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524 results

Introduction to Data Quality

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Clock2-3 hoursTagData ManagementUserChrissy BloomLearncourse

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.

ClockOver 3 hoursTagData VisualizationUserKevin FeaselLearncourse

Joining Data with dplyr

Learn to combine data across multiple tables to answer more complex questions with dplyr.

ClockOver 3 hoursTagData ManipulationUserDataCamp Content CreatorLearncourse

Analyzing Business Data in SQL

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

ClockOver 3 hoursTagReportingUserMichel SemaanLearncourse

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.

ClockOver 3 hoursTagData VisualizationUserAgata Bak-GeerinckLearncourse

Introduction to LLMs in Python

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

ClockOver 3 hoursTagArtificial IntelligenceUserIván Palomares CarrascosaLearncourse

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.

ClockOver 3 hoursTagData ManipulationUserJames ChapmanLearncourse

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.

ClockOver 3 hoursTagArtificial IntelligenceUserDan BeckerLearncourse

Introduction to Data Privacy

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Clock2-3 hoursTagData LiteracyUserTiffany LewisLearncourse

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.

ClockOver 3 hoursTagSoftware DevelopmentUserJason MyersLearncourse

Introduction to Data Culture

Learn the key components of building a strong data culture within an organization.

Clock1-2 hoursTagData LiteracyUserJoanne XiongLearncourse

Forming Analytical Questions

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Clock1-2 hoursTagData LiteracyUserKonstantinos KattidisLearncourse

Introduction to Data Engineering

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

ClockOver 3 hoursTagData EngineeringUserVincent VankrunkelsvenLearncourse

End-to-End Machine Learning

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

ClockOver 3 hoursTagMachine LearningUserJoshua StapletonLearncourse

Data Connections in Power BI

Discover the different ways you can enhance your Power BI data importing skills.

Clock2-3 hoursTagData ManipulationUserIason PrassidesLearncourse

Machine Learning for Business

Understand the fundamentals of Machine Learning and how its applied in the business world.

Clock2-3 hoursTagMachine LearningUserKarolis UrbonasLearncourse

Intermediate Deep Learning with PyTorch

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

ClockOver 3 hoursTagArtificial IntelligenceUserMichał OleszakLearncourse

Cleaning Data in R

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

ClockOver 3 hoursTagData PreparationUserMaggie MatsuiLearncourse

Intermediate Python for Finance

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

ClockOver 3 hoursTagApplied FinanceUserKennedy BehrmanLearncourse

Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

ClockOver 3 hoursTagProbability & StatisticsUserRichie CottonLearncourse

Image Processing in Python

Learn to process, transform, and manipulate images at your will.

ClockOver 3 hoursTagMachine LearningUserRebeca GonzalezLearncourse

Working with Llama 3

Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.

ClockOver 3 hoursTagArtificial IntelligenceUserImtihan AhmedLearncourse

Software Engineering Principles in Python

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

ClockOver 3 hoursTagSoftware DevelopmentUserAdam SpannbauerLearncourse

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.

Clock2-3 hoursTagSoftware DevelopmentUserChris RamakersLearncourse

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