Use Python for Non-Data Role
About this Course
Even if you are not a person with a data specific role, knowing how to work with data is becoming a highly in-demand skill. More and more companies are collecting data, storing data, and making data-based decisions. From marketing to human resources, to finance and operations, knowing the basics of how to use a data language such as Python will make you even more desirable, valuable, and useful to your company. In this project, learners will learn how to get started with Python. They will learn how to upload Excel sets into Python; how to create lists, dictionaries, and tables; and even how to create Gantt charts with Python. This will arm people in all kinds of roles to use Python to perform data tasks.Created by: Coursera Project Network
Related Online Courses
Athletes, lawyers and team executive experts provide insight in how law and regulations intersect with data analytics and sports management techniques for best practices in the sports industry.... more
Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as... more
By the end of the specialization, you will be able to: Assess conflict types and identify the needs and responses of all conflicting parties. Identify when conflicts arise and manage them in... more
In this course, AWS Hero Alex DeBrie demonstrates the step-by-step process of migrating a Microsoft SQL Server database to Amazon DynamoDB. You can watch Alex explain the steps of the migration... more
Backend refers to the server side of development. Here, the primary focus is on how a website works. Node.js is considered efficient for the development of backend applications as it brings... more
Powered by
