What will you learn in Introduction to Data Analytics for Business Course
Understand how real-world events turn into business actions through analytics.
Learn the Information–Action Value Chain to frame analytical thinking.
Recognize different types of data source systems and how they’re captured.
Gain familiarity with relational databases and SQL queries to extract insights.
Discover roles involved in data analytics, and essential concepts like data quality, governance, and privacy.
Program Overview
Module 1: Data and Analysis in the Real World
Duration: ~2 hours
Topics: Think analytically using the Information-Action Value Chain; learn how data is captured and stored, including relational databases and SQL basics.
Hands-on: Watch videos and complete readings; take the assignment and participate in discussion prompts
Module 2: Analytical Tools
Duration: ~2 hours
Topics: Explore analytical tools—relational databases, Big Data, cloud technologies, and data virtualization techniques.
Hands-on: Engage with video lectures, readings, assignments, and discussion activities
Module 3: Data Extraction Using SQL
Duration: ~1 hour
Topics: Learn to use SQL for querying and merging data from relational databases using commands and subqueries.
Hands-on: Watch module videos and complete the associated quiz/assignment
Module 4: Real-World Analytical Organizations
Duration: ~2–3 hours
Topics: Understand roles, structures, and governance in data-driven organizations, including data quality, privacy, and team workflows
Hands-on: Participate in videos, readings, quizzes, assignments, and discussions
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Job Outlook
Equips you for roles in Business Analytics, Operations, Reporting, or Data-Driven Strategy.
Builds foundational skills sought-after in business and consulting roles.
Offers a stepping stone into data analytics specializations and advanced tools later.
Positions with such expertise can range in India from ₹5–10 LPA, or globally around $60,000–$100,000 USD, depending on experience and location.
Specification: Introduction to Data Analytics for Business
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