EDUCBA
Spark and Python for Big Data with PySpark Specialization

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EDUCBA

Spark and Python for Big Data with PySpark Specialization

Spark and Python for Big Data with PySpark. Build scalable data workflows and predictive models using Spark and Python.

EDUCBA

Instructor: EDUCBA

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply PySpark to build, optimize, and evaluate distributed data processing workflows.

  • Design and execute predictive machine learning models for large-scale analytics.

  • Construct ETL pipelines, real-time streaming applications, and advanced big data solutions with Spark.

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Taught in English
Recently updated!

September 2025

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Specialization - 6 course series

What you'll learn

  • Recall Python syntax and identify key PySpark components for data processing.

  • Apply RDD transformations, joins, and JDBC integration with MySQL.

  • Build scalable pipelines like word count and debug PySpark applications.

Skills you'll gain

Category: PySpark
Category: Python Programming
Category: Data Transformation
Category: Data Processing
Category: MySQL
Category: SQL
Category: Distributed Computing
Category: Data Pipelines
Category: Programming Principles
Category: Data Manipulation
Category: Debugging
Category: Apache Spark

What you'll learn

  • Build and evaluate regression models in PySpark using linear, GLM, and ensemble methods.

  • Apply logistic regression, decision trees, and Random Forests for classification.

  • Implement K-Means clustering and assess scalable ML workflows with PySpark.

Skills you'll gain

Category: Machine Learning Algorithms
Category: Predictive Modeling
Category: PySpark
Category: Data Pipelines
Category: Applied Machine Learning
Category: Regression Analysis
Category: Statistical Machine Learning
Category: Unsupervised Learning
Category: Supervised Learning
Category: Classification And Regression Tree (CART)
Category: Predictive Analytics
Category: Apache Spark
Category: Random Forest Algorithm

What you'll learn

  • Apply RFM analysis and K-Means clustering for customer segmentation.

  • Extract and analyze textual data using OCR with PySpark DataFrames.

  • Build and interpret Monte Carlo simulations for uncertainty modeling.

Skills you'll gain

Category: Text Mining
Category: Customer Insights
Category: Marketing Analytics
Category: Customer Analysis
Category: Data Manipulation
Category: Predictive Modeling
Category: Data Processing
Category: Big Data
Category: PySpark
Category: Image Analysis
Category: Unstructured Data
Category: Data Transformation
Category: Data Mining
Category: Simulation and Simulation Software
Category: Apache Spark
Category: Statistical Modeling
Category: Risk Analysis
Category: Advanced Analytics

What you'll learn

  • Apply Scala fundamentals including variables, functions, and advanced concepts.

  • Implement Spark RDD operations, streaming, and fault-tolerant pipelines.

  • Build real-time big data solutions integrating Spark with external systems.

Skills you'll gain

Category: Data Structures
Category: Scalability
Category: Data Processing
Category: Object Oriented Programming (OOP)
Category: Apache Hadoop
Category: Scala Programming
Category: Systems Integration
Category: Real Time Data
Category: Apache Maven
Category: Apache Spark

What you'll learn

  • Install and configure PySpark, Hadoop, and MySQL for ETL workflows.

  • Build Spark applications for full and incremental data loads via JDBC.

  • Apply transformations, handle deployment issues, and optimize ETL pipelines.

Skills you'll gain

Category: Apache Spark
Category: Extract, Transform, Load
Category: PySpark
Category: Data Store
Category: System Configuration
Category: Data Pipelines
Category: Development Environment
Category: Java Platform Enterprise Edition (J2EE)
Category: Data Manipulation
Category: MySQL
Category: Data Transformation
Category: Apache Hadoop
Category: Software Installation
Category: Data Import/Export

What you'll learn

  • Describe Spark architecture, core components, and RDD programming constructs.

  • Apply transformations, persistence, and handle multiple file formats in Spark.

  • Develop scalable workflows and evaluate Spark applications for optimization.

Skills you'll gain

Category: Performance Tuning
Category: PySpark
Category: Data Processing
Category: Data Manipulation
Category: Data Transformation
Category: Data Pipelines
Category: Distributed Computing
Category: Apache Spark
Category: JSON
Category: Big Data
Category: Scala Programming

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Instructor

EDUCBA
EDUCBA
246 Courses105,315 learners

Offered by

EDUCBA

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