This course aids in effectively
teaching the tools and frameworks needed to translate raw business data into
actionable insights that drive informed decision-making.
Helps to explore specific
strategies for keeping learners, who often come with diverse backgrounds and
experiences, engaged and motivated in a business analytics setting.
The course equips instructors with
methods to integrate core business concepts like marketing, finance, and
operations into your business analytics instruction.
Focuses on how to effectively teach
students, how to present complex data in a clear, concise, and visually
compelling way using charts, graphs, and other data visualization tools.
This course emphasizes methods to
cultivate critical thinking skills in students, enabling them to analyze data
objectively, identify patterns, and draw sound conclusions.
| Course Status : | Completed |
| Course Type : | Core |
| Language for course content : | English |
| Duration : | 8 weeks |
| Category : |
|
| Credit Points : | 3 |
| Level : | Continuing Education |
| Start Date : | 15 Jul 2024 |
| End Date : | 31 Oct 2024 |
| Enrollment Ends : | 31 Aug 2024 |
| Exam Date : | 08 Dec 2024 IST |
| Exam Shift : | Shift-1 |
Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.
|
swayam@nitttrc.edu.in, swayam@nitttrc.ac.in
Week
1: Introduction to Business Analytics Pedagogy
·
What is Pedagogy?
·
Adult Learning Theory and its
Application to Business Analytics Education
·
The Evolving Landscape of Business
Analytics and its Impact on Teaching
Week
2: Designing Engaging Learning Activities
·
Active Learning Strategies for Business
Analytics Education
·
Integrating Real-World Data and Case
Studies into the Curriculum
·
Technology-Enhanced Learning Activities
for Business Analytics
Week
3: Assessment Strategies for Business Analytics Courses
·
Aligning Assessment with Learning
Objectives in Business Analytics Courses
·
Developing Effective Assessment Tools
·
Providing Constructive Feedback to
Business Analytics Students
Week
4: Fostering Critical Thinking and Problem-Solving Skills in Business Analytics
·
Integrating Critical Thinking Frameworks
into Business Analytics Education
·
Developing Problem-Solving Exercises
using Real-World Business Scenarios
·
Encouraging Students to Ask Questions,
Challenge Assumptions, and Draw Data-Driven Conclusions
Week
5: Communication Skills for Business Analysts
·
The Importance of Effective
Communication in Business Analytics
·
Strategies for Presenting Data Insights
Clearly and Concisely
·
Writing Technical Reports and Building
Compelling Data Visualizations
Week
6: Integrating Technology for Business Analytics Instruction
·
Utilizing Technology Tools for Data
Analysis, Visualization, and Collaboration
·
Finding and Evaluating Online Resources
for Business Analytics Education
·
Ethical Considerations of Technology Use
in Business Analytics Education
Week
7: Building a Strong Learning Environment for Business Analytics
·
Creating a Positive and Inclusive
Classroom Environment for Business Analytics Students
·
Fostering Collaboration and Teamwork
Skills in Business Analytics Education
·
Strategies for Supporting Diverse
Learners in Business Analytics Courses
Week
8: The Future of Business Analytics Education
·
Emerging Trends in Business Analytics:
Implications for Teaching
·
Designing Business Analytics Courses for
the Future Workforce
·
Continuous Learning and Professional
Development for Business Analytics Educators
1.
Vowels, S., Leaming
Goldberg, K. (2019). Teaching Data Analytics: Pedagogy and
Program Design. United States: CRC Press.
2.
Perspectives on
Learning Analytics for Maximizing Student Outcomes. (2023). United
States: IGI Global.
3.
Advancing the Power of
Learning Analytics and Big Data in Education. (2021). United
States: IGI Global.
4.
Pinder, J. P. (2022). Introduction
to Business Analytics Using Simulation. Netherlands: Elsevier
Science.
5.
Analytics and Data
Science: Advances in Research and
Pedagogy. (2017). Germany: Springer International Publishing.
6.
6. Schniederjans, M., Schniederjans, M.,
Schniederjans, D., Starkey, C. (2014). Business Analytics Principles, Concepts,
and Applications with SAS: What, Why, and How. United Kingdom: Pearson
Education.
7.
7. Perspectives on Learning Analytics for
Maximizing Student Outcomes. (2023). United States: IGI Global.
Dr.
P. Jakulin Divya Mary works as Assistant Professor at the
Centre for Rural and Entrepreneurship Development, NITTTR, Chennai. Possessing
a decade of experience in academics, research and outreach activities, she has
qualified UGC – NET. She is an Engineering graduate (B.Tech. – IT) with MBA and
Ph.D. (Management). She has presented papers at various International
Conferences conducted at Harvard Medical School, USA; Asia Pacific University
of Technology and Innovation, Malaysia; McGill University and Ryerson
University, Canada; Indian Institute of Management, Kozhikode, India. Her
research areas include, Emotional Intelligence, Organisational Citizenship
Behaviour, Employee Job performance, Emotional labour – among nurses, rural and
entrepreneurship development, digital marketing, marketing automation,
healthcare entrepreneurship. Some of the awards and fellowship received by her
are Maulana Azad National fellowship by University Grants Commission, India;
Anna University rank holder in MBA; Best paper awards.
"The SWAYAM Course Enrolment and
learning is free. However, to obtain a certificate, the learner must register
and take the proctored exam in person at one of the designated exam centres.
The registration URL will be announced by NTA once the registration form
becomes available. To receive the certification, you need to complete the
online registration form and pay the examination fee. Additional details,
including any updates, will be provided upon the publication of the exam
registration form. For more information about the exam locations and the terms
associated with completing the form, please refer to the form itself."
Grading Policy:
- Internal Assignment Score: This
accounts for 30% of the final grade and is calculated based on the average of
the best three assignments out of all the assignments given in the course.
- Final Proctored Exam Score: This makes
up 70% of the final grade and is derived from the proctored exam score out of
100.
- Final Score: The final score is the
sum of the average assignment score and the exam score.
Eligibility for Certification:
- To qualify for a certificate, you must
achieve an average assignment score of at least 10 out of 30, and an exam score
of at least 30 out of 70. If one of the 2 criteria is not met, you will not get
the certificate even if the Final score >=40/100.
Certificate Details:
- The certificate will include your
name, photograph, roll number, and the percentage score from the final exam. It
will also feature the logos of the Ministry of Education, SWAYAM, and NITTTR.
- Certificate Format: Only electronic
certificates (e-certificates) will be issued; hard copies will not be
dispatched.
Once again, thanks for your interest in
our online courses and certification. Happy Learning.
*********
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