Unleash the full potential of Python in the world of data engineering with our comprehensive course designed for aspiring data engineers, data scientists, and professionals seeking to harness the power of Python for efficient data processing and management. This hands-on program equips participants with the skills to design, build, and maintain robust data pipelines using Python, empowering them to handle large-scale data processing tasks effectively.
EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.
| 10-02-2025 | Monday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 12-02-2025 | Wednesday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 14-02-2025 | Friday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 15-02-2025 | Saturday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
Unleash the full potential of Python in the world of data engineering with our comprehensive course designed for aspiring data engineers, data scientists, and professionals seeking to harness the power of Python for efficient data processing and management. This hands-on program equips participants with the skills to design, build, and maintain robust data pipelines using Python, empowering them to handle large-scale data processing tasks effectively.
You will learn
Introduction to Data Engineering:
Python Fundamentals for Data Engineering:
Data Processing with PySpark:
Working with Big Data Technologies:
Building ETL Pipelines:
Data Modeling and Storage:
Orchestrating Workflows with Apache Airflow:
Data Quality and Testing:
Version Control and Collaboration:
Real-world Applications and Case Studies:
By the end of this course, participants will be equipped with the skills and tools needed to excel in the dynamic field of data engineering with Python. Whether you're a beginner looking to enter the field or an experienced data professional seeking to enhance your Python capabilities, this course provides a practical and in-depth exploration of data engineering principles and practices.
• We check your knowledge before we start the session.
• We build foundational topics first and core topics next.
• Theory classes with a real-time case study.
• Demo on every topic.
• Mock exam on every topic you understand.
• Exam Preparation
• Interview Preparation
4 Months Course 50% Theory 50% Lab Daily Home work Real time Projects
Topics Covered
Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.
Q: Will I get placement assistance?
A: Yes. You will get it once you are Certified.
Q: What if I have queries after I complete this course?
A: You can check our blogs or send your queries through email, social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.
Q: How soon after signing up will I get access to the course?
A: Once you join the course. our Counselor Manager will book a slot with our trainer based on mutually available timings.
Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.
Q: What is the average salary of a Python professional?
A: $100,000
If a student want to take admission in any course he has to go with the following steps
Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.
