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Provided by AI Sciences shield-tick icon Remote Friendly globe icon

50 Hours of Big Data, PySpark, AWS, Scala and Scraping

PySpark is a Python-Apache Spark integration. You'll learn data analysis from the ground up. You'll learn end-to-end workflows using PySpark, from cleaning data to building features and implementing ML models.

Remember it's important you research your options before selecting a course. Late payments may result in fees and could negatively impact your credit file.


What will you


Here's what AI Sciences say about their course...

Streaming Data

Machine Learning

Batch Data

ETL pipelines

Full Load and replication on going



CSS Selectors

What do I get?

  • In this course, you will learn about: The introduction and importance of Big Data. Practical explanation and live coding with PySpark.

What do I need?

  • You should have basic understanding of HTML tags
  • Python, SQL and Node JS No prior knowledge of data scraping and Scala is needed
  • You must have basic understanding of programming
  • You must have a willingness to learn and practice

Knoma’s Take

AI Sciences aims to help people learn AI or data science from scratch. Their range of fully-online courses covers a range of topics. They aim for their courses to be a simple way to pursue lifelong learning and introduce yourself to in-demand skills within AI and data science.

Tom Meehan

CTO Knoma

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The support of Knoma allowed me to focus on my course of study without having to worry about an initial financial burden. Thanks to Knoma, I have been able to retrain as a Software Developer and look forward to an exciting new career.quote-end icon

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CAREER CHANGER | 2020 - 2021


Software Developer



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What does the course cost?

Repay over 11 months or more

Repayment period (months)

Learn for 10 payments of


/ month

Pay 0% interest

Check your eligibility

Representative example


/ month

Course cost: £1,200

Repayment period: 24 months

Interest rate: 12%

Interest paid: £147.48

Learn more

This interest rate is personalised to your specific circumstances

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