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About this course
Unlock the potential of large datasets with our comprehensive Fundamentals of Data Mining course. Designed for both beginners and professionals, this course covers the essential techniques and tools needed to extract valuable insights from complex data. Learn how to identify patterns, relationships, and trends within data to make informed decisions and drive business success. Whether you're looking to start a career in data analysis or enhance your existing skills, this course provides the knowledge and hands-on experience needed to excel in the dynamic field of data mining.
Key Learning Objectives:
- Understand the core principles and concepts of data mining.
- Learn various data mining techniques, including classification, clustering, association, and regression.
- Gain proficiency in using data mining tools and software.
- Develop skills to preprocess and clean data for analysis.
- Explore real-world applications of data mining in different industries.
- Learn how to interpret and present data mining results effectively.
Who Should Take This Course:
This course is ideal for:
- Beginners with no prior experience in data mining.
- Data analysts, business analysts, and IT professionals looking to enhance their data analysis skills.
- Students and individuals interested in pursuing a career in data science or data analytics.
Prerequisites:
Basic understanding of data analysis concepts is beneficial but not mandatory. No prior experience with data mining is required.
Course Format:
- Self-paced online modules accessible at your convenience.
- Hands-on projects and practical exercises to reinforce learning.
- Step-by-step tutorials and real-world examples from experienced instructors.
- Access to a supportive community of learners and additional resources.
By the End of This Course, You Will:
- Have a solid understanding of data mining principles and techniques.
- Be able to apply data mining methods to extract insights from large datasets.
- Develop proficiency in using data mining tools and software.
- Know how to preprocess and clean data for effective analysis.
- Be prepared to tackle real-world data mining projects and challenges.
Enroll today and master the fundamentals of data mining to uncover valuable insights and drive success in any data-driven field!
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Basic Vocabulary
Data Attributes (Part 1)
Data Attributes (part 2)
Basic Data Types
Document Data & Transaction Data
Graph and Ordered Data
Data Quality
Data Noise
Missing & Duplicated Data
Data Cleaning
Data Aggregation
Sampling for Data Selection
Types of Sampling
Dimensionality Reduction
Feature Subset Selection
Data Transformation
Similarity & Dissimilarity
Euclidean Distance & Cosine Similarity
Evaluating Correlation
Data Exploration & Visualization
Summary Statistics
Measures of Center & Spread
Histograms & Box Plots
Scatter Plots & Contour Plots
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