Issued by Tekstac
This course provides insight from experts on what skills and attributes make a good Data Scientist. Importantly, among other things, this also covers what recruiters look for when they hire for Data Science roles.
In this course, individuals build upon basic Python skills, learning more advanced topics such as: object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. This two-day course will teach you to tackle unstructured pools of text and structure these for application in the analysis. Beginning with an introduction, we will follow all the steps to structure unstructured text data using different transformation methods such as DTM and TF-IDF, cleaning tools, and finally analyze the outcomes with basic and advanced analysis techniques.
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