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  • Introduction to Oracle SQL
    Learn how to import and manipulate data with Oracle SQL.
  • Bayesian Data Analysis in Python
    Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
  • Customer Segmentation in Python
    Learn how to segment customers in Python.
  • Case Studies in Statistical Thinking
    Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
  • Cleaning Data in PostgreSQL Databases
    Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
  • Intermediate Functional Programming with purrr
    Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
  • Machine Learning with Tree-Based Models in R
    Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
  • 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.
  • Winning a Kaggle Competition in Python
    Learn how to approach and win competitions on Kaggle.
  • Modeling with Data in the Tidyverse
    Explore Linear Regression in a tidy framework.
  • Structural Equation Modeling with lavaan in R
    Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
  • Options Trading in Spreadsheets
    Learn how to price options contracts and visualize payout of various options strategies using spreadsheets.
  • Hierarchical and Recursive Queries in SQL Server
    Learn how to write recursive queries and query hierarchical data structures.
  • Hierarchical and Mixed Effects Models in R
    In this course you will learn to fit hierarchical models with random effects.
  • Web Scraping in R
    Learn how to efficiently collect and download data from any website using R.
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