Data science and machine learning is achieved through complex algorithms and techniques. It generates various insights that can be used for several business purposes. Python, being a programming language known to have simple syntax and to integrate well in environments of production systems of organizations, is powerful tool in performing data science and machine learning. This course provides immediately applicable skills in using Python to implement data science and machine learning algorithms. Focus is on application of the most actionable analytical techniques in addressing the most common business problems.
What You Will Learn
Upon completion of this course, the learners are expected to:
- implement data science and machine learning algorithms using Python libraries; and
- perform the six powerful analytical techniques using Python and identify which among such techniques would be applicable for a specific business purpose.
You will need a computer or laptop with Microsoft Excel installed. Computer or laptop requirements are:
- For Windows: Core i3 or better, 4GB RAM or better, MS Excel 2007 or better
- For MacBook: ideally MS Excel 2013 or newer should be installed (some functions require this version on the Mac). If the version of MS Excel is 2011, download and install StatPlus.