Last Updated : 08 Jan 2025

Python, SQL and PySpark App Development Course Overview

The Python, SQL and PySpark App Development Certification covers different aspects of computer programming and data manipulation. Python is a high-level, general-purpose programming language known for its simplicity and code readability. SQL, or Structured Query Language, is used for managing and manipulating relational databases. PySpark is the Python library for Apache Spark, an open-source, distributed computing system used for big data processing and analytics. The certification demonstrates proficiency in these systems for creating web applications, managing database systems, and big data processing. Industries use these skills for software development, data analysis, and machine learning applications in data-driven decision making and predictive analytics.

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Course Fee	4,650
Total Fees	4,650 (USD)

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3,650^♱

View Fees Breakdown

Course Fee	3,650
Total Fees	3,650 (USD)

USD

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View Fees Breakdown

Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Live Training (Duration : 96 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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Target Audience for Python, SQL and PySpark App Development Certification Training

- Individuals aiming to become software engineers or data scientists
- Current IT professionals seeking to enhance their programming skills
- Students studying computer science or data analysis
- Project managers or team leaders involved in tech-based projects
- Coding enthusiasts or hobbyists interested in learning new languages.

Why Choose Koenig for Python, SQL and PySpark App Development Certification Training?

• Certified Instructor: Individuals get to learn from experts holding prestigious certifications.
• Boost Your Career: Acquiring skills in Python, SQL, PySpark significantly enhances career prospects.
• Customized Training Programs: The courses can be personalized as per individual learning pace and needs.
• Destination Training: Koenig Solutions offers destination training at their global centers.
• Affordable Pricing: The institute offers competitively priced training programs.
• Top Training Institute: Known for their superior training methods and course content.
• Flexible Dates: The course dates can be customized based on individual availability.
• Instructor-Led Online Training: Enables individuals to learn from anywhere.
• Wide Range of Courses: Comprises of a broad spectrum of course offerings, enhancing skill set.
• Accredited Training: Koenig Solutions is an accredited institution recognized globally for training quality.

Python, SQL and PySpark App Development Skills Measured

After completing Python, SQL and PySpark App Development certification training, an individual can acquire skills such as fundamentals and advanced concepts of Python, vast knowledge on SQL and database handling, and proficiency in PySpark. They would also gain skills in creating Spark applications using Python and integrating them with SQL. They could effectively perform data processing tasks, map functions, build data pipelines, create ETL tasks, perform exploratory data analysis, and create ML algorithms. Plus, they can proficiently handle real-time data processing and analysis.

Top Companies Hiring Python, SQL and PySpark App Development Certified Professionals

Leading technology companies such as Google, Amazon, Facebook, Microsoft, and IBM are constantly seeking Python, SQL, and PySpark app development certified professionals. Their complex data infrastructure requires skilled professionals who can utilize these languages for data mining, analytics, machine learning and AI development.

Learning Objectives - What you will Learn in this Python, SQL and PySpark App Development Course?

The learning objectives of a Python, SQL and PySpark App Development course are to understand and utilize the basics and advanced concepts of Python programming. It includes writing Python scripts, using Python libraries, and developing applications using Python. Learners should be able to use SQL for managing databases, writing SQL queries, and performing data analysis. Moreover, they should learn to leverage PySpark for big data processing, understand its architecture, and use it for data ingestion, processing, and visualization. Furthermore, understanding how to combine these technologies in app development will be a key objective.