Data Mining Course
Course Rating
Out of 27 verified reviews
"I thoroughly enjoyed this Data Mining course. Practical knowledge and a supportive community made it a rewarding learning experience."
Max
"As a beginner, I was unsure about data mining, but this course made it accessible. The hands-on projects and clear explanations were a huge help."
Dana
Price £195 (no VAT) Time 9:00am-2:00pm Venue Llynfi Enterprise Centre, Bridgend County, CF34 0BQ
Course Overview
The one-day Data Mining course provides an introduction to the field of data mining and its practical applications. Participants will gain a solid understanding of the fundamental concepts, techniques, and tools used in data mining. The course begins with an introduction to data mining, highlighting its goals, benefits, and challenges. Participants will also explore ethical considerations in data mining.
Next, the course delves into data preprocessing, covering the steps involved in preparing data for analysis. Topics include handling missing data, outliers, and noise, as well as transforming and normalising data. The course then moves on to exploratory data analysis, where participants will learn how to summarise and understand data using descriptive statistics and visualisation techniques. They will also discover methods for identifying important variables and relationships within the data.
Participants will be introduced to various data mining techniques, such as classification, regression, clustering, and association rule mining. They will learn the underlying principles and algorithms of each technique and gain insights into evaluating and selecting the appropriate technique for different data mining problems. Machine learning algorithms commonly used in data mining will be explored. Participants will understand how to apply supervised and unsupervised learning techniques to analyse and predict outcomes. The evaluation of machine learning models' performance will also be covered.
By the end of this one-day course, participants will have a solid foundation in data mining and be equipped to apply the learned techniques to extract valuable insights from large datasets.
Course Dates 2024
June: Fully Booked
July: 4th, 11th, 18th, 25th
August: 1st, 8th, 15th, 22nd, 29th
September: 5th, 12th, 19th, 26th
October: 3rd, 10th, 17th, 24th, 31st
Course Content
- Introduction to Data Mining
- Data Collection and Preparation
- Data Exploration and Visualisation
- Association Rule Mining
- Classification and Prediction
- Cluster Analysis
- Applications of Data Mining
- Ethics and Privacy in Data Mining
- Conclusion and Next Steps
Who is this course for?
This course is designed for professionals and individuals from various backgrounds, including data analysts, business professionals, researchers, and decision-makers, who want to enhance their understanding of data mining techniques and their practical applications. No prior knowledge of data mining is required, making it accessible to beginners as well as those with some familiarity with the subject.
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