Data Engineer Bootcamp
Optimize and Analyze Data Like A Pro
Businesses need to manage the data they generate to meet business goals successfully. The huge quantum of unstructured data needs to be cleaned, structured, and maintained. This is where Data Engineers step in and help organizations leverage data-driven insights to optimize business performance with their expertise in Big Data technologies.
KnowledgeHut’s Data Engineer Bootcamp will make you an expert in dealing with raw data by making you proficient in a range of data engineering topics. These include Data warehousing, Linux, Python, SQL, Hadoop, MongoDB, Big Data processing, Big Data security, AWS and more. You’ll also become industry ready by learning how to design and create databases, capture and analyze data, and prepare data models. By the end of this Data Engineer Certification, you’ll be able to handle complex business problems in the Data Engineering space.
Bootcamp Highlights
-
289 Hours of E-Learning Material
-
Immersive Learning with 230+ Hands-on Exercises
-
12+ Real-World Case Studies
-
Create a Job-Ready Portfolio with 10+ Capstone Projects
Technologies You Will Master
Take one step ahead towards the most in-demand Data Engineering jobs
In this digital economy, businesses can successfully overcome competition and market forces only if they have the right form of data. How else will they make future predictions and adjust business practices to reflect market trends? No wonder the demand for data engineers is so steep, with the average salary offered being $112,493 per year.
For as long as there’s data to process, organizations around the world will always need data engineers to help them make sense of it all. Data Engineers rank at #6 in LinkedIn’s U.S. Jobs on the Rise Report for 2021. As per Dice Insight’s 2020 Tech Job Report, Data Engineering is also one of the fastest-growing jobs in the tech space, recording a 50% year-on-year job growth! Data engineering is an-ever evolving field, and this data engineer course will help you gain solid knowledge in important topics such as Big Data, Databases, and more. You will be able to master tools for data analysis and validation, as well as maintain data infrastructures and pipelines.

Courses you might be interested in
-
0 Lessons
-
0 Lessons
-
0 Lessons