Dimensionality Reduction in Python
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Over 3 hoursMachine LearningJeroen Boeyecourse
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543 results
User-Oriented Design in Power BI
Learn how to design Power BI visualizations and reports with users in mind.
2-3 hoursData VisualizationMaarten Van den Broeckcourse
Introduction to Bash Scripting
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Over 3 hoursSoftware DevelopmentAlex Scrivencourse
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.
Over 3 hoursArtificial IntelligenceMichał Oleszakcourse
Introduction to NoSQL
Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
Over 3 hoursData EngineeringJake Roachcourse
Analyzing Marketing Campaigns with pandas
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Over 3 hoursExploratory Data AnalysisJack Rosokcourse
Unsupervised Learning in R
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
Over 3 hoursMachine LearningHank Roarkcourse
Artificial Intelligence (AI) Strategy
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Over 3 hoursArtificial IntelligenceVidhi Chughcourse
Data Strategy
Master strategic data management for business excellence.
1-2 hoursData ManagementCharles Howleycourse
Sampling in R
Master sampling to get more accurate statistics with less data.
Over 3 hoursProbability & StatisticsRichie Cottoncourse
Marketing Analytics for Business
Discover how Marketing Analysts use data to understand customers and drive business growth.
2-3 hoursLeadershipSarah DeAtleycourse
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.
Over 3 hoursMachine LearningJohn Mountcourse
Cleaning Data with PySpark
Learn how to clean data with Apache Spark in Python.
Over 3 hoursData PreparationMike Metzgercourse
NoSQL Concepts
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
2-3 hoursData EngineeringMiriam Antonacourse
Reshaping Data with tidyr
Transform almost any dataset into a tidy format to make analysis easier.
Over 3 hoursData ManipulationJeroen Boeyecourse
Intermediate Object-Oriented Programming in Python
Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
Over 3 hoursSoftware DevelopmentJake Roachcourse
Machine Learning for Finance in Python
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Over 3 hoursMachine LearningNathan Georgecourse
Intermediate Docker
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!
Over 3 hoursSoftware DevelopmentMike Metzgercourse
Pivot Tables in Google Sheets
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
2-3 hoursData ManipulationFrank Sumanskicourse
Introduction to GPTs
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Over 3 hoursArtificial IntelligenceJasmin Ludolfcourse
Reshaping Data with pandas
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Over 3 hoursData ManipulationMaria Eugenia Inzaugaratcourse
Reporting with R Markdown
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
Over 3 hoursReportingAmy Petersoncourse
Hyperparameter Tuning in Python
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Over 3 hoursMachine LearningAlex Scrivencourse
Financial Trading in Python
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
Over 3 hoursApplied FinanceChelsea Yangcourse
Data Preparation in Alteryx
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
Over 3 hoursData PreparationDeanna Sanchezcourse
Intermediate Google Sheets
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Over 3 hoursData PreparationRichie Cottoncourse
Monetizing Artificial Intelligence
Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.
1-2 hoursArtificial IntelligenceVin Vashishtacourse
MLOps Deployment and Life Cycling
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
Over 3 hoursMachine LearningNemanja Radojkovićcourse
Introduction to Oracle SQL
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
Over 3 hoursData ManipulationHadrien Lacroixcourse
Data Management Concepts
Master the key concepts of data management, from life cycle stages to security and governance.
2-3 hoursData ManagementSharon Omwegacourse