The Ultimate Guide to IBM Data Engineering Professional Certificate
Are you looking for a career in data engineering? Do you want to develop the skills and knowledge required to work with big data and manage data pipelines effectively? The IBM Data Engineering Professional Certificate might be the right choice for you.
This certificate program is designed to provide learners with a comprehensive understanding of data engineering, including how to design and build data processing systems, manage data pipelines, and work with big data technologies such as Apache Hadoop, Apache Spark, and IBM Cloud Object Storage.
Kickstart Your Career in Data Engineering with IBM’s Professional Certificate
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What is IBM Data Engineering Professional Certificate?
The IBM Data Engineering Professional Certificate is an ideal program for anyone who wants to develop the skills, tools, and portfolio needed for an entry-level data engineer position. Through a series of self-paced online courses, learners will immerse themselves in the role of a data engineer and acquire the essential skills needed to work with a range of tools and databases to design, deploy, and manage structured and unstructured data.
By completing this Professional Certificate, learners will be able to explain and perform the key tasks required in a data engineering role. They will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. They will work with Relational Databases (RDBMS) and query data using SQL statements. They will use NoSQL databases and unstructured data. They will also be introduced to Big Data and work with Big Data engines like Hadoop and Spark. Additionally, they will gain experience with creating Data Warehouses and utilizing Business Intelligence tools to analyze and extract insights.
What makes this program unique is that it does not require any prior data engineering or programming experience. As such, it is accessible to learners who are new to the field or those who want to enhance their existing skills. Additionally, learners who complete this program can earn up to 12 college credits, as the program is ACE® recommended.
Overall, the IBM Data Engineering Professional Certificate is an excellent program for anyone who wants to pursue a career in data engineering. By completing this program, learners will gain the skills and knowledge needed to work in this rapidly growing field and be well-positioned to take advantage of job opportunities in the future.
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What Will You Learn in the Professional Certificate Program?
Throughout the IBM Data Engineering Professional Certificate, learners will have the opportunity to gain practical experience with a wide range of tools and technologies. They will complete hands-on labs and projects that will enable them to apply the concepts they learn in a practical context.
One of the most exciting parts of this program is the project section. Through various projects, learners will gain practical experience with Python, SQL, relational databases, NoSQL databases, Apache Spark, building data pipelines, managing databases, and working with data warehouses. The following are some of the projects learners can expect to work on:
- Design a relational database to help a coffee franchise improve operations: In this project, learners will design a database to help a coffee franchise improve its operations. They will apply concepts like data normalization, indexing, and query optimization to ensure that the database is efficient and effective.
- Use SQL to query census, crime, and school demographic data sets: In this project, learners will use SQL to query large data sets that contain demographic data. They will use advanced SQL techniques like subqueries, joins, and window functions to extract meaningful insights from the data.
- Write a Bash shell script on Linux that backups up changed files: In this project, learners will create a Bash shell script on Linux that automatically backups up changed files. They will learn how to write scripts that automate routine tasks and increase efficiency.
- Set up, test, and optimize a data platform that contains MySQL, PostgreSQL, and IBM Db2 databases: In this project, learners will set up a data platform that contains multiple databases. They will learn how to test and optimize the platform to ensure that it meets performance and scalability requirements.
- Analyze road traffic data to perform ETL and create a pipeline using Airflow and Kafka: In this project, learners will work with road traffic data to perform ETL and create a pipeline using Airflow and Kafka. They will learn how to use these tools to automate data processing and ensure that data is available in real time.
- Design and implement a data warehouse for a solid-waste management company: In this project, learners will design and implement a data warehouse for a solid-waste management company. They will learn how to model data to support complex queries and how to optimize performance.
- Move, query, and analyze data in MongoDB, Cassandra, and Cloudant NoSQL databases: In this project, learners will work with NoSQL databases like MongoDB, Cassandra, and Cloudant. They will learn how to move data between databases, query the data, and analyze it to extract insights.
- Train a machine learning model by creating an Apache Spark application: In this project, learners will create an Apache Spark application to train a machine learning model. They will learn how to work with large data sets and how to use machine learning algorithms to extract insights.
- Design, deploy, and manage an end-to-end data engineering platform: In this project, learners will design, deploy, and manage an end-to-end data engineering platform. They will learn how to select the right tools and technologies, how to set up the platform, and how to manage it to ensure that it meets performance and scalability requirements.
Overall, the project section of the IBM Data Engineering Professional Certificate is an excellent opportunity for learners to gain practical experience with a wide range of tools and technologies. By completing these projects, learners will develop the skills and confidence needed to work as data engineers in a real-world context.
