This Data Mining and Advanced Statistical Modeling course will give students deep understanding of the methods in data mining and predictive analytics.
DurationThis Data Mining and Advanced Statistical Modeling course will give students a deep understanding of the methods in data mining and predictive analytics.
It covers various advanced modeling procedures and applications. These procedures and applications include classification, prediction, exploration, association rules, and time series forecasting.
These procedures and applications are performed and illustrated with real data in analytics software such as SAS and Python. In addition, in this advanced statistical modeling course, students are given hands-on industry and business cases to enhance their understanding of statistical models. The learning outcome is to provide students with practical experience in conducting real-world data analytics projects.
Topics of the Statistical Modeling Course:
Predictive Analytics
Data Sampling, Target, Bivariate Analysis, Interaction and Transformation
Data Exploration, Performance Checking and Univariate Analysis
Linear Regression and Application
Logistic Regression and Application
Decision Tree and Application
Developing Time Series Model and Application
Developing Association Rules
Discriminant Analysis for Classification Analytics
Our instructors are not only qualified professionals but also industry-specific experts. Every one of our programs is designed with input from industry leaders to prepare you with the industry know-how.
Explore the future of technology, big data, analytics, and artificial intelligence. Learn how to develop and build dynamic mobile apps and games or understand the core algorithms for machine learning to improve your organization’s business intelligence operations.
The course will give you the practical knowledge on Data Warehouse concepts and how these tools help in developing a robust end-to-end BI solution using the Microsoft BI Suite.
In a fast-growing world of big data, businesses need to transform themselves to embrace challenges. In the past decade, not only did the volume of traditional structured data increase with unexpected velocity, but also the volume of other unstructured data exploded.
Unlock the value of data and ultimately transform business models, industries, and work experiences. As an authorized learning partner of AWS, Google, and Microsoft, we offer each vendor's official data science, artificial intelligence (AI), and machine learning (ML) training curriculum.
R, one of the leading programming languages, is widely used for statistics and data modelling.
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