Description

The Data Engineering Foundations Specialization is published by Coursera Academy. Data engineering is one of the fastest-growing careers in technology, with demand for skilled data engineers far outstripping supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision-making. This specialization from IBM helps anyone interested in pursuing a career in data engineering by teaching them the essential skills to get started in the field. No prior experience in data engineering is required to succeed in this specialization.

This specialization consists of 5 self-paced online courses that cover the skills required for data engineering, including the data engineering ecosystem and lifecycle, Python, SQL, and relational databases. You will learn these data engineering prerequisites through engaging videos and hands-on practice using real tools and real-world databases. You will develop your understanding of data engineering, gain skills that can be directly applied to your data career, and build the foundation for your data engineering career. Upon successful completion of these courses, you will have the practical knowledge and experience needed to delve deeper into data engineering and work on more advanced data engineering projects.

What you will learn

  • Practical knowledge of the data engineering ecosystem and lifecycle. Insights and tips from data professionals on getting started in the field.
  • Python programming fundamentals including data structures, logic, working with files, calling APIs, using libraries like Pandas and Numpy, performing ETL.
  • Fundamentals of relational databases including database design, creating schemas, tables, constraints, and working with MySQL, PostgreSQL, and IBM Db2.
  • SQL query language, SELECT, INSERT, UPDATE, DELETE commands, database functions, stored procedures, working with multiple tables, JOINs, and transactions.

Data Engineering Foundations Specialization Course Details

  • Publisher: Coursera
  • Instructor: Abhishek Gagneja
  • Language: English
  • Education level: Elementary
  • Number of lessons: 5
  • Training duration: 2 months, including 10 hours of work per week

Data Engineering Foundations Specialization Course Topics

Data Engineering Foundations Specialization

Course prerequisites

  • Basic Computer & IT Literacy, and working experience on one or more Operating Systems. No prior knowledge or experience of Data Engineering needed

Pictures

Data Engineering Foundations Specialization

Sample video

Video display

00:00
03:22

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Download link

Course 1 – Introduction to Data Engineering

Download – 828 MB

Course 2 – Python for Data Science, AI & Development

Download – 142 MB

Course 3 – Python Project for Data Engineering

Download – 9 MB

Course 4 – Introduction to Relational Databases (RDBMS)

Download – 240 MB

Course 5 – Databases and SQL for Data Science with Python

Download – 186 MB

 

File size

1.37 GB

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