Virtual IEEE OC-CS & OC ACM Tutorial "Data Science in Action using Python"
Expected Outcomes:
* Design data science engagement using a defined methodology
* Understand data sources and prepare data sets using Python
* Prototype Data and AI-driven modeling techniques in Python
With the explosive growth of data in unstructured data, we have ample opportunities to design, develop and deploy AI models. The objective of this course is to get you an introductory coding experience in data science. Our data science workshop is designed for someone with Excel, SQL, or similar background with limited or no exposure to Python. The course uses a public cloud-based Python development environment.
This boot camp introduces our 7 steps data science methodology and uses Python to explain each step using a real-life use case example.
Hour 1:
- Set up environment and access datasets
- Hands-on exercise:
Step 1: Describe Use Case to explain the selected use case for data science work
Step 2: Describe Data in data sets using Python.
Hour 2:
- Overview of data preparation and modeling
Step 3: Prepare Datasets using Python.
Step 4: Develop a Model using Python.
Hour 3:
- Overview of:
Step 5: Evaluate your AI Model Results using Python.
Step 6: Deploy Model exploring options – no hands-on.
Step 7: Monitor model - process for continuous monitoring – no hands-on
About the Instructors
Dr. Arvind Sathi is the Director of AI Literacy at KPMG and a faculty member with University of California where he teaches courses on AI and Analytics. Dr. Sathi received his Ph.D. in Artificial Intelligence from Carnegie Mellon University and worked under Nobel Prize-winner Dr. Herbert A. Simon. Dr. Sathi is a seasoned professional with leadership in Artificial Intelligence and Data Science solution development and delivery. Dr. Sathi was a pioneer in developing AI solutions at Carnegie Group (a Carnegie Mellon startup), leading to its successful public offering as a profitable AI company. At KPMG / Bearingpoint, he led the practices for Intelligent Process Automation, Enterprise Integration, & Analytics. At IBM, Dr. Sathi has led several AI and Data Science programs involving IBM products from IBM Watson, and Cloud business units, and has provided technical oversight to IBM’s strategic accounts. He has also delivered numerous workshops and presentations at industry conferences on technical subjects and holds four patents in information technology. He has published four books on analytics - Cognitive (Internet of) Things, Engaging Customers Using Big Data, Big Data Analytics, Customer Experience Analytics. He has also been a contributing author in a number of Data Governance books written by Sunil Soares and has published an article series on Advanced Analytics for IBM Developer Works.
Neena Sathi is a principal at Applied AI Institute. She has 30 + years of experience envisioning, designing, developing, and implementing AI solutions associated with enhancing customer experience, back-office automation, and risk and compliance for many Fortune 100 organizations. She has worked in senior technical positions at the Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.
Neena has three master's degrees including MBAs from leading US universities. She is a Master certified integration architect from IBM and Open Group as well as a certified Project management professional (PMP) from the Project management institute. She is also certified in many Cloud and Cognitive technologies. She has presented widely and published many papers in AAAI, IEEE, WCF, ECF, IBM Information on Demand, IBM Insight, World of Watson, IBM Developer Works, and various academic journals.
This will be a ZOOM Tutorial/Webinar. Instructions:
1) Register usinng the External Event link below, including paying the $20 fee via PayPal.
2) Upon completion, and on the same page as the registration, you will get a link to the meeting. [You can also add it to your calendar.]
3) Click on this link to open the tutorial/webinar.
Date and Time
Location
Hosts
Registration
- Date: 17 Apr 2021
- Time: 12:00 PM to 03:00 PM
- All times are (GMT-08:00) US/Pacific
- Add Event to Calendar
- Contact Event Hosts
- Co-sponsored by OC ACM
Agenda
12:00 PM (Noon) Greetings and Tutorial
3:00 PM Adjourned