Survival Analysis in Python
Use survival analysis to work with time-to-event data and predict survival time.
Over 3 hoursProbability & StatisticsShae Wangcourse
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543 results
Building Dashboards with flexdashboard
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Over 3 hoursReportingElaine McVeycourse
Importing and Managing Financial Data in R
Learn how to access financial data from local files as well as from internet sources.
Over 3 hoursApplied FinanceJoshua Ulrichcourse
Feature Engineering in R
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Over 3 hoursMachine LearningJorge Zazuetacourse
MLOps for Business
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.
Over 3 hoursMachine LearningArne Warnkecourse
Case Study: HR Analytics in Tableau
Explore HR data analysis in Tableau with this case study.
Over 3 hoursData VisualizationJess Ahmetcourse
Bond Valuation and Analysis in R
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Over 3 hoursApplied FinanceClifford Angcourse
Discrete Event Simulation in Python
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Over 3 hoursProbability & StatisticsDiogo Costa (PhD, MSc)course
Equity Valuation in R
Learn the fundamentals of valuing stocks.
Over 3 hoursApplied FinanceClifford Angcourse
Case Studies: Building Web Applications with Shiny in R
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Over 3 hoursReportingDean Attalicourse
Course Creation at DataCamp
Learn all about how DataCamp builds the best platform to learn and teach data skills.
Over 3 hoursData LiteracyKelsey McNeilliecourse
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Over 3 hoursProbability & StatisticsDataCamp Content Creatorcourse
Analyzing IoT Data in Python
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Over 3 hoursData ManipulationMatthias Voppichlercourse
ChIP-seq with Bioconductor in R
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Over 3 hoursProbability & StatisticsPeter Humburgcourse
Time Series Analysis in PostgreSQL
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Over 3 hoursData ManipulationJasmin Ludolfcourse
Dimensionality Reduction in R
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Over 3 hoursMachine LearningMatt Pickardcourse
Introduction to Natural Language Processing in R
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Over 3 hoursMachine LearningKasey Jonescourse
Conquering Data Bias
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
2-3 hoursData ManagementKonstantinos Kattidiscourse
Case Study: Ecommerce Analysis in Tableau
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Over 3 hoursData VisualizationDev Bhosalecourse
GARCH Models in R
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Over 3 hoursApplied FinanceKris Boudtcourse
Case Study: Analyzing Healthcare Data in Tableau
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Over 3 hoursData VisualizationMaarten Van den Broeckcourse
Analyzing US Census Data in R
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Over 3 hoursExploratory Data AnalysisKyle Walkercourse
R For SAS Users
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Over 3 hoursSoftware DevelopmentMelinda Higginscourse
Conditional Formatting in Google Sheets
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
2-3 hoursData ManipulationAdam Steinfurthcourse
Case Study: Inventory Analysis in Tableau
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
2-3 hoursData VisualizationIason Prassidescourse
Python for MATLAB Users
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Over 3 hoursSoftware DevelopmentJustin Kigginscourse
Choice Modeling for Marketing in R
Learn to analyze and model customer choice data in R.
Over 3 hoursProbability & StatisticsDataCamp Content Creatorcourse
HR Analytics: Predicting Employee Churn in Python
In this course youll learn how to apply machine learning in the HR domain.
Over 3 hoursMachine LearningHrant Davtyancourse
Performing Experiments in Python
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Over 3 hoursProbability & StatisticsLuke Haydencourse
Fine-Tuning with Llama 3
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
2-3 hoursArtificial IntelligenceFrancesca Donadonicourse