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
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523 results
Case Study: HR Analytics in Power BI
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Over 3 hoursData ManipulationJess Ahmetcourse
Introduction to Java
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.
Over 3 hoursSoftware DevelopmentJim Whitecourse
Big Data Fundamentals with PySpark
Learn the fundamentals of working with big data with PySpark.
Over 3 hoursData EngineeringUpendra Kumar Devisettycourse
Introduction to Data Quality
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.
2-3 hoursData ManagementChrissy Bloomcourse
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
Reports in Power BI
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Over 3 hoursData VisualizationKevin Feaselcourse
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
Manipulating Time Series Data in Python
In this course youll learn the basics of working with time series data.
Over 3 hoursData ManipulationStefan Jansencourse
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
Joining Data with dplyr
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Over 3 hoursData ManipulationDataCamp Content Creatorcourse
Data Visualization in Tableau
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Over 3 hoursData VisualizationAgata Bak-Geerinckcourse
Data Analysis in Google Sheets
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Over 3 hoursData ManipulationJames Chapmancourse
Introduction to Data Privacy
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
2-3 hoursData LiteracyTiffany Lewiscourse
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
Machine Learning for Business
Understand the fundamentals of Machine Learning and how its applied in the business world.
2-3 hoursMachine LearningKarolis Urbonascourse
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
Working with Llama 3
Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.
Over 3 hoursArtificial IntelligenceImtihan Ahmedcourse
Containerization and Virtualization Concepts
Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!
2-3 hoursSoftware DevelopmentJulia Ostheimercourse
Understanding Microsoft Azure Management and Governance
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
2-3 hoursCloudAnneleen Rummenscourse
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
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
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 Data Culture
Learn the key components of building a strong data culture within an organization.
1-2 hoursData LiteracyJoanne Xiongcourse
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
Data Connections in Power BI
Discover the different ways you can enhance your Power BI data importing skills.
2-3 hoursData ManipulationIason Prassidescourse
AWS Cloud Technology and Services
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
Over 3 hoursCloudRahulraj Singhcourse
Understanding Modern Data Architecture
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
2-3 hoursData EngineeringMiller Trujillocourse
Cleaning Data in R
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.
Over 3 hoursData PreparationMaggie Matsuicourse
Intermediate Python for Finance
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Over 3 hoursApplied FinanceKennedy Behrmancourse