Data Engineering Courses
Choose a course that suits your goals - from the basics to advanced skills in data engineering.
5.0
Rated based on 7 reviews.
76 Learners
Already enrolled
Gained skills:
Python Programming Database Normalization CRUD Operations SQL in Python Projects SQL Basics Intermediate SQL Data Handling Data Manipulation Data Modeling SQL Query Optimization Web Scraping with Python
Take a short quiz and get closer to your goals!
80,000
Students have already successfully completed the courses and are applying their skills in the workplace
92%
Users find our courses useful
Courses
Courses
Career paths
Advantages
Why Codefinity
Career opportunities
FAQs
Related topics
Reviews
Pricing
Top courses
Courses
Courses
Career paths
Advantages
Why Codefinity
Career opportunities
FAQs
Related topics
Reviews
Pricing
Top courses
Browse Data Engineering courses and projects
Choose a career pathComprehensive programs to master a career pathway
Codefinity advantages
AI-Assisted Learning
Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
Workspaces
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Learning tracks
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
Why Codefinity stands out
Video content
Downloadable materials
Esteemed certificates
Interactive learning environment
Error correction
AI assistant
Access to all content with one subscription
Codefinity
Video-based learning platforms
Codefinity
Video-based learning platforms
Video content
Downloadable materials
Esteemed certificates
Interactive learning environment
Error correction
AI assistant
Access to all content with one subscription
Career opportunitiesLearn about the most popular professions, average salaries, and companies actively seeking specialists in this field.
Data Engineer
Data Architect
Software Engineer
Database Developer
DevOps Engineer
$105k
$124k
$143k
Min
Average
Max
Annual sallary
(Average in the US)
Hiring companies
*Source: Glassdoor
Chosen by students of top schools
Including 30 out of top-30 U.S. colleges
Data Engineering Courses: Key Info and Questions
What is the Introduction to Data Engineering?
Data Engineering involves designing, building, and managing the systems and infrastructure that store, process, and analyze large data sets.
What are the Benefits of Our Data Engineering Courses?
Our courses provide basic information necessary for understanding Data Engineering concepts. This information includes different aspects of SQL, such as ACID, DQL, DCL, and DML.
What are the Career Opportunities After Completion of Data Engineering Courses?
Graduates can pursue roles such as Data Engineer and ETL Developer in various industries including tech, finance, and healthcare.
What are the Data Engineering Course Options?
We offer a range of SQL courses that form the basis of the skillset of every Data Engineer.
What is the Certificate Information?
Upon completing the courses, you will receive a certificate that showcases your skills and knowledge in data engineering.
What is the Role of a Data Engineer?
A data engineer is responsible for developing, constructing, testing, and maintaining data architectures, such as databases and large-scale processing systems.
What are the Key Responsibilities of a Data Engineer?
Key responsibilities include designing and building data pipelines, ensuring data quality and reliability, integrating data from various sources, and optimizing data retrieval.
How Can I Transition into a Career in Data Engineering?
Gain relevant skills through courses, work on projects to build your portfolio, seek internships or entry-level positions, and continuously learn and adapt to new technologies.
How Do I Choose the Suitable Data Engineering Course?
You should start with Introduction to SQL and Intermediate SQL courses. If you are skilled in basic SQL, you can choose Advanced Techniques in SQL.
Can I Become a Data Engineer Without a Technical Background?
It is possible with dedication and the right training, although a background in computer science or a related field can be advantageous.
What Programming Languages are Essential for Data Engineering?
Key languages include SQL, Python, Java, and Scala, with knowledge of frameworks like Apache Spark and Hadoop being highly beneficial.
What Are Some Tips for Successful Completion of Data Engineering Courses?
Stay organized, practice coding regularly, engage with course materials and projects, participate in discussions, and seek feedback from instructors and peers.
What is the Cost of Training for Data Engineering Courses?
We have several pricing plans that are common for all our courses. You can find them via the link: https://codefinity.com/pricing.
Which Data Engineering Course is Best Suited for Beginners?
The Introduction to SQL course.
Can I Become a Data Engineer in 3 Months?
While it's challenging, intensive courses and dedicated study can equip you with basic skills in 3 months, but gaining proficiency and experience typically takes longer.
Is Data Engineering a Lot of Coding?
Yes, data engineering involves significant coding, particularly in writing scripts for data processing, building data pipelines, and integrating various data systems.
What Our Users Say
Join 1.5+ million advancing in AI and data skills at Codefinity
Ready to get started?
ProBest intro offer$12 /monthBilled annually
100+ Top-Rated courses
Completion certificates
AI-Assistant in all courses
20+ hands-on Real-world projects
Personalized study tracks
Unlimited workspaces
UltimateAll you need to to boost your career$25 /monthBilled annually
100+ Top-Rated courses
Completion certificates
AI-Assistant in all courses
20+ hands-on Real-world projects
Personalized study tracks
Unlimited workspaces
Top courses in the Data Engineering category
1. | Intermediate SQL | 3 hours | 25 chapters |
2. | Databases in Python | 3 hours | 21 chapters |
3. | Relational Database and Normalization | 1 hours | 12 chapters |
4. | Web Scraping with Python | 3 hours | 23 chapters |
1. Intermediate SQL
Hours
3Chapters
252. Databases in Python
Hours
3Chapters
213. Relational Database and Normalization
Hours
1Chapters
124. Web Scraping with Python
Hours
3Chapters
23Related topics on blog
Data Analytics
by Kyryl SidakData Scientist, ML Engineer
BackEnd Development
by Oleh LohvynBackend Developer
Data Analytics
Data Science
by Kyryl SidakData Scientist, ML Engineer