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  • Unit Testing for Data Science in Python
    Learn how to write unit tests for your Data Science projects in Python using pytest.
  • Working with Dates and Times in R
    Learn the essentials of parsing, manipulating and computing with dates and times in R.
  • Hyperparameter Tuning in Python
    Learn to tune hyperparameters in Python.
  • Cleaning Data with PySpark
    Learn how to clean data with Apache Spark in Python.
  • Intermediate DAX in Power BI
    Discover a wide range of DAX calculations and learn how to use them in in Microsoft Power BI.
  • Importing and Managing Financial Data in Python
    In this course, you'll learn how to import and manage financial data in Python using various tools and sources.
  • Sentiment Analysis in Python
    Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
  • Reshaping Data with tidyr
    Transform almost any dataset into a tidy format to make analysis easier.
  • Data Science for Business
    Learn about data science and how can you use it to strengthen your organization.
  • Model Validation in Python
    Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
  • AWS Cloud Concepts
    Learn the fundamentals of cloud computing with AWS.
  • Introduction to Bash Scripting
    Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
  • Functions for Manipulating Data in SQL Server
    Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
  • Intermediate Importing Data in R
    Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.
  • ARIMA Models in Python
    Learn about ARIMA models in Python and become an expert in time series analysis.
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