Data science and machine learning: a practical approach

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Price: 44.99$

This course is an intermediate course for professionals working in different industries that want to understand and get more insights from the data they manage at their work or from an aside project. The idea is to provide real hands on experience and an interactive approach to learn data science and some machine learning techniques. We will explore tools such as data visualization, statistics and machine learning as skills for analyzing data. The course include programming exercises with different datasets for python. We will be using additional tools such as Google Analytics to analyze and visualize data. Furthermore, we will discuss different application from different industries such as e-commerce, energy, medical and other business applications. Is intended for any kind of learner that already has some basic programming skills on python coding. The course will be divided into 2 main modules:1. Tools for data science.-ETL: Extract, Transform and Load.-Data visualization. -Statistical tools.2. Implementing data science.-Setting up a environment for data science.-Data visualization implementation.-Data science implementation.-Machine learning implementation. The main objectives of the course:1. Understand what are the main features and tools involved with data science.2. Understand and infer information from graphical sources.3. Show data insights through reports and other graphical tools.4. Implement statistical tools for analyzing the behavior and distribution of our data.5. Implement machine learning methods (specifically classification methods) to predict the behavior of our data.