Technology

Data Analytics


Description
Develop a fundamental grasp of data analytics. Learn key concepts, practical applications, and how to solve real-world business challenges with data-driven solutions.

Dive into the world of data-driven decision-making, from understanding its historical roots alongside the rise of technology and the statistical underpinnings to its practical applications.Through real-world case studies, you'll witness how data analytics revolutionizes businesses, solving tangible HR challenges. The course covers everything, from the foundational Data Analytics Continuum to advanced analytics techniques like machine learning and AI. Gain hands-on experience in crafting descriptive, diagnostic, predictive, and prescriptive analytics. Supercharge your career with the essential skills and knowledge this course provides.

Arvind Kaushik
Instructor, Caltech CTME

In this course, you will learn to:

  • Gain an introductory understanding of data analytics within a business context

  • Develop familiarity with the fundamental components of data analytics and begin applying key concepts in a practical context.

  • Identify common business challenges that can benefit from the application of data analytics

This is a four-hour, non-technical overview of key topics and their application in a business environment for the purpose of building familiarity and early subject literacy. Combine this course with others to comprehensively understand broad technological change affecting most industries. Each chapter takes about 20 minutes and ends with a two-question learning check focusing on topic recall and retention.

This short course is ideal for most business function personnel across the enterprise, including products and services, accounting, sales and marketing, operations, and supporting roles.

Content
  • Basics
  • Welcome!
  • Introduction
  • Course Outline
  • Summary Deck
  • Chapter 1: What is Data Analytics and how did it come into being
  • What is Data Analytics and How Did it Come into Being
  • Chapter 1: Knowledge Check
  • Articles
  • Chapter 2: The Data Analytics Continuum
  • The Data Analytics Continuum
  • Chapter 2: Knowledge Check
  • Articles
  • Chapter 3: Lifecycle of Data Analytics
  • Lifecycle of Data Analytics
  • Chapter 3: Knowledge Check
  • Articles
  • Chapter 4: An Example with Real Data - Descriptive and Diagnostic Analytics
  • An Example With Real Data - Descriptive and Diagnostic Analytics
  • Chapter 4: Knowledge Check
  • Articles
  • Chapter 5: An example with real data – predictive and prescriptive analytics
  • An Example with Real Data – Predictive and Prescriptive Analytics
  • Chapter 5: Knowledge Check
  • Articles
  • Chapter 6: Analytics in Finance
  • Analytics in Finance
  • Chapter 6: Knowledge Check
  • Articles
  • Chapter 7: Analytics in Customer Service
  • Analytics in Customer Service
  • Chapter 7: Knowledge Check
  • Article
  • Chapter 8: Analytics in Supply Chain
  • Analytics in Supply Chain
  • Chapter 8: Knowledge Check
  • Articles
  • Chapter 9: Data Analytics Wrap-up
  • Data Analytics Wrap-up
  • Chapter 9: Knowledge Check
  • Article
  • Final Completion
  • Final Quiz
Completion rules
  • All units must be completed