Dot Pattern

Data Science & Business Analytics Course

Data Science & Business Analytics Course

A Business Analytics and Data Science course is a program of study that teaches students the skills and knowledge needed to analyze and interpret data to make informed business decisions. The course focuses on using statistical and computational techniques to extract insights and identify patterns in data.

In a Business Analytics and Data Science course, students will learn about the basics of data analysis, including data collection, data cleaning, data visualization, and data interpretation. They will also learn about advanced statistical and machine learning techniques such as regression analysis, clustering, classification, and predictive modeling.


The course may also cover topics such as data mining, big data analytics, data storytelling, and the use of tools and platforms such as Python, R, Tableau, and Excel for data analysis. Additionally, students may learn about ethical considerations related to data privacy and security.

Course Modules

  • Introduction to Data Science
  • Data Collection and Processing
  • Exploratory Data Analysis
  • Predictive Analytics
  • Data Visualization
  • Business Intelligence
  • Optimization Techniques
  • Time Series Analysis
  • Big Data Analytics