PySpark
PySpark
Data Analysis
Data Analysis
💪 Advanced
💪 Advanced
Apache Spark with PySpark: Big Data Analytics with Python
Apache Spark with PySpark: Big Data Analytics with Python
Apache Spark with PySpark: Big Data Analytics with Python
Master Apache Spark with PySpark over 40 weekend hours. Learn distributed data processing, Spark SQL, streaming, and ML. Build two hands on big data projects and receive career guidance to launch your data engineering journey.
Master Apache Spark with PySpark over 40 weekend hours. Learn distributed data processing, Spark SQL, streaming, and ML. Build two hands on big data projects and receive career guidance to launch your data engineering journey.
Master Apache Spark with PySpark over 40 weekend hours. Learn distributed data processing, Spark SQL, streaming, and ML. Build two hands on big data projects and receive career guidance to launch your data engineering journey.
HURRY ONLY 10 SEATS LEFT
HURRY ONLY 10 SEATS LEFT
HURRY ONLY 10 SEATS LEFT
₹
₹
₹
17,999
17,999
17,999
₹
₹
₹
20,999
20,999
20,999
14
14
14
% OFF
% OFF
% OFF
New Batch Starts on
New Batch Starts on
July 1, 2025
July 1, 2025
Limited seats only
Limited seats only
20 Students
20 Students
Course Duration
Course Duration
40 Hours
40 Hours
Registration Closes
Registration Closes
June 25, 2025
June 25, 2025
June 25, 2025
Course Overview
Course Overview
This 40 hour weekend, hands on course teaches you how to harness Apache Spark’s distributed computing power using PySpark—the Python API. You’ll learn Spark Core, RDDs, DataFrames, Spark SQL, streaming, and MLlib. Build real-world projects and prepare for roles like Big Data Engineer or PySpark Developer.
This 40 hour weekend, hands on course teaches you how to harness Apache Spark’s distributed computing power using PySpark—the Python API. You’ll learn Spark Core, RDDs, DataFrames, Spark SQL, streaming, and MLlib. Build real-world projects and prepare for roles like Big Data Engineer or PySpark Developer.
What will be learned
What will be learned
Understand Apache Spark architecture and ecosystem components
Understand Apache Spark architecture and ecosystem components
Work with RDDs: transformations, actions, key–value pairs, lazy evaluation
Work with RDDs: transformations, actions, key–value pairs, lazy evaluation
Integrate PySpark with Hadoop/Hive and external data sources (e.g. JSON, Parquet)
Integrate PySpark with Hadoop/Hive and external data sources (e.g. JSON, Parquet)
Build machine learning pipelines using MLlib for classification & clustering
Build machine learning pipelines using MLlib for classification & clustering
Use DataFrame API and Spark SQL for structured data processing
Use DataFrame API and Spark SQL for structured data processing
Optimize Spark jobs and tune performance for scalability
Optimize Spark jobs and tune performance for scalability
Meet the Mentor!
Deepak Surya
CEO at Wiates
Chennai, TN
English, Tamil
5.0
Fast and consistent responses
About Me
Hi, I’m a certified AWS Cloud Engineer with over 14 years of experience . As your mentor, my goal is to simplify cloud concepts and guide you step-by-step through real-world AWS scenarios. Whether you're just starting out or aiming to build a cloud career, I’m here to share the best practices, tools, and hands-on tips that have helped me in the field. Let’s dive into AWS — one service at a time!
Meet the Mentor!
Deepak Surya
CEO at Wiates
Chennai, TN
English, Tamil
5.0
Fast and consistent responses
About Me
Hi, I’m a certified AWS Cloud Engineer with over 14 years of experience . As your mentor, my goal is to simplify cloud concepts and guide you step-by-step through real-world AWS scenarios. Whether you're just starting out or aiming to build a cloud career, I’m here to share the best practices, tools, and hands-on tips that have helped me in the field. Let’s dive into AWS — one service at a time!
Meet the Mentor!
Deepak Surya
CEO at Wiates
Chennai, TN
English, Tamil
5.0
Fast and consistent responses
About Me
Hi, I’m a certified AWS Cloud Engineer with over 14 years of experience . As your mentor, my goal is to simplify cloud concepts and guide you step-by-step through real-world AWS scenarios. Whether you're just starting out or aiming to build a cloud career, I’m here to share the best practices, tools, and hands-on tips that have helped me in the field. Let’s dive into AWS — one service at a time!
