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Intermediate Importing Data in R

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

Supply Chain Analytics in Python

Leverage the power of Python and PuLP to optimize supply chains.

Analyzing Business Data in SQL

Learn how to write SQL queries to compute key metrics used by businesses to measure performance.

Reshaping Data with tidyr

Transform almost any dataset into a tidy format to make analysis easier.

Build Your Own iOS App

In the Build Your Own iOS App capstone you will expand your repertoire of additional features and more advanced functions that may be implemented within […]

Introduction to Statistics in Python

Improve your statistical skills by learning how to use Python to collect, analyse, and draw accurate conclusions from data.

Building Data Engineering Pipelines in Python

Learn how to build data engineering pipelines in Python.

Intermediate Regression with statsmodels in Python

Learn to perform linear and logistic regression with multiple explanatory variables.

Data Manipulation with data.table in R

Learn the fundamentals of data manipulation, such as filtering, selecting, and calculating groupwise statistics with data. table.

Credit Risk Modeling in R

In order to model credit risk, use logistic regression and decision trees in a real-world setting.

Working with Data in the Tidyverse

Learn how to work with data using tidyverse tools and master the essential skills of taming and tidying your data.

Time Series Analysis in R

Learn the fundamental techniques for extracting meaningful insights from time series data.

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