Self-Paced Data Engineer Bootcamp

There are no prerequisites for attending our Data Engineer Bootcamp. Prior knowledge of Linux and Basics of Python programming language will be beneficial but is not mandatory. 

The right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us!

The minimum recommended system requirement is to have a workstation or laptop with at least 8GB of RAM and an internet connection. 

No, nothing specific – you just need a web browser such as Google Chrome, Microsoft Edge or Firefox.  

Your bootcamp instructors are expert Data Engineers with years of experience working with Data Engineering technologies such as Python, NoSQL, Big Data, Hadoop, and more. 

Absolutely. Even if you have no prior understanding of data engineering, this data engineering certification will make you proficient in programming fundamentals, NoSQL, Relational Databases, Data Warehousing, Big Data, and the Hadoop ecosystem – in short, you will understand everything that a data engineering needs to know. 

Currently, our Data Engineer Bootcamp is offered as an on-demand self-paced program. Learners can dive deep into learning at their convenience and pace, mastering the skills needed to excel in the rapidly evolving field of data engineering.

Experts in the field of data engineering with extensive industry experience have created the on-demand course materials for our Data Science and Engineering program. You will learn fundamental concepts, practical aspects, and the best practices in Data Engineering in the bootcamp.  

You will need a workstation or laptop with Internet access, with at least 8GB of RAM. Apart from that, you will also need a web browser such as Google Chrome, Microsoft Edge, or Firefox. 

You have the option to pause the data training program for 14 days. Before rejoining, you would need to catch up with the Program by watching the recorded instructor-led sessions. You may opt for this option after discussing it with your Student Success Manager. 

You also have the option to defer a program, provided there is a valid reason offered to your Student Success Manager and is approved by the Program Director. Once you are back, you can discuss with your Student Success Manager to know which batch of the Data Bootcamp you can join.

Please contact your Learning Advisor for more information about this. 

You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy.

We're so confident that with this course, you'll be taking concrete steps toward a thriving career in tech that we offer a 100% Satisfaction Guarantee. Should you require additional clarification, please reach out to your Learning Advisor.

Yes, scholarships are available for students and veterans with grants that can vary up to 50% of the course fees to learn Data Engineering. 

To avail scholarships, please get in touch with us at support@knowledgehut.com. The team shall send the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts takes a decision on the Grant. The entire process could take about 7 to 15 days. 

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up to 20% to 30% on the cost of data bootcamp. For more details, please check out the upcoming schedules. 

Yes, installment options are available for payment of a fee for data engineer training online. To avail the installment option, please get in touch with us at support@knowledgehut.com. The team will explain how the installments work and provide timelines for your case. Typically, the number of installments varies from 2 to 3, but the full amount must be paid before you complete the course. 

Data refers to information that has been converted from a basic, unstructured format to something that can be processed and moved easily. 

A Data Engineer is someone who builds systems to collect, validate and prepare, and publish high-quality data. If you're a Data Engineer, you're primarily responsible for converting raw, unstructured data into a format which data scientists can further analyze and interpret. 

Data is knowledge. It is solid evidence, and by collecting data you can tell if a particular system is working or not. Without data, you cannot measure the effectiveness or impact of any process, strategy, or method. Data also helps you visualize existing relationships between several variables in a system

There are no eligibility criteria for this data bootcamp. The aim of this Data Engineer Course is to allow learners from diverse backgrounds to come, understand, and master Data Engineering if they wish. 

To break into a lucrative and rewarding career in data engineering, you need strong fundamentals in coding, database design, and cloud computing. You also need to have sound knowledge in data security, Big Data, and Machine Learning. A good data science course should cover most (if not all) of these topics. 

A Data Engineer is responsible for building systems that collect, process, and convert raw, unstructured data into useful information. Data scientists/analysts will then further analyze this information to glean insights and help stakeholders make better decisions. 

To become a data engineer, holding a degree in computer science or other related field will help you. Apart from a degree, learning about data engineering tools and technologies through a data engineer certification is also a good idea. 

You can become a Data Engineer by enrolling yourself for a data engineer bootcamp or certification. In case that's not an option for you, you can start building a certain set of skills that'll help you become a data engineer. This includes coding, databases (relational and non-relational), cloud computing, Big Data, and security. 

This Data Engineer bootcamp will make you proficient in several tools and technologies including Python, SQL, MongoDB, Hadoop, Apache Kafka, and AWS (in the context of Big Data). 

The biggest benefit of being a data engineer is that there will always be demand for such roles, because data is everywhere and ever-increasing. In addition, data engineer is one of the fastest growing job roles within the digital transformation space. The pay is really good as well, with the annual average salary for a data engineer being $112,000. The demand for data engineers isn't going anytime soon, which is why the demand for the best data engineering courses is on the rise. 

