Introduction to Data Engineering (training)

Colleagues, in the “Introduction to Data Engineering” program you will learn the differences between a data engineer and a data scientist (and how they work together) before finding out more about the tools of the trade, specifically talking about cloud computing and parallel computing. By the end of the second chapter, you’ll understand the applications of SQL and NoSQL, using DataFrames, and why parallel computing is so important. Skill-based training exercises involve: 1) Perform ETL in Hands-on Exercises - how data is extracted, transformed, and loaded to get it ready for analysis and generating insights. At the end of the course, you’ll put all this knowledge into practice by performing and scheduling an ETL process yourself using real-world data, 2) Intermediate Python, 3) Intermediate SQL, 4) Introduction to Data Engineering - explore the differences between a data engineer and a data scientist, get an overview of the various tools data engineers use and expand your understanding of how cloud technology plays a role in data engineering, 5) Data engineering toolbox - learn in detail about different types of databases data engineers use, how parallel computing is a cornerstone of the data engineer's toolkit, and how to schedule data processing jobs using scheduling frameworks, 6) Extract, Transform and Load (ETL) - extract raw data from various sources, transform this raw data into actionable insights, and load it into relevant databases ready for consumption, and 7) Case Study - you will perform and schedule an ETL process that transforms raw course rating data, into actionable course recommendations. 

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/y23DrB 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson -  Data Science Academy (share with your team)