While data scientists do not possess the skills to become data engineers, they can acquire the relevant skill sets. If you aspire to become a data engineer, you can enroll in a Data Engineering and Analytics course to develop your data engineering skills. Pursuing a data engineering and analytics course will provide all the essential skills needed to thrive in the data engineering sector. From the fundamentals of cloud computing to database designing, the course provides you with a plethora of data engineering skills to make a career in data engineering.
Besides offering you a certification, a data engineering and analytics course will help you build a portfolio of data engineering projects and give you an edge when landing an entry-level position.
Data Engineering and Analytics: An Overview
Data engineering and analytics is a 45-week program that equips you with the skills and knowledge in data orchestration and real-time streaming analytics. You will learn to analyze, develop, and implement complex data structures. The course also enables you to write data orchestration in Python with the help of Google Composer.
The course is a perfect fit for those seeking a rewarding career in the Information Technology field as an experienced Data Analyst. Studying data engineering and analytics provides skills and access to a broad range of career opportunities. You will also be able to prepare the data infrastructure for analysis. The course makes you attractive in the eyes of potential employers.
Data Engineering and Analytics career opportunities
Studying the data engineering and analytics program will offer the skills to help you land many different roles. Some roles that you can consider after completing the course include the following:
- Database Administrator
- Data Analyst
- Data Conversion Analyst
- Data Architect
- Database Developer
- Data Migration Analyst
- Technical Architect
- Solutions Architect
- Machine Learning Engineer
- Business Intelligence Analyst
Entry requirements for Data Engineering and Analytics program
To apply for a course in data engineering and analytics program, you need to fulfill the following criteria:
- A Secondary School Diploma or equivalent
- You must be at least 19 years of age
- You need to have a good command of the English language
- You must have scored a 5.5 score in IELTS
- High school diploma
- Access to a personal computer
If you’re aspiring to become a successful data engineer, a data engineering and analytics course is the proven pathway to switching from data science. In addition, the course opens doors to many lucrative career opportunities and allows you to climb the career ladder. You can consider Canada to pursue this coveted degree as the nation has some top-ranked educational institutes that offer a proven quality of education and assist you in your career growth.
Moreover, the nation is well-known for its world-class education system, career opportunities, work-life balance, and thriving economy. Browse top Canadian educational institutes to make an informed decision. Explore now!
This article is written by Monika Sinha.