PySpark Classroom Training and Certification

Course Overview

  • Course Rating 4.6/5

Overview

This program is about PySpark .

Python is a high-level programming language famous for its clear syntax and code readibility. Spark is a data processing engine used in querying, analyzing, and transforming big data. PySpark allows users to interface Spark with Python.

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PySpark Training Course provides a comprehensive introduction to PySpark, covering its core concepts, architecture, and essential components, with hands-on labs to solidify learning..

PySpark corporate training and certification oriented remote program aims to upskill you with PySpark Basics, DataFrames and Datasets, Spark SQL, RDD Operations, Data Processing, Machine Learning with PySpark MLlib, Real-time Data Processing

Currently due to Covid19 outbreak, the course is available remote and however it can also be accessed online via your nearby Prog360 centre based on local availability.

Course Prerequisites

• Basic knowledge of Python programming • Understanding of data processing concepts • Familiarity with SQL and database systems

Course Content

    1. Introduction to PySpark
      • Overview of Big Data and Apache Spark
      • Introduction to PySpark
      • PySpark installation and setup
      • Key features and benefits of PySpark
    2. PySpark Architecture and Components
      • Spark ecosystem overview
      • Understanding Spark architecture
      • Components: Spark Core, Spark SQL, Spark Streaming, MLlib, GraphX
      • PySpark APIs and libraries
    3. Working with DataFrames
      • Introduction to DataFrames
      • Creating DataFrames from various data sources
      • DataFrame operations and transformations
      • Performing SQL queries on DataFrames
    4. Resilient Distributed Datasets (RDDs)
      • Introduction to RDDs
      • Creating RDDs in PySpark
      • RDD operations: Transformations and Actions
      • Persistence and caching
    5. Advanced DataFrame Operations
      • Aggregations, joins, and group operations
      • Working with missing data
      • DataFrame optimization techniques
      • Handling large datasets efficiently
    6. Spark SQL with PySpark
      • Introduction to Spark SQL
      • Creating and managing Spark SQL tables
      • Using DataFrame API with Spark SQL
      • Advanced SQL operations
    7. Machine Learning with PySpark MLlib
      • Introduction to Spark MLlib
      • Overview of machine learning algorithms in MLlib
      • Building and evaluating machine learning models
      • Examples of classification, regression, and clustering
    8. PySpark Streaming
      • Introduction to Spark Streaming
      • Processing real-time data with PySpark Streaming
      • Basic operations with DStreams
      • Simple examples of streaming applications
    9. Hands-On Project
      • Building a complete data processing pipeline with PySpark
      • Integrating Spark SQL and MLlib
      • Processing and analyzing a large dataset
      • Performance tuning and optimization
    10. Summary and Conclusion
      • Recap of key concepts
      • Q&A session
      • Next steps and additional resources

    Hands-On Labs: 60% of the training will involve practical exercises and case study

    Materials: Participants will receive course materials, code samples, and resources for further learning.

    Certificate of Completion: Participants who attend all sessions and successfully complete the course assessments will receive a Prog360 Certificate of Completion for the Training Program.

PySpark Certifications

PySpark course delivery involves case studies, examples, discussions and exercises to enhance the learning experience.
At the end of the training the participants will be awarded Course Completion Certificates on PySpark .

Post Course Evaluation

You may chose to enroll for a post course evaluation to analyse your knowledge metrics. The post course evaluation would cover the topics related to the training delivered over the period of the complete session, like:

    • Introduction to PySpark
    • PySpark Architecture and Components
    • DataFrames and RDDs
    • Spark SQL
    • Machine Learning with PySpark
The topic listed above are only to give you a general idea and the post training evaluation may or may not restrict to these topics. Post successful evaluation attempt the participants would be awarded Evaluation Certificates on PySpark. Upon Completion of this Course you will accomplish following:
    • Mastery of PySpark for data processing and analysis
    • Ability to build and run PySpark applications
    • Proficiency in using DataFrames and RDDs with PySpark
    • Understanding of Spark SQL and machine learning with MLlib in PySpark

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Upcoming Sessions Near You

City
Start Date
End Date
Apply
New South Wales, Australia
26-Dec-2024
27-Dec-2024
Melbourne, Australia
26-Dec-2024
27-Dec-2024
Melbourne, Australia
12-Jan-2025
13-Jan-2025
New South Wales, Australia
12-Jan-2025
13-Jan-2025
New South Wales, Australia
25-Jan-2025
26-Jan-2025
Melbourne, Australia
25-Jan-2025
26-Jan-2025
Melbourne, Australia
11-Feb-2025
12-Feb-2025
New South Wales, Australia
11-Feb-2025
12-Feb-2025
Melbourne, Australia
24-Feb-2025
25-Feb-2025
New South Wales, Australia
24-Feb-2025
25-Feb-2025

PySpark Corporate Training

Corporate Training

Prog360 offers on-demand corporate learning and development solutions around PySpark that can be delivered both onsite and remote (based on availability). With Prog360, you can train your employees with our 360 Approach which not only enhance professional skills but also improvise inter-personal development. Please feel free to inquire further. We are open to discuss your requirement to provide you more customized solution specific to your needs. We will evaluate the skillset, analyze the business requirement and post that provide customized training solutions as per your business needs. Our corporate team for PySpark training is based across the globe hence you can reach us nearby your region as well. For general training inquiries you can contact us at training@prog360.com.

PySpark Consultation

Consultation

If you have already up-skilled your team and have started implementing PySpark, but are still facing challenges, Prog360 can still help you. Our SMEs can get on a call with you to understand the situation and provide you a plan involving the next steps covering both audit and implementation based on your problem statement. Our corporate team for PySpark consultation is based across the globe hence you can reach us nearby your region as well. For general consultation inquiries you can contact us at consult@prog360.com . For more nearby inquiries you can reach your nearby team.

South East Asia and Oceania

Oceania: Melbourne, Australia: 152 Elizabeth St,Melbourne,VIC,Melbourne,

Corporate Training: training.au@prog360.com

Consulting Services: consult.au@prog360.com

South East Asia: Singapore: 5, Temasek Boulevard, Singapore, Central Region, 03898, Singapore

Corporate Training: training.sg@prog360.com

Consulting Services: consult.sg@prog360.com

Contact Number :- +61 3 9015 4952

South Asia and Middle East

South Asia: Bengaluru, India: No. 78, Next to KR Puram Tin Factory, Old Madras Road, Bangalore – Mahadevapura, Bengaluru, Karnataka, 560016

Corporate Training: training.southasia@prog360.com

Consulting Services: consult.southasia@prog360.com

Middle East:- Dubai, UAE: The Offices 4, One Central Dubai World Trade Center, Dubai, Dubai, 00000, UAE

Corporate Training: training.ae@prog360.com

Consulting Services: consult.ae@prog360.com

Contact Number :- +91 9810 643 989

For any Queries

Testimonials & Reviews

The PySpark course was excellent, providing a comprehensive understanding of PySpark and its practical applications.
Daniel Johnson
Excellent PySpark Training
Comprehensive course on PySpark. The content was well-organized, and the hands-on labs were very beneficial.
Sophia Davis
Comprehensive PySpark Course
Engaging training on PySpark with practical examples that made the concepts easy to understand and apply.
Liam Thompson
Engaging PySpark Training
Practical course on PySpark with a focus on real-world applications. The hands-on labs were particularly useful.
Olivia Wilson
Practical PySpark Course
Effective training on PySpark with a strong emphasis on practical implementation. The course content was up-to-date and relevant.
Zoe Johnson
Effective PySpark Training
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