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

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

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

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

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

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

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: Distributed Computing
Category: Data Manipulation
Category: Apache Spark
Category: PySpark
Category: Data Store
Category: Data Processing
Category: Performance Tuning
Category: Big Data
Category: Data Transformation
Category: JSON

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Instructor

EDUCBA
EDUCBA
230 Courses104,910 learners

Offered by

EDUCBA

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