This course will teach you to query data in your .NET applications using Entity Framework Core.

MongoDB’s Map-reduce stands strong as the number one choice for big data analytics. Learn about condensing a large volume of document data into a small set of aggregated results by creating versatile map and reduce functions in JavaScript.

In this course, you’ll learn how to query data in Snowflake using various query constructs and built-in functions - like Scalar, Aggregate, Analytic, Window, Table & Semi-structured functions - to clean up, transform, and analyze data.

The course teaches the core syntax and concepts of Transact-SQL.

This course solves the problem of loading data from CSV files.

In this course, you'll learn how to read data from various sources, like surveys, sensors, and machines, and how to use Python tools to clean, aggregate, and visualize it. You'll also explore the value of data for different use cases and industries.

Manipulating JSON files is essential to importing and processing JSON data in Python. This course teaches you to apply the most valuable and common JSON data and file operations available with the Python standard library.

Study the use of Apache Storm for processing real-time data streams and generating insights on-the-fly.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

This course covers the different data processing tools - including spreadsheets, Python, and relational databases - and deals with data quality issues and visualizing data for insight generation.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

This course targets the Business Intelligence (BI) Self Service professional who needs to obtain and shape data from multiple and various sources so that the data can provide useful BI to report viewers. The focus of this course is Power Query.