If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.
This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.
The main learning outcomes of the course are: Describe the key reasons to manage safety and health in the workplace Define the key terms relating to safety and health Identify how the law can have an impact on safety and health in the workplace Describe how to assess, reduce and control risk in the workplace Identify workplace hazards and risks, their impact and how to manage them Identify how to evaluate and respond to an incident List the benefits and characteristics of an effective health and safety management system Describe the principles that underpin good safety and health performance