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Data Mining with R: Go from Beginner to Advanced!

Master data analysis with R! Learn visualization & data mining techniques. Perfect for exploring & extracting insights from your data.

4.4(428)
4,713students
11h 54m
Certificate
Geoffrey Hubona, Ph.D.
Geoffrey Hubona, Ph.D.Associate Professor of MIS and Data Analytics

Course Content

Data Mining with R: Go from Beginner to Advanced! is an all-levels Udemy course taught by Geoffrey Hubona, Ph.D.. It runs 11h 54m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 428 reviews, with 4,713 students enrolled. It is a paid course, last updated August 2020.

Unlock the power of data analytics with this comprehensive, hands-on course! Learn to master R software, a powerful and free tool, to perform a wide range of data mining tasks using real-world data and practical case studies.

This course equips you with essential data analysis, data mining, and predictive analytics skills highly sought after in today's job market. You'll gain expertise in:

  • Data Exploration: Discover insights hidden within your data.
  • Data Visualization: Create compelling visuals to communicate your findings.
  • Data Mining Techniques: Apply proven methods to extract valuable information.

Dive deep into practical applications with dozens of demonstrations covering:

  • Classification & Predictive Data Mining: Build models to predict future outcomes.
  • Classification Trees: Understand decision-making processes.
  • Decision Trees: Learn to create predictive models with ease.
  • Random Forests: Leverage ensemble methods for improved accuracy.
  • Linear Modeling & Regression: Analyze relationships between variables.
  • Generalized Linear Modeling: Model non-normal data.
  • Logistic Regression: Predict probabilities for binary outcomes.
  • Cluster Analysis: Group similar data points together.

The course also covers fundamental R software skills, including:

  • R & RStudio Installation: Get started quickly and easily.
  • Data Types & Structures: Understand the building blocks of R.
  • Data Input: Learn various methods for importing data (keyboard, prompts, file import).
  • Best Practices for R: Develop efficient and effective coding habits.

Everything you need is included! Access all software, slides, data sets, and R scripts used in the video lessons. Apply your newfound skills to your own data analysis projects. Reinforce your learning with hands-on exercises at the end of each section.

This course is ideal for:

  • Undergraduate & Graduate Students: Acquire employable data analytics skills for career advancement.
  • Predictive Analytics Professionals: Expand your data analysis and data mining knowledge and capabilities.

Start your journey to becoming a data-driven expert today!

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