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486 results

Introduction to Data Modeling in Snowflake

Step right into the dynamic world of data modeling with Snowflake!

ClockOver 3 hoursTagData EngineeringUserMargarita TorresLearncourses

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 BehrmanLearncourses

AWS Cloud Technology and Services

Master AWS cloud technology with our course - ideal for hands-on learning and practical applications in the AWS ecosystem.

ClockOver 3 hoursTagCloudUserRahulraj SinghLearncourses

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

ClockOver 3 hoursTagMachine LearningUserHank RoarkLearncourses

Introduction to Data Ethics

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Clock1-2 hoursTagData LiteracyUserShalini KurapatiLearncourses

Reporting with R Markdown

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

ClockOver 3 hoursTagReportingUserAmy PetersonLearncourses

A/B Testing in Python

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

ClockOver 3 hoursTagProbability & StatisticsUserMoe Lotfy, PhDLearncourses

Dimensionality Reduction in Python

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

ClockOver 3 hoursTagMachine LearningUserJeroen BoeyeLearncourses

Sampling in R

Master sampling to get more accurate statistics with less data.

ClockOver 3 hoursTagProbability & StatisticsUserRichie CottonLearncourses

Cleaning Data with PySpark

Learn how to clean data with Apache Spark in Python.

ClockOver 3 hoursTagData PreparationUserMike MetzgerLearncourses

NoSQL Concepts

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Clock2-3 hoursTagData EngineeringUserMiriam AntonaLearncourses

Financial Analysis in Power BI

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

ClockOver 3 hoursTagData VisualizationUserNick EdwardsLearncourses

Pivot Tables in Google Sheets

Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.

Clock2-3 hoursTagData ManipulationUserFrank SumanskiLearncourses

Introduction to R for Finance

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

ClockOver 3 hoursTagApplied FinanceUserLore DirickLearncourses

Artificial Intelligence (AI) Strategy

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

ClockOver 3 hoursTagArtificial IntelligenceUserVidhi ChughLearncourses

Introduction to Bash Scripting

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

ClockOver 3 hoursTagProgrammingUserAlex ScrivenLearncourses

Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

ClockOver 3 hoursTagMachine LearningUserKasey JonesLearncourses

Image Modeling with Keras

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

ClockOver 3 hoursTagArtificial IntelligenceUserAriel RokemLearncourses

Cleaning Data in PostgreSQL Databases

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

ClockOver 3 hoursTagData PreparationUserDarryl Reeves Ph.DLearncourses

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

ClockOver 3 hoursTagMachine LearningUserJohn MountLearncourses

Reshaping Data with pandas

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

ClockOver 3 hoursTagData ManipulationUserMaria Eugenia InzaugaratLearncourses

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

ClockOver 3 hoursTagProbability & StatisticsUserDavid S. MattesonLearncourses

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

ClockOver 3 hoursTagMachine LearningUserMax KuhnLearncourses

Deep Learning for Images with PyTorch

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

ClockOver 3 hoursTagArtificial IntelligenceUserMichał OleszakLearncourses

Sentiment Analysis in Python

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

ClockOver 3 hoursTagMachine LearningUserVioleta MishevaLearncourses

Deep Learning for Text with PyTorch

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

ClockOver 3 hoursTagArtificial IntelligenceUserShubham JainLearncourses

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