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Introduction to Data Analytics for Business

A powerful and concise analytics primer that teaches how real-world data flows into business action, complete with SQL basics—perfect as your first step into business analytics.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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.

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  • 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.

9.7Expert Score
Highly Recommendedx
A concise and practical introduction to business analytics that builds strong analytical thinking around data lifecycle and SQL. Ideal for beginners aiming to enter analytics with confidence in under a week.
Value
9.5
Price
9.3
Skills
9.8
Information
9.7
PROS
  • Clear introduction to analytical workflows and real business structures.
  • Hands-on exposure to SQL and practical use of relational databases.
  • Excellent foundation for deeper exploration through the broader Advanced Business Analytics Specialization.
CONS
  • Limited hands-on practice—more conceptual than data-heavy.
  • Best suited as a foundation—doesn’t delve into statistical or predictive modeling deeply.

Specification: Introduction to Data Analytics for Business

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

FAQs

  • No prior analytics or coding experience required.
  • Designed for beginners in business analytics.
  • Introduces data concepts, SQL basics, and analytical thinking.
  • Emphasizes understanding data flow into business decisions.
  • Suitable for students, professionals, and aspiring analysts.
  • Analytical thinking using the Information–Action Value Chain.
  • Understanding relational databases and SQL queries.
  • Awareness of data quality, governance, and privacy.
  • Familiarity with data source systems and extraction techniques.
  • Foundation for further business analytics specializations.
  • Module 1: Data and Analysis in the Real World (~2 hours).
  • Module 2: Analytical Tools (~2 hours).
  • Module 3: Data Extraction Using SQL (~1 hour).
  • Module 4: Real-World Analytical Organizations (~2–3 hours).
  • Each module includes videos, readings, quizzes, assignments, and discussions.
  • Prepares for roles in business analytics, operations, reporting, and data-driven strategy.
  • Builds foundational skills needed for consulting and data-driven decision-making.
  • Offers stepping stones for advanced analytics tools and specializations.
  • Enhances employability in analytics-focused business roles.
  • Provides practical knowledge for interpreting and acting on real-world data.
  • Total duration: ~7–8 hours.
  • Flexible, self-paced learning; complete in under a week at a few hours per day.
  • Includes quizzes and hands-on SQL exercises.
  • Allows learners to progress at their own speed.
  • Provides lifetime access to course materials for review.
Introduction to Data Analytics for Business
Introduction to Data Analytics for Business
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