MBA 8020 (Data Visualization) *Data Scientist Track*
Fall 2023 Updated on Aug 14, 2023
Section 3 (CRN: 92565): Thursdays 6:00 pm - 8:30 pm
Office Hours Link Saber Soleymani (instructor) firstname.lastname@example.org Mondays 2:00 - 3:00 pm Webex Meetings Sai Roopesh Mandava (Teaching Assistant) email@example.com Thursday 2:00 - 3:00 pm
The Analytics Experience allows students to work on real-world problems and apply analytical techniques to answer diverse questions. The course provides an overview of current challenges and solutions in data analytics. Given a business situation and data, students will learn how to solve a problem and acquire insight from data with techniques they have learned.
By the end of the course, students should be able to:
- Explain descriptive, exploratory, predictive, and prescriptive data analysis.
- Explain various data structures and their use cases.
- Explain ETL (Extract, Transform, Load) techniques, challenges, and solutions.
- Explore, visualize, and modify structured datasets.
- Identify the appropriate type of analysis based on the problem.
- Describe the process of building supervised predictive models.
- Paczkowski, Walter R. Business Analytics: Data Science for Business Problems. Springer Nature, 2022.
- Wes McKinney Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter. O’Reilly Media, 2022. Available here
Note: This course does not require the purchase of a textbook.
|10/12||Week 1||Online||Course Introduction, Data Taxonomy, & Python basics|
|10/19||Week 2||In-person||Data Manipulation and Visualization with Python (part I)|
|10/26||Week 3||In-person||Data Manipulation and Visualization with Python (part II)|
|11/02||Week 4||Online||Interactive Visualizations (part I)|
|11/09||Week 5||In-person||Interactive Visualizations (part II)|
|11/16||Week 6||In-person||Specialized data visualization tools|
|11/30||Week 7||Online||Final Project Presentation|
|Reading 1||Due [Date] (before week 2)|
|Reading 2||Due [Date] (before week 5)|
|Final Group Project||On [Date] (week 7)|
|Bonus: Reading 3||Due [Date]|
The weekly schedule and deadlines are tenative and subject to change. Please check the updates on iCollege.
Letter Grade Breakdown
|A+ (97-100+)||B+ (87–89.4)||C+ (77–79.4)||D (59–69.4)|
|A (91–96.9)||B (83–86.9)||C (72–76.9)||F (0–59.9)|
|A- (89.5–90.9)||B- (79.5 –82.9)||C- (69.5 –71.9)|
|15||Reading Reflection 1|
|20||Reading Reflection 2|
|40||Final Group Project|
|10||Participation & Discussions|
|10||Bonus: Reading Reflection 3|
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Accommodations for Students with Disabilities
Students who wish to request accommodation for a disability may do so by registering with the Access and Accommodation Center. Students may only be accommodated upon issuance by the Access and Accommodation Center of a signed Accommodation Plan and are responsible for providing a copy of that plan to instructors of all classes in which accommodations are sought. Please note that accommodations are not retroactive and that students with accommodation plans should provide those to instructors at the beginning of each term.
Students are expected to attend all in-person and online classes to gain the full benefit of the course. However, missing one class without explanation is accepted for this course. If you are unable to attend a class, you need to study the materials of the class you missed and engage more in discussions in future classes. If you miss more than one class, you should explain the reason for your absence in the form at https://forms.gle/QrWT62pXTiFqqt8A8
The lowest quiz grade will be dropped. If you miss a quiz, that will be considered as your lowest grade. In case of an emergency, you should explain the reason in the form at https://forms.gle/QrWT62pXTiFqqt8A8 by selecting the “missing a class” option.
Assignments that are turned in late are subject to a late penalty. 20% deduction will be applied to the submission which is submitted late for up to 48 hours after the deadline. After 48 hours, you will automatically get Zero. If you have a valid reason for missing a deadline, you should explain the reason in the form at https://forms.gle/QrWT62pXTiFqqt8A8
As instructors can see more information about students and their enrolled sections, it is preferable to use iCollege’s messaging system rather than emails. For questions regarding grades, please email the TA and CC the instructor.
All work is expected to be your own for each exam, quiz, homework, and project. No collaboration is allowed unless otherwise stated in the instructions.
Academic Honesty Policy
We must abide by GSU’s Academic Honesty Policy.
Generative AI Policy
You are allowed to use generative AI tools to help with assignments for this course but only with the following conditions:
Attribution is necessary. You must identify the parts of your submissions (assignments, projects, etc.) that you generated using AI tools.
You should fully understand the generated content (including programming code) and be able to explain it to the instructor if asked.
Failure to comply with these conditions will be considered a violation of the Academic Honesty Policy.
Laptop & Technology Statement
You will need a computer to do the assignments. We will be using e-devices in different capacities in the class. Please make sure to silence your e-devices during the meetings.
Online Class Etiquette
- Treat each online session as if you were present in class.
- Mute your microphone when it is not in use.
- Identifying the speaker is sometimes difficult, especially when the screen is shared. Let others know your name whenever you start speaking.
The course syllabus provides a general plan for the course; deviations may be necessary. The syllabus may be updated throughout the course, so you should check iCollege to ensure you are reading the latest version. The instructor will send an announcement to the class if there has been a major change in the syllabus.
Your constructive assessment of this course plays an indispensable role in shaping education at Georgia State. Upon completing the course, please take the time to fill out the online course evaluation.