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The Henry Harvin® Data Engineer Course provides students with a comprehensive understanding of big data aspects of Data Analytics and Data Science, with the technological challenges of data acquisition, curation, and management. It covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, the AWS cloud platform, Etc. You’ll learn how to work with data architecture, data processing, and data systems. By the end, you’ll be able to build a unique data infrastructure, manage data pipelines and data processing, and maintain data systems.
This unique 10-in-1 learning experience begins with training and concludes with career support for job seekers and aspiring business owners
Become a part of the Elite Data Science & Analytics Academy of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide.
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It is a trajectory that offers complete growth of an individual incorporating the two most significant focus areas of contemporary learning:The Competency Development and The Career Development .
Competency development is about building capabilities that not only meet current job demands but also anticipates the future needs. It includes:
1: Two-Way Live Training Two-way Live Online Interactive Classroom Sessions
2: Projects Facility to undergo various projects along with the course.
3: Convocation Hybrid convocations are conducted both online and offline, offering networking opportunities, practical exposure, and on-stage felicitation to celebrate your achievements.
4: Masterclass Access to 52+ Masterclass Sessions for essential soft skill development
5: Membership Get Gold Membership of Henry Harvin®
6: E-Learning Access Free access to the E-learning Portal and future updates. Get access to PPTs, Projects, Quizzes, self-paced Video-based learning, a question bank, a library, practice tests, final assessment, a forum, and doubt sessions.
Career Development lays focus on the essentials for acquiring a good career or diving into a highly competent one. It includes:
7: Hallmark Certification + License Distinguish your profile with global credentials and showcase expertise with our Hallmark Completion certificate with Professional License
8: Internship Support Get Internship Support with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage & 100X Suite.
9: Entrepreneurship Mentorship Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels
10: Placement Support Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting
By the end of the Data Engineering certification course, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.
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System Design
Data Science
Data Analysis
Python Programming
NoSQL and Big Data
Relational Database Management Systems (RDBMS)
Our course is exhaustive and this Certification is proof that you have taken a giant leap in mastering the domain
The practical knowledge and actionable skillset you've gained working on projects, simulations, case studies will set you ahead of the competition
Talk about it on LinkedIn, WhatsApp, Instagram, Facebook, Twitter, boost your resume or frame it - tell your friends and colleagues about it.
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We are dedicated to supporting our students throughout their career journey. Join us, and let's embark on a journey towards a successful and fulfilling career together.
Exclusive access to our dedicated job portal and apply for jobs. More than 2100+ hiring partners’ including top start–ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Share what kind of job you are looking for and we will provide you with verified job openings that match your requirement.
In our digital world, the demand for data engineers is growing rapidly. Every business, big or small, is now flooded with data. This surge of information brings a crucial need: managing and making sense of this data. Data engineers step in here, becoming vital players in the tech-driven business landscape.
While it offers immense opportunities for innovation and growth, it comes with its fair share of challenges. In my opinion, the most difficult part about data engineering lies in navigating the complexities associated with data integration, quality assurance, and scalability.
A data engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. These software engineers are typically responsible for building data pipelines to bring together information from different source systems.
Four to five years. Most data engineers get their first entry-level job after earning their bachelor's degree, but it is also possible to become a data engineer following a transition from another data-related role.
DevOps covers a broader spectrum, spanning coding, infrastructure management, integration, deployment, and sometimes security. It's more about understanding the entire software delivery pipeline. Data engineering, while deep, focuses more on the efficient collection, storage, and processing of data.
The future of data engineering promises exciting opportunities and challenges. As the field continues to evolve, data engineers will play a crucial role in shaping how organizations collect, process, and leverage data.
There is no doubt that AI will reshape the workflows in data analysis and data engineering. Repetitive types of tasks or even analyses will in time be performed by generative AI.
Data engineering is a promising career choice in 2024, with high demand and lucrative salary prospects. To become a data engineer, strong programming and database management skills, as well as knowledge of data warehousing and visualization, are essential.
Data Engineers work behind the scenes to create the databases that house a company’s data. They build pipelines that transform raw data into formats that are useful for Data Scientists, and they create the infrastructure that automates model building for machine learning and analytics.
It’s helpful for Data Engineers to know Python 3, SQL, Git, MongoDB, and more to get started in the field. This career path will help you build all of these important skills.
Henry Harvin®️ ranks amongst the Top 500 Global Edtech Companies with 5,01,289+ Alumni, 900+ B2B Clients, 500+ Award Winning Trainers, and 1200+ Courses.
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Module 1: Python
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