Data Engineering for Beginners: Learn SQL, Python & Spark
Overview of Data Engineering for Beginners: Learn SQL, Python & Spark Course on Udemy
Kickstart your journey into data engineering with the Data Engineering for Beginners: Learn SQL, Python & Spark course on Udemy. This comprehensive program is designed to equip beginners and professionals with the skills to build robust data pipelines using SQL, Python, and Apache Spark (PySpark). Led by expert instructor Durga Viswanatha Raju Gadiraju, the course offers hands-on projects and real-world exercises to master data processing on platforms like Google Cloud and Databricks. With a focus on practical learning, it’s ideal for aspiring data engineers or IT professionals transitioning to big data roles.
The course includes 56 hours of on-demand video, 24 articles, 4 downloadable resources, and lifetime access to keep up with industry trends. Enroll today with coupon ITV20250501 (valid until May 31, 2025—check the offer box below for the discount link!)
What to Expect from the Data Engineering for Beginners: Learn SQL, Python & Spark Course
This course offers an immersive learning experience tailored for beginners and intermediate learners aiming to break into data engineering. Spanning 56 hours, it combines video lectures, hands-on tasks, and exercises to ensure practical mastery. The teaching style is step-by-step, with a strong emphasis on real-world applications like building batch and streaming data pipelines. Expect to set up your own data engineering lab using Docker or cloud platforms like GCP, practicing with tools like PostgreSQL, Python, and Spark.
Key features include thousands of hands-on tasks, self-evaluation exercises, and a focus on industry-relevant skills like Spark DataFrame APIs and SQL query optimization. The course is hosted on Udemy, offering flexibility to learn at your own pace on any device, with lifetime access to updated content.
What You Will Learn in Data Engineering for Beginners: Learn SQL, Python & Spark
- Set up a data engineering environment with PostgreSQL, Python, and Apache Spark.
- Master SQL for data engineering, including table creation, indexing, and advanced queries like window functions.
- Gain Python programming essentials, covering collections, Pandas, and database programming.
- Use Spark DataFrame APIs (PySpark) for data processing, mastering operations like select, filter, and groupBy.
- Write high-quality Spark SQL queries for large-scale data processing.
- Understand file formats (Parquet, JSON, CSV) and the Spark Metastore for building efficient data pipelines.
Why Choose This Data Engineering for Beginners: Learn SQL, Python & Spark Course on Udemy
This course stands out due to its practical, hands-on approach and the expertise of instructor Durga Viswanatha Raju Gadiraju, a seasoned data engineering professional. The content is regularly updated to reflect industry trends, ensuring relevance in fast-evolving fields like big data and cloud computing. With 56 hours of video, 24 articles, and 4 downloadable resources, it offers exceptional value for mastering in-demand skills like SQL, Python, and PySpark.
The course’s focus on real-world projects, such as building data pipelines on Databricks, prepares learners for entry-level data engineering roles or career transitions. Use udemy coupon ITV20250501 to get discount (see offer box)!
Recommended Courses with Data Engineering Focus
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- Azure Databricks & Spark For Data Engineers: Hands-on Project – Learn real-world data engineering with PySpark and Delta Lake.
- Apache Spark 3 for Data Engineering & Analytics with Python – Master Spark for analytics and big data processing.
- Data Engineering with Python – Build data science and machine learning pipelines with Python.
Our Review of Data Engineering for Beginners: Learn SQL, Python & Spark Course
As website admins, we find this course to be a standout for aspiring data engineers. Its structured approach, starting with environment setup and progressing to advanced Spark SQL and PySpark, ensures a clear learning path. Durga’s delivery is engaging, breaking down complex concepts into digestible lessons. The hands-on labs and exercises mirror real-world data engineering tasks, making it highly practical for job preparation.
Pros:
- Comprehensive coverage of SQL, Python, and Spark with 53 hours of content.
- Hands-on projects and exercises enhance practical skills.
- Regular updates keep the course aligned with industry standards.
Cons:
- The 53-hour duration may feel overwhelming for absolute beginners.
- Requires some prior IT knowledge for optimal learning.
With udemy coupon ITV20250501, to get discounts!
Rating the Data Engineering for Beginners: Learn SQL, Python & Spark Course
Overall Rating: 9.4/10
- Content: 9.5/10 – In-depth coverage of SQL, Python, and Spark, with practical projects that align with industry needs.
- Delivery: 9/10 – Durga’s clear, step-by-step teaching style is engaging, though pacing could be faster in some sections.
- Value: 9/10 – Affordable with ITV20250501.
Don’t miss this opportunity to master data engineering skills at a discount—enroll now and build your career in big data
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