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.
This course covers the fundamentals of machine learning techniques ranging from various Support Vector Machines algorithms, k-means clustering, Random Forests, Collaborative filtering to recommendation systems, Mahout on Hadoop and Amazon EMR, etc.
The major focus of the course is to develop and improve skillsets at the industry level to work in the data science and data engineering domains. Less theories, more exercise, and projects
Learn how to use Power BI to easily create measures to find SUM, COUNT, MAX, and more with a click of a button. Gain the knowledge to become a Power BI expert and create compelling dashboards and data visualizations.
In this course, you’ll acquire the skills and competencies to write simple programs in R, covering core language concepts (variables, loops, etc.).
Data Analysis is part of Microsoft's Power Platform products, which allow users to analyze their data and gain foresight that can help them make sound, well-informed decisions for their organization.
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