Coursera MOOC / Non-credit 0

Data Streaming and NLP with PySpark

Name: Data Streaming and NLP with PySpark
Price: 49 USD
Availability: InStock

About this course

Data Streaming and NLP with PySpark explores streaming data processing and NLP using the power of distributed computing. This course equips learners with the skills to build scalable data-streaming applications and perform advanced NLP tasks on large datasets. Through hands-on labs, you will gain practical experience in processing streaming data and applying NLP techniques using PySpark. By the end of this course, you will be able to: - Analyze the effectiveness of various data streaming frameworks and their applications in real-time analytics. - Design and implement a data pipeline that integrates real-time streaming data sources while ensuring data quality and compliance with security standards. - Implement advanced data processing techniques with PySpark to handle and analyze large-scale streaming datasets efficiently. - Evaluate the impact of different NLP techniques on data processing and sentiment analysis in a streaming context. - Create interactive visualizations and dashboards to communicate insights derived from streaming data effectively. This course is ideal for data professionals, aspiring data engineers, and machine learning enthusiasts who want to leverage PySpark for real-time data processing and NLP applications. Some prior knowledge of Python, data processing concepts, and basic NLP principles is recommended. Join us to enhance your skills in data streaming and natural language processing with PySpark and elevate your expertise in handling real-time data!

68/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Analyze various data streaming frameworks and their applications
Design and implement a data pipeline for real-time streaming data
Implement advanced data processing techniques using PySpark
Evaluate NLP techniques for processing and sentiment analysis
Create interactive visualizations for streaming data insights

Machine Learning Data Analysis #machine learning #pyspark #data processing #nlp #sentiment analysis #data pipelines #data streaming #streaming data #real-time analytics #visualization

$49.00

Price shown by Coursera — confirm on their site.

Enroll on Coursera

You'll be redirected to Coursera to complete enrollment.