In the IBM Data Engineering Professional Certificate program, learners will gain a range of skills and knowledge related to data engineering. Here is a breakdown of what you can expect to learn:
- Relational databases
- SQL queries
- NoSQL and Big Data
- ETL and Data Pipelines
- Data Warehouses and BI
Overall, the IBM Data Engineering Professional Certificate program provides a comprehensive set of skills and knowledge that are essential for working in a data engineering role. By completing this program, learners will be well-prepared to take on job opportunities in this high-demand field.
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Syllabus in IBM Data Engineering Professional Certificate:
The IBM Data Engineering Professional Certificate consists of 13 courses, which are:
- Introduction to Data Engineering
- Python for Data Science, AI & Development
- Python Project for Data Engineering
- Introduction to Relational Databases (RDBMS)
- Databases and SQL for Data Science with Python
- Hands-on Introduction to Linux Commands and Shell Scripting
- Relational Database Administration (DBA)
- ETL and Data Pipelines with Shell, Airflow, and Kafka
- Getting Started with Data Warehousing and BI Analytics
- Introduction to NoSQL Databases
- Introduction to Big Data with Spark and Hadoop
- Data Engineering and Machine Learning using Spark
- Data Engineering Capstone Project
These 13 courses are the foundation for IBM Data Engineering Professional Certificate
Introduction to Data Engineering:
This course provides a broad overview of data engineering, its role in modern organizations, and the skills required to be a data engineer. You will learn about the various tools and technologies used by data engineers, including databases, ETL pipelines, and data warehousing.
Python for Data Science, AI & Development:
In this course, you will learn the fundamentals of the Python programming language and how it can be used for data science and AI development. You will explore topics such as data types, control structures, functions, and object-oriented programming.
Python Project for Data Engineering:
This course is a hands-on project-based approach to applying Python to data engineering. You will work on a project that involves cleaning, transforming, and loading data into a database, and then creating an ETL pipeline.
Introduction to Relational Databases (RDBMS):
In this course, you will learn the basics of relational databases, including data modeling, normalization, and relationships. You will also learn how to use SQL to create and manipulate data in a database.
Databases and SQL for Data Science with Python:
This course focuses on using Python to work with databases and SQL. You will learn how to connect to a database, retrieve data, and manipulate it using SQL commands.
Hands-on Introduction to Linux Commands and Shell Scripting:
In this course, you will learn how to use Linux commands and shell scripting to manage data and perform tasks in a data engineering environment. You will learn how to navigate the Linux file system, create and edit files, and use basic shell commands.
Relational Database Administration (DBA):
In this course, you will learn the skills required to manage and administer relational databases. You will learn how to optimize database performance, secure data, and manage users and permissions.
ETL and Data Pipelines with Shell, Airflow and Kafka:
This course focuses on building ETL pipelines using Shell, Airflow, and Kafka. You will learn how to create data pipelines to move and transform data between systems and how to use these tools to schedule, monitor, and manage these pipelines.
Getting Started with Data Warehousing and BI Analytics:
In this course, you will learn about data warehousing and business intelligence (BI) analytics. You will learn how to design and implement a data warehouse and use BI tools to analyze and report on data.
Introduction to NoSQL Databases:
This course provides an introduction to NoSQL databases, including their benefits and trade-offs compared to relational databases. You will learn how to use and work with popular NoSQL databases such as MongoDB, Cassandra, and Cloudant.
Introduction to Big Data with Spark and Hadoop:
In this course, you will learn about big data technologies such as Hadoop and Spark. You will learn how to work with big data and how to use these tools to process, store, and analyze large amounts of data.
Data Engineering and Machine Learning using Spark:
In this course, you will learn how to use Spark to perform machine learning tasks in a data engineering context. You will learn how to create and train machine learning models and how to integrate these models into ETL pipelines.
Data Engineering Capstone Project:
This course is a hands-on project that brings together the skills and knowledge you have gained throughout the Professional Certificate. You will work on a project that involves designing, building, and implementing an end-to-end data engineering solution.
Each course covers different aspects of data engineering, and learners will have the opportunity to develop their skills and knowledge progressively throughout the program.
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Job Description for Data Engineer
Job Title: Data Engineer
Job Description: We are seeking a talented data engineer to join our team. The ideal candidate will have experience in designing and building data processing systems, managing data pipelines, and working with big data technologies such as Apache Hadoop and Apache Spark.
