Karthik Muthuraman

Karthik Muthuraman is a Software Engineer and Data Scientist at IBM’s Center for Open Source Data & AI Technologies (CODAIT). At CODAIT he works on solving ML problems using open source tools and models and contributing back to the open source community. Karthik holds a Master’s degree in Electrical and Computer Engineering from the University of Michigan, Ann Arbor. Prior to that Karthik was at E2Open working on big data platforms.

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Introduction to Big Data with Spark and Hadoop (Coursera)

Apr 15th 2024
Introduction to Big Data with Spark and Hadoop (Coursera)
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Bernard Marr defines Big Data as the digital trace that we are generating in this digital era. In this course, you will learn about the characteristics of Big Data and its application in Big Data Analytics. You will gain an understanding about the features, benefits, limitations, and applications of [...]

Data Engineering and Machine Learning using Spark (Coursera)

Jan 29th 2024
Data Engineering and Machine Learning using Spark (Coursera)
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Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery and more to identify behaviors and preferences of prospects, clients, competitors, and others. In this short course [...]

Big Data, Hadoop, and Spark Basics (edX)

Self Paced
Big Data, Hadoop, and Spark Basics (edX)
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This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on. Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, [...]
Self Paced
Course Auditing
88.00 EUR

Apache Spark for Data Engineering and Machine Learning (edX)

Self Paced
Apache Spark for Data Engineering and Machine Learning (edX)
Course Auditing
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This short course introduces you to the fundamentals of Data Engineering and Machine Learning with Apache Spark, including Spark Structured Streaming, ETL for Machine Learning (ML) Pipelines, and Spark ML. By the end of the course, you will have hands-on experience applying Spark skills to ETL and ML [...]