Turbocharge your chatbot's IQ and AI capabilities with IBM Watson Discovery and powered by Watson Assistant. Learn to use and program tools and assitant services such as Tone Analyzer and Personality Insights to build queries, extract information big data repositories.

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 workflows.

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.

This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.

Learn about the world of data science first-hand from real data scientists.

This course introduces you to the fundamentals of NoSQL, including the four key non-relational database categories. By the end of the course you will have hands-on skills for working with MongoDB, Cassandra and IBM Cloudant NoSQL databases.

Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.

A beginner's guide to big data concepts and Hadoop framework, covering data storage, processing, and analysis techniques.

In this talk, we'll define the context in which the old batch processing model was born, the reasons that are behind the new stream processing one, how they compare, discover pros and cons, and a list of existing technologies implementing the latter.

Master the concepts of MapReduce and YARN in Hadoop. Learn how they work together to process large datasets efficiently and manage cluster resources.

Explore big data processing techniques using Apache Spark and Java, focusing on data analysis, manipulation, and real-time data processing.

Learn advanced big data processing techniques with PySpark, focusing on distributed computing, data manipulation, and analytics.