Great course for beginners
I will teach you the Statistics knowledge necessary to understand data analytics algorithms commonly used in data mining tools.
This course introduces concepts and statistics methods central to data analytics and business intelligence systems. To understand the results of data mining tools or machine learning tools, some basic statistics should be understood. For this course, I will explain some statistical methods, such as regression, clustering, logistic regression, and decision analysis, that are commonly used in data analytics algorithms. After successfully completing the course, students should understand how the Statistics techniques work for data mining and machine learning, apply management science and artificial intelligence techniques for prescriptive and predictive analytics.
What you will learn
Understand the fundamentals of statistics
Understand how regression analysis works
Carry out regression analysis
Understand how clustering works
Understand how logistic regression works
Classification based on clustering or logistic regression
Make data-driven decisions
Learn by doing
My teaching philosophy is to learn by doing. Step-by-step tutorials and hands-on activities help you better understand how Statistics work. For this course, software tools, including Microsoft Excel and XLMiner, are a must for the class. A reliable web browser is needed to access lectures.
Awesomeness of this course include
Lectures with visualizations deliver the Statistics knowledge easily and friendly.
Examples help you understand how regression, clustering, logistic regression, and decision analysis work.
There are many demonstrations of hands-on activities with tools, including Microsoft Excel and XLMiner.
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Our courses can be watched 24/7 wherever you are. You can view them on mobile devices with the Udemy mobile app.
I am looking forward to meeting you soon.