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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

Professional Certificate in Data Engineering is a 6-month programme. This programme is held only online on the platform of Emeritus, and the certification provider is MIT xPRO. These days as businesses grow, the data also keeps increasing, and hence the requirement of a data engineer also increases. Hence this MIT xPRO professional certificate in data engineering was launched for making the participants job ready so that they can put the data to use properly.

The Professional Certificate in Data Engineering training is for novice or interns or even experienced professionals. This course also allows payment options that may be bent according to the need of the individuals that start at $51 USD only per month. A verified digital certificate is dropped off through their email as the qualification for this programme is 75% completed. Emeritus also introduces eligible participants to hiring organisations that can provide potential jobs in the field of data engineering.

The Highlights

6 months course
Fully online programme
Full-time course
15-20 hours per week
Esteemed faculty
Certificate of completion

Programme Offerings

24 Weeks Programme
Online Course
quizzes
assignments
GitHub portfolio
Resume Writing
completion certificate
Easy Financing Options
Career Guidance
digital certificate

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	MIT Cambridge

Professional Certificate in Data Engineering Fee Structure

Description	Amount in USD
Programme Fee	US$ 7,800

Eligibility Criteria

Educational Qualification

The minimum qualification is a completed bachelor’s degree, and a programming language background is preferable.

Certification Qualifying Details

Earn a Professional Certificate in Data Engineering certificate by MIT xPRO, and Emeritus is when 75% of the course is visited, and learnt by the candidates. Otherwise, they will be stated as failed.

What you will learn

Database knowledge

With the Professional Certificate in Data Engineering certification syllabus, the candidates will learn:

Candidates can learn coding with Python
They can learn the use of SQL in creating databases
The participants can analyze tons of data pieces with databases in Python
They can understand the working of networks like servers, security, and IP’s.
Management of big data along with workflow management and data warehousing can be learnt.
The aspirants will learn to use data engineering tools for managing data correctly.
They will also explore concepts of machine learning, deep neural networks, deep reinforcement learning, and artificial intelligence.

Who it is for

This course is ideal for the ones below:

Recent STEM graduates or interns who want to start a new career in data engineering.
People who have just started as software engineers or technology professionals wanting to get trained in the latest tools of data engineering.
The mid-career professionals who change their career to data engineering from the fields like information technology, supply chain, project management, or finance.

Admission Details

Here is the Professional Certificate in Data Engineering classes admission process:

Step 1: Visit the official site: https://executive-ed.xpro.mit.edu/professional-certificate-data-engineering.

Step 2: Scroll, and click the button ‘Apply Now’ to get into the procedure of admission.

Step 3: Then using personal info, the candidate can register via Emeritus.

Step 4: After personal information, filling in the professional ones will take a step forward in the application process.

Step 5: Later when the fee is deposited, all the participants shall be deemed enrolled.

Application Details

While entering Emeritus, some details are required for the application form. These details include an about me section where only personal questions like address, name, nationality, country, state, gender, and phone number. Next, up there will be a section for professional details with the information required on the job title, company name, years of experience, and remuneration.