Buy before | Your Rate | Full Rate | Savings |
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May. 25 | $795.00 | $895.00 | $100.00 |
Jun. 23 | $895.00 | $895.00 | $0.00 |
Businesses must turn their data into insights by using statistical analysis in order to be competitive. This course will teach you how to calculate and evaluate statistics for data analytics. Great course for beginners and analysts who want to leverage analytics within their transformation initiatives.
Data is everywhere! But how can businesses turn that endless data into insights that will allow a competitive advantage? What statistics are the most relevant to a specific business?
This course is designed for beginners and analysts who have not used statistics frequently. This is also a great class for managers or leaders who want to understand the statistics used by their analysts. Managers will learn how to participate in the choices of statistical approaches and fully understand the impacts of the data analytics studies.
You’ll use Microsoft Excel as a tool to calculate specific statistical values and discuss the interpretation of those statistics. You will learn to create objectives for your data analysis by applying the SMART criteria.
After mastering the basics, you will deep dive into more advanced statistics beginning with normal distributions learning how to recognize them and to understand the types of data statistics which can be applied to them including standard deviation. The section on hypothesis testing for predictive analytics allows you to learn how to setup hypothesis testing to predict the future. Basics of statistical probability including calculating permutations is explained.
In addition, we will discuss how to evolve your data analytics through the different types of analytics using statistics. All the concepts are explained in an easy-to-understand style with many hands-on exercises and discussions on best practices and practical usage.
Moving Between Types of Analysis
This data analytics course focuses on learning how to calculate different statistics and understanding when to use them. All the concepts are explained in an easy-to-understand style with plenty of hands-on exercises and discussions on best practices and practical usage. This course also includes managerial topics like creating objectives for data analytics and how to evolve your data analysis for better insights.
This course is available via the following methods:
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Available In-House or Private Live Online