Absolutely! If you take Dice Insights' Tech Job Report for 2020, for instance, the Data Engineer job role alone has seen a 50% year-on-year growth. It's also among the top three jobs on the rise in the United States within digital transformation, as per a LinkedIn report. No wonder data courses online are very popular.  

The most popular data frameworks that you'll learn in this data engineer certification include Apache Kafka, Spark, and Hadoop. You will also learn about Big Data in AWS and Data Warehousing fundamentals.   

The most common challenge faced by aspiring data engineers is the lack of strong fundamentals in coding, cloud computing, and database knowledge (both relational and non-relational). That's why a data certification is really sought-after by learners today, as they provide learners with strong fundamentals in all these areas and much more. 

With the sheer number of data training courses available online today, anybody can become a data engineer if they want to. You just need to be willing to learn, have an analytical bent of mind, and comfortable with coding cloud technologies, and working with databases. 

Anybody who desires a lucrative career in data engineering can take this data engineer bootcamp. Typical candidate profiles include the following: 

• IT professionals in traditional ETL domain
• IT professionals in database domain
• Software engineers or developers
• Business Analysts
• Data Professionals interested in Data Engineering
• Banking and Finance Professionals
• Marketing Professionals
• Students interested in a career in Data Engineering

Some of the top-paying organizations looking for data engineers are as follows: 

• Oracle 
  
• Walmart 
  
• Nvidia 
  
• Airbnb 
  
• Apple 
  
• PayPal 
  
• Lyft 
  
• Cisco 
  
• Twitter 
  
• Snowflake 

As you can see, these are top organizations, which is why aspiring data engineers are looking for the best data engineering bootcamp to help them get started on their learning journey. 

The best way to command a higher salary as a Data Engineer is by constantly developing your skills. The field of data analytics and engineering is constantly changing, which means that you must always stay updated on the latest developments in coding, cloud computing, and databases (SQL, NoSQL). If you don't know where to start, enrolling yourself in a top-rated Data Engineer course is a good idea. 

As per Glassdoor (August 2022), the average annual salary for a data engineer in the United States is $112,493. This is one of the reasons why certifications for data engineer are in high demand. 

On completion of this self-paced Data Engineer bootcamp, you can confidently apply for any of the following roles: 

• Data Engineer 
  
• Data Architect 
  
• Big Data Engineer 
  
• Database Developer 
  
• Data Security Administrator  
  

Data Engineers are primarily responsible for collecting, managing, and converting unstructured data into a format that's both useful and accessible. Apart from this, they also maintain database pipeline architectures and create new methods/tools for data validation and analysis. If you're interested in learning to do these things, any good data engineer certification will be able to cover all these aspects and much more. 

This Data Engineer bootcamp will feature a capstone project, where you will put into practice all that you've learnt throughout the course. You'll do this through real-world problems and scenarios, similar to the ones actual data engineers work on. 

In order for you to become a data engineer in a product-based company, you must demonstrate two things - strong data engineering fundamentals and an updated project portfolio. A good data engineer course will help you with both these aspects. You'll gain strong foundational knowledge in coding, cloud computing, and databases, and also work on several real-world projects which you can later show as a part of your portfolio. 

A high-level learning path for data engineers looks like this: 

1. Programming Fundamentals 
   
2. Relational Databases and SQL 
   
3. Data Warehousing 
   
4. Big Data and Hadoop Ecosystem 
   
5. Big Data on Cloud 
   
6. Big Data Security 

Most well-designed data courses follow this learning path, which ensures that you have a well-rounded and comprehensive experience in terms of grasping fundamentals. 

This Data Engineer online course is priced at $3,999, and you can access it for a discounted price of $2,799 for a limited period. However, please check our bootcamp schedules for an exact idea of how much it'll cost you. 

Some of the most popular applications of data science include: 

• Fraud and Risk Detection 
  
• Healthcare 
  
• Targeted Advertising 
  
• Website Recommendations 
  
• Advanced Image Recognition 
  
• Speech Recognition 
  
• Augmented Reality      

If you’re looking for the best courses for data engineering, it’s a good idea to check if the curriculum covers the above important topics.

To data engineer roles in top companies, you need to demonstrate solid skills in data modeling, coding, Python, and NoSQL. An updated project portfolio containing real-world project experience will build your case as well. This is also why our Data Engineer Bootcamp is extremely popular amongst out learners - it features a separate module for career assistance. This module includes mock interviews, resume building, and building a strong LinkedIn and GitHub profile.