This is an Introduction to Natural Language Processing, and covers the main concepts around text cleaning, processing, exploring datasets, and becoming familiar with working with text based data in Python.
Learn more on Introduction to NLP in PythonThis course is designed to introduce learners to object orientated programming in Python.
Learn more on Introduction to object orientated programming in PythonThis course will provide learners with the skills they need to act as an intelligent customer for evaluation.
Learn more on Introduction to policy evaluationThis course will give you an understanding of Pyspark, the Python interface to the distributed processing tool Spark.
Learn more on Introduction to PysparkThis course focuses on applying coding skills in Python and building confidence, independence and resilience so that you can continue your learning beyond the classroom.
Learn more on Introduction to PythonThis course focuses on applying coding skills and building confidence, independence and resilience so that you can continue your learning beyond the classroom.
Learn more on Introduction to RThis course will give an overview of the benefits and main features of RMarkdown.
Learn more on Introduction to RMarkdownThis course will give you an understanding of Sparklyr, the R interface to the distributed processing tool Spark.
Learn more on Introduction to SparklyrThis course will give you an understanding of unit testing: the practice of designing, creating and executing tests for your code in both R and Python.
Learn more on Introduction to unit testingThis course has been designed for beginners in the field of machine learning (ML).
Learn more on Machine learning in R