Responsibilities:
- Design and build data processing systems to manage large volumes of data
- Manage data pipelines to ensure timely and accurate delivery of data
- Work with big data technologies such as Apache Hadoop and Apache Spark
- Develop and maintain data architectures and data models
- Collaborate with data analysts and data scientists to provide high-quality data for analysis
- Monitor and optimize data processing systems to ensure maximum efficiency and performance
- Develop and maintain documentation for data processing systems and data models
Requirements:
- Bachelor's or master's degree in computer science, information technology, or a related field
- 2+ years of experience in data engineering
- Strong programming skills in Python and SQL
- Experience with big data technologies such as Apache Hadoop and Apache Spark
- Experience with data modeling and data architecture
- Strong problem-solving and analytical skills
- Strong communication and collaboration skills
If you have the skills and experience required for this position, we encourage you to apply. We offer a competitive salary and benefits packages, and we are committed to providing a supportive and inclusive work environment for our employees.
Benefits of being a Data engineer:
Competitive salary and benefits packages
Opportunity to work with cutting-edge technologies and techniques
Collaborative and supportive work environment
Opportunities for professional growth and development
Location: The location of the position is flexible and can be discussed during the application process.
About the IBM Data Engineering Professional Certificate:
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The IBM Data Engineering Professional Certificate is a comprehensive program that provides learners with the skills and knowledge required to work as data engineers. The program covers a range of topics, including data engineering foundations, big data fundamentals, Apache Spark for data engineering, data engineering with Hadoop and Spark, and building big data pipelines.
Learners who complete the program will have a strong understanding of data engineering principles and techniques, as well as hands-on experience working with big data technologies. They will also receive a certificate from IBM, which can be added to their resumes and LinkedIn profiles to showcase their skills and expertise.
In summary, the IBM Data Engineering Professional Certificate is an excellent choice for anyone looking to develop their skills and knowledge in data engineering. With a flexible online learning platform, a comprehensive curriculum, and a certificate from a reputable company, this program is an investment in your career that can pay dividends for years to come.
Here are some additional benefits of the IBM Data Engineering Professional Certificate:
High-demand career field: Data engineering is a rapidly growing field with high demand for skilled professionals. By completing this program, learners will be well-positioned to take advantage of job opportunities in this field.
Comprehensive curriculum: The program is designed to provide learners with a comprehensive understanding of data engineering, covering topics such as data processing systems, big data technologies, and data architecture. This means learners will gain the skills and knowledge they need to excel in a data engineering role.
Hands-on experience: The program includes hands-on projects that allow learners to apply what they have learned in a real-world context. This provides a valuable experience that can be applied in the workplace.
Flexible learning: The program is delivered through Coursera, which means learners can complete the program at their own pace and on their schedule. This is ideal for individuals who need to balance their studies with other commitments such as work or family.
Cost-effective: The program is offered at a low cost of $39 per month, which makes it an affordable option for individuals who want to pursue a career in data engineering.
In conclusion, the IBM Data Engineering Professional Certificate is a valuable program for anyone looking to start or advance their career in data engineering. With a comprehensive curriculum, hands-on experience, and a certificate from IBM, this program provides learners with the skills and knowledge they need to succeed in this high-demand field.
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Frequently Asked Questions (FAQ) about IBM Data Engineering Professional Certificate:
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes, you can enroll in a single course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate.
Is this course 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.
How long does it take to complete the Specialization?
The Professional Certificate requires the completion of 13 courses, including 10 full courses, 2 mini-courses, and a Capstone Project. If learning part-time (e.g. 1 module per week), it would take about 1 year to complete the entire certificate. If learning full-time (e.g. 1 module per day), the certificate can be completed in 3 to 4 months.
What background knowledge is necessary?
This Professional Certificate is open to anyone with any job and academic background. However, prerequisites include basic IT literacy, knowledge of IT infrastructure, and familiarity working with Windows, Linux, or MacOS. No prior computer programming experience is necessary, but it is an asset, as is high school math.
Do I need to take the courses in a specific order?
Yes, it is highly recommended to take the courses in the order they are listed, as they progressively build on concepts taught in previous courses.
What will I be able to do upon completing the Specialization?
By completing hands-on labs and projects throughout the program, you will develop practical skills to become job-ready for an entry-level career in Data Engineering.
Can I get college credit for taking the IBM Data Engineering Professional Certificate?
Yes. The program has secured a credit recommendation of 12 college credits from the American Council on Education (ACE), which is the industry standard for translating workplace learning to college credit.
How do you share your proof of completion with educational institutions for transferring credit?
Certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE credit recommendation. Once claimed, they will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform.
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IBM Data Engineering Professional Certificate Certificate COURSE