Learn how to create and back up your company's QuickBooks file and quickly set up shop.

Learn QuickBooks Pro 2018. Find out how to create and back up your company's QuickBooks file and quickly set up shop.

Get up and running with QuickBooks Pro 2019. Find out how to create and back up your company's QuickBooks file and quickly set up shop.

Learn QuickBooks Pro 2020 for small business accounting. Find out how to create and back up your company's QuickBooks file and quickly set up shop.

Do you wonder how to create and back up your company's QuickBooks file and quickly set up shop? Or how to add your banking information, credit cards, and historical data to the chart of accounts? How about how to set up your customers, vendors, employees, and inventory items? In this course, instructor Jess Stratton answers all these questions and more. Jess goes over the day-to-day operations that keep your business running: creating estimates, invoices, and sales receipts; processing payments; recording deposits; and printing checks. She covers how to run reports; find data about your business; and close the books, with end-of-year preparations. Jess concludes with a discussion on how to customize QuickBooks to meet your company’s specific needs as efficiently as possible.

Get tips and techniques for recording tricky income, expense, and banking transactions in QuickBooks.

Learn how to set up a new file in QuickBooks, whether starting from scratch or importing records from another accounting platform.

Learn how to model data in R, one of the most important tools available for data analysis, machine learning, and data science.

Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.

Learn R on your lunch break. This weekly series reviews the language features, development tools, and libraries that will make you a more productive R programmer.

Data scientists who use Excel realize that R is emerging as the new standard for statistical wrangling (especially for larger data sets). This course serves as the perfect bridge for the many Excel-reliant data analysts and business users who need to update their data science skills by learning R. Much of the course focuses on how crucial statistical tasks and operations are done in R—often with the DescTools package—as contrasted with Excel functions and Data Analysis add-in, and then scales up from there, showing the more powerful features of R. Conrad Carlberg helps you effectively toggle between both programs, moving data back and forth so you can get the best of both worlds. Learn about calculating descriptive statistics, running bivariate analyses, and more.

Learn how to format, compare, calculate, manage, and troubleshoot dates and times using R-based tools.

High-variety data can cause a slew of problems for data scientists. In this course, learn what these problems are and how to use the unique capabilities of R to solve them.

Learn how to work your mojo on high-velocity data with R. Discover how to acquire, process, and present high-velocity data using this popular programming language.

Analyze high-volume data using R, the language optimized for big data. Learn how to produce visualizations, implement parallel processing, and integrate with SQL and Apache Spark.

Learn how to choose and install a version of R-base R, tidyverse R, R Open, or Bioconductor R-and install useful R packages.