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Course overview
In order to make analysis and the right decisions or predictions, companies or institutions have to turn raw data from large data sets into useful information. Data mining entails the concepts, principles, methods and techniques one requires in finding anomalies, correlations and patterns in data sets in order to make sound decisions and predictions. Through data mining decisions and predictions are made from knowledge of raw data well analyzed.
What will I learn?
- Introduction to data mining
- Concept of data mining
- Acquiring knowledge from big data
- Anomalies, patterns and correlation in data sets
- Analyzing data sets
- Data mining methods and techniques
- Using knowledge gained from data sets
Requirements
- Laptop
Curriculum for this course
18 Lessons
00:00:00 Hours
Introduction to data mining
4 Lessons
00:00:00 Hours
-
Information and Knowledge
.
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Large Data
.
-
Anomalies, Patterns and Correlation in Data Sets
.
-
Data Proccessing
.
Cross industry standard process (CRISP-DM)
2 Lessons
00:00:00 Hours
-
Sample, Explore, Modify, Model & Assess (SEMMA)
.
-
Online Analytical Processing (OLAP)
.
Dependency modelling
5 Lessons
00:00:00 Hours
-
Sequence Modelling
.
-
Data Classification
.
-
Data Clustering
.
-
Data Association
.
-
Data Iteration
.
Binning and smoothing
3 Lessons
00:00:00 Hours
-
Aggregation of Data
.
-
Normalization of Data
.
-
Discretization of Data
.
Principle concept analysis
4 Lessons
00:00:00 Hours
-
Sequential Pattern Analysis
.
-
T-distributed Stochastic Neighbour Embedding
.
-
Word Embedding
.
-
Data Analysis Structure
.
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Other related courses
00:00:00 Hours
Updated Thu, 22-Dec-2022
0
KSh37000
KSh30000
About instructor
OraDMT Digital Marketing Training
OraDMT offers digital marketing training programmes across all platforms. Digital Marketing training gives participants the understanding of one's brand online. Get empowered learn SEO, SMM,
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