PySpark Training
- Learn PySpark fundamentals, RDDs, and DataFrames.
- Gain hands-on experience with real-time projects.
- Work with Hadoop, Spark SQL, and cloud platforms.
- Build Machine Learning models using PySpark MLlib.
- Flexible online and classroom training options.
- Resume building, mock interviews, and job support.
Course Highlights / Key Features
- Comprehensive coverage of PySpark fundamentals and advanced concepts
- Hands-on real-time projects and assignments
- Interactive sessions with industry-experienced trainers
- Focus on big data ecosystem and distributed computing
- 100% placement assistance
- Preparation for real-world data engineering roles
Why Choose Our PySpark Training
- Expert-led, practical learning with live examples
- Access to recorded sessions and learning resources
- Training designed to bridge the gap between theory and industry
- Flexible online and classroom training options
- Dedicated placement assistance and career guidance
- Lifetime access to recorded sessions & class notes
Who Should Join This PySpark Training?
- Aspiring Data Engineers and Data Analysts
- Software developers aiming to upskill in big data
- Graduates seeking a career in Data Science and Analytics
- Professionals looking for high-demand technical skills
- Freshers or professionals looking to switch to data/cloud roles
Job Opportunities After PySpark Training
Once you complete the AWS Data Engineering course, you can explore roles like:
- Data Engineer
- Big Data Developer
- Data Analyst
- Business Intelligence Developer
- Hadoop / Spark Developer
- Analytics Engineer
Tools & Technologies You Will Master After Training
- PySpark, Hadoop, and Spark SQL
- AWS / Azure cloud integration
- DataFrame & RDD operations
- Machine Learning with PySpark MLlib
- Real-time data processing and ETL pipelines
- (Optional) SageMaker integration for ML workflows
Placement Support & Job Assistance
After training:
- We help you with resume building tailored to data/cloud roles
- Conduct mock interviews & role-playing
- Connect you to partner companies and hiring teams
- Provide post-course support until you get placed
- Analytics Engineer
FAQ'S
Do I need prior coding knowledge?
Basic knowledge of Python and SQL is recommended.
Can I access course recordings?
Yes, all sessions are available for review anytime.
What is the mode of training?
Both online and classroom options are available.
Are real-world projects included?
Yes, you’ll work on live projects to gain practical experience.
Is certification provided?
Yes, you will receive a course completion certificate after training.