Increasing technological advances have given rise to a proliferation of data from all aspects of life. This has led to a need for better ways of analyzing these data. The goal of this unit is to learn the fundamental concepts, principles and techniques of data science – an important field of study that provides the basis for informed decision making in many areas including business and science. Upon completion of this course, you will have the knowledge and skills to create and use a variety of data models as well as develop your analytic and programming skills through experience with a statistical programming language.
This unit is designed for the novice programmer who wants to get a solid foundation in using a programming language for data analysis and visualization. It provides students with the tools they need to work with large sets of data, from simple to complex structures. Students will explore the various algorithms that are available for data manipulation, data transformation, and model creation. Then, they will be introduced to basic data science concepts such as classification, clustering, regression and prediction. They will then use these tools to analyze real-world data and apply them to predictive modeling problems.
The main aim of this unit is to provide students with the fundamentals of SQL programming. By the end of this unit, students will be able to write efficient, high-quality SQL code that will allow them to manipulate and query large datasets. In addition, they will be able to write data pipelines that automatically collect and process data from web services and integrate it into a database.
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