Learn to use powerful^ open-source^ Python tools^ including Pandas^ Git and Matplotlib^ to manipulate^ analyze^ and visualize complex datasets.
In the information age^ data is all around us. Within this data are answers to compelling questions across many societal domains (politics^ business^ science^ etc.). But if you had access to a large dataset^ would you be able to find the answers you seek? This course^ part of the Data Science MicroMasters program^ will introduce you to a collection of powerful^ open-source^ tools needed to analyze data and to conduct data science. Specifically^ you&rsquo,ll learn how to use: python jupyter notebooks pandas numpy matplotlib git and many other tools. You will learn these tools all within the context of solving compelling data science problems. After completing this course^ you&rsquo,ll be able to find answers within large datasets by using python tools to import data^ explore it^ analyze it^ learn from it^ visualize it^ and ultimately generate easily sharable reports. By learning these skills^ you&rsquo,ll also become a member of a world-wide community which seeks to build data science tools^ explore public datasets^ and discuss evidence-based findings. Last but not least^ this course will provide you with the foundation you need to succeed in later courses in the Data Science MicroMasters program.