SoftStack Factory

Part two of the Data Science program. 8 week course that requires previous knowledge of Python. WORKING WITH DATA - 4 WEEKS Students cover the techniques that real life data scientists use to gain insight into a dataset. From data engineering, to more advanced manipulation and visualizations; this course shows students how to unlock the secrets of any dataset — with the expressed goal of building experiments that require the building of a hypothesis function or “Model”. BUILDING AND EVALUATING ML MODELS - 4 WEEKS In part 2, students learn how to build Machine Learning models using the popular SciKit Learn library to show how Data Scientists “learn” a model to a dataset and how to make predictions with those models. We will also be covering the finer points of ML Modeling, namely Data Prep, Parameter Selection, and testing Model performance.

Part one of the Data Science program. Students learn the fundamentals of Python, using the most relevant Python libraries for manipulating and visualizing data.