Brief Introduction
Launch your new career in Data Engineering. Master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark with hands-on job-ready skills.Course Summary
This IBM Data Engineer Professional Certificate course focuses on the skills required to design, build and maintain data processing systems. It covers various technologies and tools such as Hadoop, Spark, SQL, NoSQL, Data Warehousing, and Data Lakes.Key Learning Points
- Learn the fundamental concepts of data engineering and the tools used in the field
- Build and maintain data processing systems using various technologies
- Gain hands-on experience through various labs and projects
Job Positions & Salaries of people who have taken this course might have
- Data Engineer
- USA: $90,000 - $150,000
- India: ₹5,00,000 - ₹20,00,000
- Spain: €30,000 - €60,000
- Big Data Engineer
- USA: $100,000 - $160,000
- India: ₹7,00,000 - ₹25,00,000
- Spain: €40,000 - €70,000
- Data Analyst
- USA: $50,000 - $100,000
- India: ₹3,00,000 - ₹15,00,000
- Spain: €20,000 - €45,000
Related Topics for further study
Learning Outcomes
- Design and build scalable data processing systems
- Implement data security and privacy measures
- Deploy and maintain data processing systems
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming
- Familiarity with SQL
Course Difficulty Level
IntermediateCourse Format
- Online self-paced
- Labs and projects
- Video lectures
Similar Courses
- Data Engineering with Google Cloud
- Data Engineering Foundations
- Big Data Engineering
Related Education Paths
- IBM Applied AI Professional Certificate
- IBM AI Engineering Professional Certificate
- IBM Cybersecurity Analyst Professional Certificate
Related Books
Description
This Professional Certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position. Throughout the self-paced online courses, you will immerse yourself in the role of a data engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data.
By the end of this Professional Certificate, you will be able to explain and perform the key tasks required in a data engineering role. You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use NoSQL databases and unstructured data. You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark. You will gain experience with creating Data Warehouses and utilize Business Intelligence tools to analyze and extract insights.
Each course includes numerous hands-on labs & projects to apply the concepts and skills you learn. The program will culminate in a Capstone Project where you will bring together all of these skills to develop and implement an entire data platform with various data repositories and pipelines to address a real-world inspired data analytics problem.
This program does not require any prior data engineering, or programming experience.
Summary of User Reviews
The IBM Data Engineer Professional Certificate is highly recommended by users for its comprehensive coverage of data engineering concepts and technologies. The course has received positive reviews from students who liked the practical approach and hands-on experience it offers.Key Aspect Users Liked About This Course
practical approach and hands-on experiencePros from User Reviews
- Comprehensive coverage of data engineering concepts and technologies
- Hands-on experience with real-world data engineering tools and technologies
- Flexible schedule and self-paced learning
- Access to IBM professionals and experts
- Valuable credential for career advancement
Cons from User Reviews
- Some users found the course content to be too basic
- The course is geared towards IBM technologies and tools
- Some users found the course to be too fast-paced
- The course requires a significant time commitment
- Some users found the course to be expensive
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