Data Analysis Fundamentals

At a glance

Date
-
Class Length
1.5 hours
Number of credits
0.5
Duration
6 weeks (live classes on Week 1 and 6)
Price
$350 USD
Format
Online
Certification
Certificate of Completion

Course Overview

Merge live online sessions with the convenience of self-directed learning for an introductory course focused on utilizing insights for informed decision-making.

Ideal for newcomers to the field, aiming to build foundational skills in business analytics and improve their strategic thinking and problem-solving abilities.

  • Develop your foundational skills in data analysis: Enhance your skills in analyzing complex business situations using relevant data.
  • Learn to craft compelling, insight-based solutions: Develop the ability to dynamically create evidence-based solutions for business-related challenges.
  • Gain insights from a diverse business community: Get an opportunity to discuss and share what you have studied with peers from different countries through weekly online events.

Course Content

Week 1

Develop a deeper understanding of how data fuels business success.

  • Live class (90 mins) *
  • Comprehension exercises (20 mins) *
  • Video lectures – basic theory and concepts (13 mins) *
  • Review and share (10 mins) *
  • Related videos

(*) Required components

Week 2

A step-by-step approach to problem-solving with data.

  • Comprehension exercises (45 mins) *
  • Video lectures – basic theory and concepts (13 mins) *
  • Video lectures – practical application (20 mins)*
  • Review and share (10 mins) *
  • Live group work (60 mins)
  • Related videos

(*) Required components

Week 3

Unveiling insights through visualization and quantitative analysis.

  • Comprehension exercises (45 mins) *
  • Video lectures – basic theory and concepts (21 mins) *
  • Video lectures – practical application (20 mins)*
  • Review and share (10 mins) *
  • Live group work (60 mins)
  • Related videos

(*) Required components

Week 4

Gathering data, evaluating hypotheses, and analyzing outcomes.

  • Comprehension exercises (45 mins) *
  • Video lectures – basic theory and concepts (10 mins) *
  • Video lectures – practical application (20 mins)*
  • Review and share (10 mins) *
  • Live group work (60 mins)
  • Related videos

(*) Required components

Week 5

Harness aggregated data for informed decision-making.

  • Comprehension exercises (45 mins) *
  • Video lectures – basic theory and concepts (30 mins) *
  • Video lectures – practical application (20 mins)*
  • Capstone case study (90 mins) *
  • Review and share (10 mins) *
  • Live group work (60 mins) *
  • Related videos

(*) Required components

Week 6

Putting it all together: applying the concepts to real-world scenarios.

  • Live class (90 mins) *
  • Comprehension exercises (20 mins) *
  • Review and share (10 mins) *
  • Live group work (60 mins)
  • Related videos

(*) Required components

Class Schedule

DurationLive ClassesTime
6 weeks
Start: January 18 (Mon)
End: February 28 (Sun)
  • January 23 (Sat)
  • February 27 (Sat) 
18:00 -19:30 PHT

Timeline

nano-MBA courses consist of live classes, group work, and a capstone case.

Six-week course schedule showing when each activity runs across Weeks 1 to 6.

Lecturer

Headshot of Rahul Bandyopadhyay

Rahul Bandyopadhyay

Rahul Bandyopadhyay leads global student recruitment for GLOBIS University’s MBA programs. In 2022, Rahul launched the English nano-MBA, GLOBIS’s microcredential program that combines live sessions with self-paced study enhanced by AI-driven feedback. With over a decade of experience in traditional and digital management education, Rahul brings a broad and innovative perspective to learner engagement and program growth. 

Before transitioning into education, Rahul began his career as a semiconductor researcher at Panasonic. At GLOBIS, he has played a key role in expanding the reach of the MBA programs, supporting their international growth and strengthening global recruitment strategies. Rahul is also a graduate of GLOBIS University. 

Education: 

MBA, Graduate School of Management, GLOBIS University
BEng, Electrical and Electronic Engineering, Akita University

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