Understanding The Basics of Data Science

Introduction to Excel for Data Analysis

Mastering Data Analysis Using Excel

Transitioning into R for Enhanced Data Analysis

Advanced Techniques: Forecasting Techniques and Time Series Analysis

Implementing Optimization Models

Social Network Analysis and Graph Theory

Data Clustering Techniques

Ensemble Models and Classification Problems

Real World Applications of Data Science and Future Trends

Data Smart is a comprehensive introduction to the many powerful data-mining techniques employed by data scientists. The book guides readers through practical applications such as data pre-processing, data visualization, and machine learning techniques using exemplary real-world case studies.

Data Smart: Using Data Science to Transform Information into Insight