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Data Science Syllabus

data Science SyllabusFoundations40 - 100 HOURSS tart your journey in this prerequisite beginner's course by going over the fundamentals of data Science and exposing you to the breadth of skills and tools in the industry professional's arsenal. In these first units, you will be introduced to the scientific programming environment, as well as the key concepts of both programming and statistical StartedLocal Setup and Development EnvironmentPython Programming & Computer ScienceTypes, Flow Control, data Structures, Functions, OOP and Time ComplexitySciPy StackNumPy, pandas and matplotlibMathematicsStatistics, Probability, Calculus and Linear AlgebraData Science SyllabusData Analysis100 - 160 HOURSS tudents will tackle a wide variety of topics under the umbrella of exploratory data analysis.

Data Science Syllabus Machine Learning 200 - 260 Students will learn how to explore new data sets, implement a HOURS comprehensive set of machine learning algorithms from scratch, and master all the components of a predictive model, such as data preprocessing, feature engineering, model selection, performance metrics and hyperparameter ...

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