Question 1

Who can enroll in the Data Engineering course?

Accepted Answer

Our Data Engineering course is for students and early career professionals irrespective of their academic backgrounds.

Question 2

What is the time commitment expected for the program?

Accepted Answer

The time commitment expected for the course is between a minimum of 12-14 weeks.

Question 3

Is there any minimum educational qualification required to take this program?

Accepted Answer

The minimum qualification required for the Data Engineering certification is graduation with any background.

Question 4

What are the prerequisites for this Data Engineering certification?

Accepted Answer

The only prerequisite is that you should have the passion to learn. You can enroll in this Data Engineering online course even if you don't have any coding knowledge. Our course helps you learn Data Engineering from scratch.

Question 5

I am not from a technical background, can I join this Data Engineering online course?

Accepted Answer

Yes! You definitely can join. No prior coding knowledge or other technical skills are needed to join our Data Engineering online course.

Question 6

I am from BA, B.com, Bsc. etc. background, can I join this course?

Accepted Answer

Yes! You need no prior coding or technical skills to join this best Data Engineering certification course.

Question 7

Will this course help me learn Data Engineering from scratch?

Accepted Answer

Yes, this Data Engineering online course is fresher-friendly and an excellent fast-track program for students and working professionals looking to build their data engineering careers from scratch.

Question 8

Why should I learn Data Engineering from Board Infinity?

Accepted Answer

This Data Engineering course gets you a headstart in Data Engineering with SQL, Python, Essential DSA, Big Data with Hadoop, Big Data with Spark, and more. With this course, work on multiple real-life industry projects and gain practical exposure to the tools learned and skills acquired, under the guidance of Industry Experts. Earn a BI Certificate, get Placements Assistance, & get your Dream Job!

Question 9

What Important tools, concepts, and skills will I learn in this data analyst online training?

Accepted Answer

This Data Engineering online training will unfold theoretical knowledge on what is Data Engineering and its scope. During this course, you'll learn how to analyze and visualize data. As part of this program, you will also learn Python Programming, Introduction to SQL, Big Data with Hadoop and Spark, Cloud Engineering - Amazon, Web Services (AWS), Orchestration Tool - Airflow Throughout the Data Engineering modules, you will be given hands-on learning through a series of tasks and assignments that will allow you to practice and learn tools like Python, SQL, Big Data, Hadoop, Apache Maven, Spark.

Question 10

How will my performance be evaluated during the Data Engineering certification course ?

Accepted Answer

Our course follows a continuous evaluation method. Learners are evaluated based on case studies, quizzes, assignments, tests, project reports, etc. and the performance is tracked through a progress board.

Question 11

Is any certificate granted at the end of this Data Engineering course?

Accepted Answer

On successful completion of this Data Engineering online course, you will receive a Data Engineering certification from Board Infinity.

Question 12

What is the total duration of this course?

Accepted Answer

The total duration of this Data Engineering online training is 3 months.

Question 13

Will there be any practical projects in this Data Engineering certification?

Accepted Answer

With this online Data Engineering certification course, you will work on Data Engineering real-world projects in order to learn how your Data Engineering skills can be applied.

Question 14

What is the role of the Instructors?

Accepted Answer

Our instructors will guide you throughout your Data Engineering journey, helping you learn the desired skills and prepare you for job interviews to excel in your career.

Question 15

What are the profiles of the Instructors?

Accepted Answer

Our instructors are highly-qualified, top-industry experts working with Amazon, Microsoft, Deloitte, and other big organizations. All of our instructors have years of experience in training and working in the Data Engineering domain. They go through a selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train our learners.

Question 16

Would the Data Engineering course content be available to me after completion of the course?

Accepted Answer

Upon enrolling in our Data Engineering course with placement, you will have lifetime access to our course content and recorded classes. Since we believe that learning never ends, you can always access our resources even after the completion of the course.

Question 17

What If I miss a live session?

Accepted Answer

If you miss any sessions, you can watch the recorded sessions to cover up for them.

Question 18

I am not able to access the Data Engineering online course, who can help me?

