engineering Principles in Python
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Over 3 hoursSoftware DevelopmentAdam Spannbauercourse
Cluster Analysis in Python
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Over 3 hoursMachine LearningShaumik Daityaricourse
Introduction to Kubernetes
In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.
Over 3 hoursSoftware DevelopmentFrank Heilmanncourse
Retrieval Augmented Generation (RAG) with LangChain
Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.
Over 3 hoursArtificial IntelligenceMeri Novacourse