Data Mining and Data Visualization by Alexander Afriyie

Data Mining and Data Visualization
Introduction
Data Mining and Data Visualization book gives you a comprehensive
understanding of the modern approaches used for data analysis. You will
gain knowledge in extracting useful information from large datasets, as
well as learn about various visualization techniques to present complex
data. The book starts with an introduction to data mining principles,
algorithms, and statistical methods used for analysis. It then progresses to
advanced topics such as deep learning, text mining, artificial intelligence
(AI), and natural language processing (NLP). You will also discover
different tools used for visualizing data such as Tableau, Power BI, and
others. By the end of this training course, you will have a strong foundation
needed to make sense of meaningful insights from raw datasets and
effectively communicate these results in an understandable way.
Objectives
1. To develop an understanding of basic Data Mining and Data Visualization concepts,
tools & techniques.
2. To identify the data sources, gather and store data to support analysis workflows.
3. To design and build scalable, efficient analytical models that can be used in realworld applications.
4. To present complex datasets using interactive visualizations for clearer
communication and easier decision making.
5. To utilize advanced analytics techniques such as neural networks, machine learning,
clustering, and text mining for deeper insights into large datasets.
6. Develop strategies for transforming large amounts of raw data into meaningful
reports or presentations for stakeholders or management teams.