This introduction to analytics course covers the fundamentals of analytics, including Business Analytics. Business Analytics is the practice of analyzing data to make data-driven decisions in a business context. One example of this is Amazon Recommendation, where data is used to recommend products to customers. The spectrum of analytics is divided into four categories: descriptive, diagnostic, predictive, and prescriptive analytics. Descriptive analytics describes what happened in the past, while diagnostic analytics helps to identify why it happened. Predictive analytics uses data to predict what might happen in the future, and prescriptive analytics recommends actions to achieve a specific outcome. Check out our PG Course in Machine learning Today.
Overview
Syllabus
- What is Business Analytics
- This module introduces business analytics, defining its role and importance in transforming data into actionable insights for strategic business decisions.
- Examples of Data Analytics
- This module covers real-world examples of analytics, such as the Amazon recommendation system, to illustrate practical applications of data-driven decision-making.
- What Constitutes Analytics
- This module focuses on the core components of analytics, breaking down the essential elements that form the foundation of any analytical process.
- Amazon Recommendation
- This module explores the mechanics behind recommendation systems, using the Amazon model to detail how data is used to predict customer preferences.
- Spectrum of Analytics
- This module teaches the spectrum of analytics, differentiating between descriptive, diagnostic, predictive, and prescriptive analytics and their applications.
- Descriptive Analytics
- This module covers descriptive analytics, explaining how to use historical data to understand what has happened in the past.
- Diagnostic, Predictive and Prescriptive Analytics
- This module focuses on advanced analytics, detailing how to identify causes, predict future outcomes, and recommend optimal actions.
- Data Science vs. Data Analytics
- This module clarifies the distinction between Data Science and Data Analytics, outlining the unique focus and skill sets of each field.
- Data Analytics using ChatGPT with Excel and Python
- This module introduces modern tools, demonstrating how to leverage ChatGPT, Excel, and Python for practical data analytics tasks.
Taught by
Mr. Rounak Dholakia