Tech Career Program Highlights
Tech Career Program Highlights
Tech Career Program Highlights
Design and implement distributed data processing workflows with PySpark
Design and implement distributed data processing workflows with PySpark
Create scalable Spark applications using RDDs and DataFrames
Create scalable Spark applications using RDDs and DataFrames
Write Spark SQL queries, custom UDFs, and integrate with Hive/Hadoop
Write Spark SQL queries, custom UDFs, and integrate with Hive/Hadoop
Build and deploy machine learning models using MLlib
Build and deploy machine learning models using MLlib
Process and analyze streaming data in real time
Process and analyze streaming data in real time
Syllabus Overview
Syllabus Overview
Syllabus Overview
Week 1
Spark + PySpark Foundations
Week 1
Spark + PySpark Foundations
Week 1
Spark + PySpark Foundations
Week 2
DataFrame API & Spark SQL
Week 2
DataFrame API & Spark SQL
Week 2
DataFrame API & Spark SQL
Week 3
Data Ingestion & Project 1
Week 3
Data Ingestion & Project 1
Week 3
Data Ingestion & Project 1
Week 4
Certificate
Streaming & MLlib Introduction
Week 4
Certificate
Streaming & MLlib Introduction
Week 4
Certificate
Streaming & MLlib Introduction
Certificate Preview
Certificate Preview
Certificate Preview
Here’s what you’ll receive after successful completion:
Here’s what you’ll receive after successful completion:
Here’s what you’ll receive after successful completion:
Recognized by industry-aligned institutions
Recognized by industry-aligned institutions
Recognized by industry-aligned institutions
Success Stories
Success Stories
Success Stories
“I was new to big data and nervous about Spark. This course explained everything in such a simple way. The ETL project helped me truly understand how data flows in real-world pipelines.”
Pavithra N
Junior Developer
“I joined this to upskill for a project at work and ended up applying PySpark with Kafka in production. Week 4 on streaming was super practical and gave me the clarity I needed.”
Rohit S.
Junior Developer
“I only had weekends to learn, and this format fit perfectly. The projects are not just demos — they mirror real industry tasks. Also, using Databricks made it so easy to follow along.”
Arjun M.
Junior Developer
“I joined this to upskill for a project at work and ended up applying PySpark with Kafka in production. Week 4 on streaming was super practical and gave me the clarity I needed.”
Rohit S.
Junior Developer
“I only had weekends to learn, and this format fit perfectly. The projects are not just demos — they mirror real industry tasks. Also, using Databricks made it so easy to follow along.”
Arjun M.
Junior Developer
“I added both course projects to my GitHub and cracked a junior data engineer role. The career prep session in Week 5 was a bonus — resume tips and interview questions were spot on.”
Sneha K.
Junior Developer
“I was new to big data and nervous about Spark. This course explained everything in such a simple way. The ETL project helped me truly understand how data flows in real-world pipelines.”
Pavithra N
Junior Developer
“I joined this to upskill for a project at work and ended up applying PySpark with Kafka in production. Week 4 on streaming was super practical and gave me the clarity I needed.”
Rohit S.
Junior Developer
“I only had weekends to learn, and this format fit perfectly. The projects are not just demos — they mirror real industry tasks. Also, using Databricks made it so easy to follow along.”
Arjun M.
Junior Developer
“I added both course projects to my GitHub and cracked a junior data engineer role. The career prep session in Week 5 was a bonus — resume tips and interview questions were spot on.”
Sneha K.
Junior Developer
Why Join This Program?
Why Join This Program?
Why Join This Program?
Industry-Aligned Content
Industry-Aligned Content
Industry-Aligned Content
Hands-On Learning
Hands-On Learning
Hands-On Learning
Beginner-Friendly
Beginner-Friendly
Beginner-Friendly
Flexible Schedule
Flexible Schedule
Flexible Schedule
Career Support
Career Support
Career Support
Accessible Practice
Accessible Practice
Accessible Practice
Frequently Asked Questions
Frequently Asked Questions
Frequently Asked Questions
Do I need prior experience with Spark or Hadoop?
Do I need prior experience with Spark or Hadoop?
Do I need prior experience with Spark or Hadoop?
What programming knowledge is required?
What programming knowledge is required?
What programming knowledge is required?
What tools or platforms are needed?
What tools or platforms are needed?
What tools or platforms are needed?
Will I receive a certificate?
Will I receive a certificate?
Will I receive a certificate?
Can I continue practicing after the course?
Can I continue practicing after the course?
Can I continue practicing after the course?
WIATES
ACADEMY
We are an online software training platform dedicated to empowering students with the latest programming knowledge and hands-on experience to excel in their careers.
Quick Links
© 2025 WIATES. All rights reserved.
WIATES
ACADEMY
We are an online software training platform dedicated to empowering students with the latest programming knowledge and hands-on experience to excel in their careers.
Quick Links
© 2025 WIATES. All rights reserved.
WIATES
ACADEMY
We are an online software training platform dedicated to empowering students with the latest programming knowledge and hands-on experience to excel in their careers.
Quick Links
© 2025 WIATES. All rights reserved.