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This course for absolute beginners provides you with the opportunity to systematically learn core statistical and probability concepts, descriptive statistics, hypothesis testing, regression analysis, analysis of variance (ANOVA), and advanced regression/ML methods such as logistics regressions, polynomial regressions, decision trees, and more.

Learn about the jQuery library from scratch and stretch your journey from a beginner-level to advanced-level professional with a step-by-step and comprehensive course. A basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course.

Take your REST APIs to a whole new level with this advanced Flask and Python course!

Let's build sophisticated visualizations and dashboards using Sankey diagrams and geospatial, sunburst, and circular charts and animate your visualizations. We will also cover advanced Tableau topics, such as Tableau parameters and use cases and Level of Detail (LOD) expressions, spatial functions, advanced filters, and table calculations.

This course is a perfect introduction for individuals and students interested in becoming cyber security/information security professionals. With this course, you will acquire well-rounded knowledge about the fundamental concepts of cyber/information security.

With this course, you will learn about the threats and vulnerabilities to organizations and how they combine to produce risks in an organization. Learn cyber risk prevention methods for risk mitigation, avoidance, transference, and acceptance and how to classify information and successfully implement security controls to limit cyber risks.

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.