Plan and Implement a Data Analytics Environment with Microsoft Fabric
Learn how to set up and manage your Microsoft Fabric infrastructure.
Over 3 hoursOtherDataCampcourse
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543 results
Hyperparameter Tuning in R
Learn how to tune your models hyperparameters to get the best predictive results.
Over 3 hoursMachine LearningShirin Elsinghorst (formerly Glander) course
Bayesian Modeling with RJAGS
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Over 3 hoursProbability & StatisticsAlicia Johnsoncourse
Case Studies: Network Analysis in R
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Over 3 hoursProbability & StatisticsTed Hartcourse
Defensive R Programming
Learn defensive programming in R to make your code more robust.
Over 3 hoursSoftware DevelopmentColin Gillespiecourse
Probability Puzzles in R
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Over 3 hoursProbability & StatisticsPeter Chicourse
Life Insurance Products Valuation in R
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Over 3 hoursApplied FinanceKatrien Antoniocourse
Building a Go-To-Market Strategy
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
1-2 hoursArtificial IntelligenceGeorge Boormancourse
Predicting CTR with Machine Learning in Python
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Over 3 hoursMachine LearningKevin Huocourse
Intermediate Interactive Data Visualization with plotly in R
Learn to create animated graphics and linked views entirely in R with plotly.
Over 3 hoursData VisualizationAdam Loycourse
HR Analytics: Predicting Employee Churn in R
Predict employee turnover and design retention strategies.
Over 3 hoursMachine LearningAnurag Guptacourse
Data Manipulation in Julia
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Over 3 hoursData ManipulationKaterina Zahradovacourse
Visualizing Big Data with Trelliscope in R
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Over 3 hoursData VisualizationRyan Hafencourse
Optimizing R Code with Rcpp
Use C++ to dramatically boost the performance of your R code.
Over 3 hoursSoftware DevelopmentTeam ThinkRcourse
Mixture Models in R
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Over 3 hoursProbability & StatisticsVictor Medinacourse
Concepts in Computer Science
Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.
Over 3 hoursSoftware DevelopmentPritesh Patelcourse
Introduction to Anomaly Detection in R
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Over 3 hoursProbability & StatisticsDataCamp Content Creatorcourse
Predictive Analytics using Networked Data in R
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Over 3 hoursProbability & StatisticsBart Baesenscourse
Recommending Skincare Products
Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.
1-2 hoursArtificial IntelligenceJames Chapmancourse
Intermediate Functional Programming with purrr
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Over 3 hoursSoftware DevelopmentColin FAYcourse
Data Management in Databricks
Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.
Over 3 hoursData ManagementSmriti Mishracourse
Scalable Data Processing in R
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Over 3 hoursSoftware DevelopmentMichael Kanecourse
Data Transformation in KNIME
Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.
Over 3 hoursData PreparationMahantesh Pattadkalcourse
AI-Assisted Product Launch
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
1-2 hoursArtificial IntelligenceMaarten Van den Broeckcourse
Introduction to Data Quality with Great Expectations
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Over 3 hoursData EngineeringDavina Moossazadehcourse
Data Manipulation in KNIME
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
Over 3 hoursData ManipulationPhilipp Kowalskicourse
AI-Assisted Restaurant Planning
Interact with a customized GPT and use your prompting skills to plan and open your restaurant.
1-2 hoursArtificial IntelligenceIason Prassidescourse
Data Visualization in KNIME
Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.
Over 3 hoursData VisualizationEmilio Silvestricourse
Distributed AI Model Training in Python
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Over 3 hoursArtificial IntelligenceDennis Leecourse
Generate a Study Guide
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.
1-2 hoursArtificial IntelligenceJasmin Ludolfcourse