Informações principais
Sobre o conteúdo
Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision-making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field. No prior data engineering experience is required to succeed in this Specialization.
The Specialization consists of 5 self-paced online courses covering 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'll develop your understanding of data engineering, gain skills that can be applied directly to a data career, and build the foundation of your data engineering career.
Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper into data engineering and work on more advanced data engineering projects.
Pré-requisito
Basic Computer & IT Literacy, and working experience on one or more Operating Systems.
No prior knowledge or experience of Data Engineering needed.
Programa de estudos
- Course 1: Introduction to Data Engineering
- Course 2: Python for Data Science, AI & Development
- Course 3: Python Project for Data Engineering
- Course 4: Introduction to Relational Databases (RDBMS)
- Course 5: Databases and SQL for Data Science with Python
Instrutores
Rav Ahuja
Global Program Director, IBM Skills Network
Joseph Santarcangelo
Ph.D., Data Scientist at IBM, IBM Developer Skills Network
Sandip Saha Joy
Cognitive Data Scientist, IBM Developer Skills Network
Rose Malcolm
Senior Instructional Designer & Content Developer, Skill-Up Technologies
Priya Kapoor
Senior Instructional Designer & Content Developer, Skill-up Technologies
Ramesh Sannareddy
Data Engineering Subject Matter Expert, Skill-up Technologies
Lin Joyner
Senior Instructional Designer & Content Developer, Skill-Up Technologies
Hima Vasudevan
Data Scientist, IBM
Criador do conteúdo
International Business Machines Corporation, connue sous l’abréviation IBM, est une société multinationale américaine présente dans les domaines du matériel informatique, du logiciel et des services informatiques.
Plataforma
A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.
O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours
Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision-making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field. No prior data engineering experience is required to succeed in this Specialization.
Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision-making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field. No prior data engineering experience is required to succeed in this Specialization.
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