Source – https://solutionsreview.com/
Data analytics skills are in high demand among organizations that are looking to use their collected data to generate valuable business insight. The pandemic and subsequent “new normal” of remote work are furthering demands for these skills. Many are turning to online learning platforms to up their game and acquire the data analytics skills most likely to help them stand out. And whether you are looking to acquire those skills for work or for play, this collection of Skillshare data analytics courses will help you learn the ropes so you can pilot some of the most widely used tools in no time!
With this in mind, the editors at Solutions Review have compiled this list of top-rated Skillshare data analytics courses to consider taking during the platform’s 40 percent off an annual subscription (with code aff40dtp at checkout) deal. Skillshare is perfect for those looking to take multiple courses or acquire skills in multiple different areas, or for those who want the most in-depth experience possible through access to entire course libraries or learning paths. In sum, millions of members use Skillshare to take the next step in their journey.
Note: Our editors assembled this directory by listing top-rated Skillshare big data courses in the most popular associated coverage areas including Hadoop, data warehousing, ETL (Extract, Transform, Load), Cloudera, Apache Cassandra, data management, and MuleSoft.
Excel 101: Big Data Analysis & Reporting in Excel for 2019
Platform: Skillshare
Description: In this course you will learn multiple ways to take large data sets and do exactly what you need to with it. By the end of this course, you will be able to use any of the multiple tools, tips, and techniques you’ll be learning to effectively and quickly take data, create professional reports, and most important read and interpret large data sets.
Related path/track: The Ultimate Hands-On Hadoop: Tame your Big Data!
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Big Data and Hadoop for Beginners – with Hands-on!
Platform: Skillshare
Description: The main objective of this course is to help you understand complex architectures of Hadoop and its components, guide you in the right direction to start with, and quickly start working with Hadoop and its components. This course comes with a lot of hands-on examples which will help you learn Hadoop quickly.
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Data Warehouse ETL Testing & Data Quality Management A-Z
Platform: Skillshare
Description: Learn the essentials of ETL data warehouse testing and data quality management through this step-by-step tutorial. This course takes you through the basics of ETL testing, frequently used data quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for data quality monitoring and build data quality visualizations and reports. The course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer.
Related paths/tracks: AWS Data Warehouse – Build with Redshift and QuickSight, Snowflake Cloud Data Warehouse and Essential SQL Training
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Data Warehouse ETL Testing & Data Quality Management A-Z
Platform: Skillshare
Description: Learn the essentials of ETL data warehouse testing and data quality management through this step-by-step tutorial. This course takes you through the basics of ETL testing, frequently used data quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for data quality monitoring and build data quality visualizations and reports. The course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer.
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MuleSoft Mule ESB from scratch
Platform: Skillshare
Description: This course teaches you the Mulesoft from scratch. No prior knowledge is required to understand this course. The module will cover all major connectors and events which are required to understand the Mule-ESB concept. At the end of this course, students should be able to build an application network using API-led connectivity and Anypoint Studio, use Anypoint Exchange as a central repository for the discovery and reuse of assets, and use flow designer to build apps that consume assets and connect systems.