Welcome to The Foundations of Analytics online training!
Analytics is an encompassing and multidimensional field that uses mathematics, statistics, predictive modeling and machine learning techniques to find meaningful patterns and knowledge in data. Today we also add powerful computers to the mix for storing increasing amounts of data and running sophisticated software algorithms – producing the fast insights needed to make fact based decisions.
This course, The Foundations of Analytics, takes you through the fundamental concepts of analytics as well as the different components and techniques required to succeed and create real value with analytics.
We wish you welcome to this online training and good luck!
/The teams at Ny Teknik Education and SAS Institute
Lektioner
Introduction to Analytics
Module 1: The Analytics Life Cycle
Background This session introduces The Analytics Life Cycle. This session defines the essential components of analytics, as well as concepts, methods and techniques required to succeed and create real value.…
Module 2: Data Preparation & Exploration
Background These are the initial steps of the Analytics Life Cycle and the main objective is to prepare ourselves for analysis. During these steps, we will prepare and explore our…
Module 3: Modeling
Background This session introduces the concepts of modeling. The model step of the Analytics Life Cycle is where you test different types of algorithms to be able to, as good…
Module 4: Deployment
Background Deployment is one of three key components in analytics, but is often the component that organization spends least amount of time and money on. If an organization wants to…
Module 5: Data Visualization
Background During the entire Analytics Life Cycle, different questions will appear, findings and insights will be made etc. At some point we need to communicate with other users and a…
Evaluation & Diploma
Evaluation We truly appreciate that you will take the time to assess this online course! The evaluation process is our way of making sure we continuously improve – and for…