Accepted Answer

You have to raise a ticket on help.boardinfinity.com. You will be contacted by our support team and provided with the best solution as soon as possible.

Question 19

How will I receive the course material after joining?

Accepted Answer

When a student enrolls in this course, they receive a dedicated LMS portal through which they can access recordings of live sessions as well as other course materials such as PDFs and ebooks.

Question 20

What type of career support should I expect from this program?

Accepted Answer

Learners will get connected with top industry-expert coaches who will train them in the skills needed to become a certified Data Engineering. Upon completion of this course, you will also receive placement support and training to find suitable jobs.

Question 21

How will my doubts be addressed in an online program?

Accepted Answer

For clarification of conceptual doubts related to the Data Engineering course, we hold regular Q&A sessions with faculty. Also, you can post your questions in our discussion forum, and your peers/faculty/teaching assistants will answer your questions within a day.

Question 22

I am a working professional. What if I don't get the time to watch the video?

Accepted Answer

A learner has access to the recorded videos of the live sessions through a dedicated LMS portal once he/she has enrolled in our Data Engineering online course. One can watch the recordings and learn at their convenience.

Question 23

What type of jobs will I be suited for after completing this Data Engineering course with placement?

Accepted Answer

Data architect, Machine Learning Engineers, Solution architectetc. are some of the roles you can take on after completion of this course. All of these job roles are highly valued across organizations and are high-paying career options you can explore. This course is a great way to develop strong Data Engineering fundamentals and skill sets to pursue high-paying job roles.

Question 24

What are the different modes of payment available?

Accepted Answer

Zero Cost EMI facility, Net Banking, Debit Card, Credit Card, Cheque, Paypal, Visa, and Mastercard are the different payment methods accepted by us. Please contact our academic counselors for more details.

Question 25

What is the refund policy for this course?

Accepted Answer

Upon confirmation of admission, the Data Engineering course fee is not refundable. In deserving cases, we may give some credits that can be used within our portal at our discretion. In case of any difficulty or feedback, please raise a ticket or write to our support team. In most cases, we have gone to extraordinary lengths to support our learners and incorporate their feedback. Any and all payments made in advance for the course shall be non-refundable under all circumstances.

Question 26

What is Data Engineering?

Accepted Answer

Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale. This is a broad field that applies in almost every industry. Enterprises can collect large amounts of data and need the right people and technology to ensure that the data remains highly usable when it reaches the data scientists and analysts.

Question 27

Who is a Data Engineer?

Accepted Answer

Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their ultimate goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.

Question 28

Is Data Engineering a good career?

Accepted Answer

Data Engineering is a popular occupation that offers above-average salaries and relatively stable employment. Glassdoor puts the average salary for a data engineer at $115,176, but in the US the Bureau of Labor Statistics (BLS) says the sector will grow 8% between 2020 and 2030, creating 13,900 new jobs annually.

Question 29

Is Data Engineering easy to learn?

Accepted Answer

We offer the best Data Engineering certification that is beginner-friendly, well-structured, and taught by the best coaches to make it seem easy to learn. All you need is a passion to learn Data Engineering.

Question 30

What are the various job roles of Data Engineering?

Accepted Answer

Big Data Engineer, Business Intelligence Engineer, Machine Learning Engineer, Computer Vision Engineer, Data Architect etc. are some of the roles you can take on after completion of this course. All of these job roles are highly valued across organizations and are high-paying career options you can explore. This course is a great way to develop strong Data Engineering fundamentals and skill sets to pursue high-paying job roles.

Question 31

What major skills you need to become a Data Engineer?

Accepted Answer

Some of the technical skills required by Data Engineer are - \- Coding \- SQL \- NoSQL \- Python \- Data warehousing \- Knowledge of operating systems \- Database systems \- Data analysis \- Amazon Web Services (AWS) \- Critical thinking skills \- Basic understanding of machine learning \- Communication skills However, data scientists also need some soft skills such as critical thinking, effective communication, intellectual curiosity, and proactive problem-solving.

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Python Programming

SQL Programming

Big Data Hadoop with Spark

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