Data Mining Skills you will learn

  • Statistics in Data Mining
  • Machine Learning Techniques
  • Data Collection and Cleaning
  • Data Analysis
  • Data Interpretation

Who should learn this Free Data Mining Course?

  • Data Science Enthusiasts
  • Beginners in R programming
  • Aspiring ML Professionals

What you will learn in this Free Data Mining Course?

  • Introduction to Data Mining Course

    • Lesson 1 - Introduction To Data Mining

      39:16
      • 1.01 Data Mining Intro Session
        09:21
      • 1.02 Data Mining Applications Phases Major Elements in Data Mining
        11:18
      • 1.03 R Tool R Studio Installation
        10:01
      • 1.04 Rapid Miner Installation Step by Step explanation
        06:16
      • 1.05 R Commands and Accessing the Tool
        02:20

    • Lesson 2 - Statistical Knowledge required for Data Mining

      17:35
      • 2.1
        08:26
      • 2.2
        09:09

    • Lesson 3 - Data Mining Concepts

      02:27:44
      • 3.01 Data Pre processing in the Data
        04:49
      • 3.02 R Studio Prelim Demo and Functional
        06:12
      • 3.03 Accessing the Datasets from R
        04:12
      • 3.04 How to remove incomplete values from the dataset with R
        03:37
      • 3.05 Plots with R
        02:28
      • 3.06 Merging and Grouping with Rapid Miner
        05:31
      • 3.07 Attribute Inclusion in the Dataset
        05:18
      • 3.08 Setting Roles in the Dataset with the RapidMiner
        05:01
      • 3.09 Handling Missing Values with Rapid Miner
        06:26
      • 3.10 Normalize and Outlier Detection with the RapidMiner
        10:56
      • 3.11 Modelling with Decision Tree with RapidMiner
        03:45
      • 3.12 Clustering With RapidMiner
        10:44
      • 3.13 K Means Clustering with Aggregation
        10:38
      • 3.14 K Means Clustering with R
        05:52
      • 3.15 Agglomerative clustering with RapidMiner
        05:07
      • 3.16 Hierarchical clustering and Visualization Techniques with R
        13:23
      • 3.17 Association Rule Mining
        11:08
      • 3.18 Association Rule Mining Support and Confidence Calculation
        05:46
      • 3.19 Apriori Algorithm
        15:59
      • 3.20 Data Exploration with R
        06:14
      • 3.21 CSV file with R
        04:38

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn Data Mining?

Trusted by Tech Giants

Amazon, Facebook, Microsoft, Google, Salesforce, and many more

$96576

Average Salary for a Data Engineer

FAQs

  • What tools do I need to install before starting this Data Mining tutorial?

    No software installation is required for this free introductory Data Mining tutorial. Our instructor will demonstrate how to use the tools.

  • What are the ideal computer specs to perform Data Mining?

    A system with higher CPU clock speed (ex- i7 processor) and a larger capacity for storage is preferable.

  • What are the prerequisites for this free Data Mining fundamentals course?

    No prior knowledge or experience is required to take this course. However, familiarity with R programming and basic machine learning concepts would be helpful.

Related Courses

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.