Data analytics with Phyton
In the first project, the student works as a data analyst for a retail company. His mission is to use data mining and machine learning techniques to investigate patterns in sales data and provide insights into customer buying trends and preferences. All this is executed using Python and SQL libraries for data extraction and manipulation.
In this first module the student acquires a first complete experience of a data analysis process. From the formulation of the business problem, the preparation of the data set, the creation of a model using a machine learning algorithm, to the presentation of recommendations to the business.
Data science with Phyton
In this second module the student has a different mission.
Your job as a Data Scientist will be to identify which customer attributes are significantly related to non-payment situations. You are asked to build a predictive model that can be used to better classify customers compared to previously implemented models. Regression methods are used. Your work should be submitted as Jupyter Notebook (Python tool) to your GitHub account. Com any working professional.
Business intelligence and Power BI
During this course, students will have the opportunity to create a dashboard using Power BI, from scratch. Covering the whole cycle, from importing the data, processing it and creating the measures that will then help them create the final model. During the process, the student works as a consultant for AdventureWorks, a company specialized in the sale of clothing and sporting goods.
Additionally, and as a result of the student’s experience with Python in the previous modules, they will be introduced to DAX, the tool’s own language, which will allow them to use it in an advanced way and which makes it highly employable.