Data Engineering Course FAQs

• What is Data Engineering?

  Data engineering is an aspect of data science focused on the practical application of data collection and pipelining. It involves designing and building systems to collect and analyze data in its raw form from a variety of sources.

  A Data engineer builds data warehouse, data models, manage data pipelines and processing systems by cleaning out these raw data clusters and deriving meaningful information from them to help make better business decisions.

• What does a Data Engineer do?

  With organizations relying heavily on data to drive growth today, data engineering is becoming a more popular skill. Data engineers are tasked with designing a system to unify multiple sources of business data in a meaningful and accessible way. The typical role of data engineers includes:

  • Acquiring big data sets from different data warehouses
  • Cleaning those big data sets and finding any errors
  • Removing any form of duplications that may occur
  • Converting the cleaned data into a readable format
  • Interpreting data to provide reliable information for better decisions

• What are the benefits of taking this Data Engineering course?

  This comprehensive data engineering course from Purdue University Online and Simplilearn is designed to provide an introduction to data, a detailed view of the domain and equip you with the skills and techniques to succeed in it. Our course integrates data warehousing, data lakes, and data engineering pipelines to create a comprehensive and scalable data architecture. 

  Some of the benefits of this course include:

  • Joint certificate from Purdue University Online and Simplilearn
  • Courses aligned with Microsoft, AWS, and Snowflake certifications
  • Eligibility for Purdue's Alumni Association Membership
  • Live sessions on the latest AI trends, like generative AI, prompt engineering and explainable AI

• Who are the instructors, and how are they selected?

  Instructors for this data engineering course are industry professionals with extensive experience in the field. They are selected based on their expertise, teaching ability, track record and credentials in the field. The selection process includes rigorous vetting to ensure they can provide high-quality education and real-world insights for the best learning experience.

• How do I enroll in the Data Engineering Course?

  The admission process for data engineering course consists of three simple steps:

  • First, candidates must submit an application detailing their motivation for the course. 
  • Next, an admission panel will review the applications and shortlist candidates based on their submissions. 
  • Finally, selected candidates can begin learning within 1-2 weeks. 

  Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.

• What is the average salary of a Data Engineer?

  Today, small and large companies depend on data to help answer important business questions. Data engineering plays a crucial role in supporting this process, making it possible for others to inspect the data available reliably making them important assets to organizations, earning lucrative salaries worldwide. Here are some average yearly estimates:

  • India: INR 10.5 Lakhs
  • US: USD 131,713
  • Canada: CAD 98,699
  • UK: GBP 52,142
  • Australia:AUD 118,000

• What will be the career path after completing the Data Engineering Course?

  Designing and building data applications is very well regarded in the industry. While becoming a data engineer would be the most obvious route after completing this course, there are several other career paths you could choose:

  • Big Data Engineer: Work with big data technologies like Hadoop and Kafka to manage data processing tasks.
  • Data Architect: Design and manage an organization's data architecture, ensuring integrity and security.
  • Data Analyst: Effectively analyze and interpret complicated data sets to make informed decisions.
  • Business Intelligence Developer: Create and manage BI solutions using dashboards and reports.

• Do Data Engineers require prior coding experience?

  Yes, data engineers are expected to have basic programming skills in Java, Python, R or any other language.

• Can I apply for this data engineering course with no technical background?

  Yes, you can join this data engineering course even with no technical background. However, it's recommended that you have a basic understanding of object-oriented programming languages and at least two years of relevant work experience.

• Which are the top industries suitable for Data Engineering professionals?

  Organizations around the world are looking for ways to leverage data to enhance services, making data engineers a sought-after asset. That being said, some of the more popular industries for data engineers include:

  • Medicine and healthcare
  • Banking
  • Information technology
  • Education
  • Retail
  • Ecommerce

• What is the refund policy for this Data Engineering Course?

  To learn more, please read our refund policy.

• Are there any other online courses Simplilearn offers under Data Science?

  Absolutely! Simplilearn offers plenty of options to help you upskill in Data Science. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the Data Science field.
  
  Similar programs that we offer under Data Science:

  • Data Science Program from Purdue
  • Post Graduation in Data Science
  • Data Analyst Course
  • Data Analytics Course
  • Data Analytics Course in India
  • Free Excel Course Online

• Will missing a live class affect my ability to complete the course?

  No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

• Will I become alumni of Purdue University after completion of the Data Engineering course?

  After completing this program, you will be eligible for the Purdue University Alumni Association membership, giving you access to resources and networking opportunities even after earning your certificate.

• What is covered under the 24/7 Support promise?

  We offer 24/7 support through chat for any urgent issues. For other queries, we have a dedicated team that offers email assistance and on-request callbacks.

• Does Simplilearn have corporate training solutions?

  Yes, Simplilearn for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths. We also offer a learning library with unlimited live and interactive solutions - Simplilearn Learning Hub+, which is accessible to your entire workforce. Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.

• Are Simplilearn’s courses eligible for reimbursement by my employer?

  Yes, Simplilearn’s Professional Certificate Program in Data Engineering, offered in collaboration with Purdue University, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Purdue University also accepts tuition vouchers, which can streamline reimbursement.
  
  To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.