The big data course teaches aspiring data engineers how to scale ETL pipelines using Spark in the Azure cloud. According to the job market report published by WeCloudData, engineers with big data skills earn higher average salary.
The big data course teaches aspiring data engineers how to scale ETL pipelines using Spark in the Azure cloud. According to the job market report published by WeCloudData, engineers with big data skills earn a higher average salary. In this course, you will gain the most in-demand skills by
Whether you come from a traditional ETL/ELT background or try to switch careers to data engineering, this short course prepares you to gain practical big data skills, practice in-demand market tools, and stand out from the crowd.
This course can be taken as a part of WeCloudData’s Data Engineering Bootcamp. It teaches you how to use modern big data tools to scale the data processing pipelines for enterprises. It focuses on case-based learning and project building.
What you learn:
WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys
WeCloudData is a learning academy that focuses on providing the best quality data and AI training to our students and corporate clients. In order to achieve our vision, we not only created a data skills training school that is recognized as the best training school in the data and AI category but also created our consultancy and career services branches to support our students.
In the next 10 years, we want to influence millions of learners and bring positive changes to the future of work through our relentless efforts on delivering the best learning experience, innovation in technology, and creating the environment for work-integrated learning.
We are the best at what we do, and we are striving to create the standards to push the industry forward.
We Focus On Project-based Learning
Our curriculum design committee (made up of experienced data scientists from startups and tech firms) ensures that real-world project experiences are built into each course. We cover the most in-depth knowledge and relevant skills that are actually required by the job market. We want to help our learners develop the highly in-demand data skills and experience of both today and tomorrow.
We Believe In Technology Investment
WeCloudData is more than a training academy. We are a startup that leverages the most cutting-edge data and AI technology to power our learners' experiences. We know the industry's demands and trends very well, and that's why we are so confident in our teaching. We believe our ed-tech products will power the future of learning and work.
We Truly Care About Our Students
We understand the challenges of job hunting and career transformation, and we’re committed to helping each and every student gain the knowledge, skills, and experience that will help them get a job offer and launch a successful career.
Our Vision
WeCloudData believes that the future of work is going to be very different from what we’re used to today, whether it be the gig economy or the passion economy. That also requires a very different kind of training and learning experience.
This training would enable candidates to develop skills to handle requirement volatility and unpredictable challenges during product development in a traditional predictive or planned manner.
In this course, you'll use sophisticated data-visualization tools to understand data and share information with others. You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job.
Microsoft Power BI is the best data visualization and publishing tool (business intelligence - BI). To this tool we add the most effective and popular language: Python, in its Anaconda ecosystem.
This course will focus on job-oriented technical skills. Learning modelling techniques and how to populate these data models, using Extract, Transform and Load (ELT) Technologies.
Examine large data sets to uncover patterns, correlations and other useful business insights. With the increased use of smart devices, sensors, intelligent systems and other tools, the volume of data has become harder to manage.
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