Data Analytics Using Python
CSE-41204
Data Analytics Using Python
In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques.
Key topics:
- Installing Python/Jupyter/IPython on Windows and Mac
- Python Basics (variables, strings, simple math, conditional logic, for loops, lists, tuples, dictionaries, etc.)
- Using the Pandas library to manipulate data (filtering and sorting data, combining files, GroupBy, etc.)
- Plotting data in Python using Matplotlib and Seaborn
- Logistic Regression using Scikit-Learn
- Classification and Regression Metrics
- Decision Trees using Scikit-Learn
- Random Forests (Scikit-Learn)
- Clustering Algorithms (K-Means, Hierarchical Clustering)
Practical experience:
- Hands on programming assignments that are reviewed weekly via screen sharing videos
- Student's will be tasked to complete a final project, utilizing skills learned throughout the course
Course typically offered: Online, quarterly.
Currently offering two sections, online and Live Online.
Software: Students will use Python to complete hands-on assignments. These tools are free and open-source.
Prerequisites: Prior knowledge of the Python language is required for this course. Students should have completed Intro to Programming (Python) or Crash Course in Python for Data Analytics (CSE-41386) or have equivalent knowledge before taking this course.
Next steps: After completion of this course, students are encouraged to consider taking additional coursework in the Machine Learning Methods or Python Programming certificates.
Contact: For more information about this course, please contact unex-techdata@ucsd.edu.
Course Information
Course sessions
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
All course materials are included unless otherwise stated.
Policies:
- No refunds after: 10/7/2024
Schedule:
Instructor:
Shivakumar Mathapathi
Shivakumar has over 25 years of experience in product development, design and faculty. Mathapathi is a seasoned technologist, instructor and practitioner on the Internet of Things (IoT) with extensive experience as lead faculty, lab-practice and mentorship in executing smart city, smart agriculture, assisted living, and other IoT related projects. He has designed study programs and academic syllabi for the IoT course, a master’s curriculum taught at Santa Clara University and California Polytechnic State University. Shivakumar managed a senior design team to design and develop the IoT cloud platform for smart city.
Shivakumar contributed to build the ecosystem and establish innovation pathways for the “OpenIoT” project, a blueprint and awarded Open Source project in the Internet of Things for smart Cities sponsored by the European commission.
Shivakumar is also a team lead for Global City Team Challenge (GCTC) project hosted by the National Institute of Standards and Technology (NIST) under the Department of Commerce, USA. GCTC team comprises of Sonoma State University, Santa Clara University, City of San Leandro, City of Galway (Ireland) and City of Rohnert Park, CA.
He has designed an IoT development kit (Patent pending). The Kit enables design proof of concept (PoC) for IoT application. The kit consists of various sensors i.e. Temperature, Humidity, Air quality (CO2), Light, pressure and Gas sensors.
Education:
- MS - Northcentral University, California
- Proficiency course from Indian Institute of Science, Bangalore
- Graduate - Electronics and Telecommunication Engineering - IETE, New Delhi
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
All course materials are included unless otherwise stated.
Policies:
- No refunds after: 1/20/2025
Schedule:
Instructor:
Shivakumar Mathapathi
Shivakumar has over 25 years of experience in product development, design and faculty. Mathapathi is a seasoned technologist, instructor and practitioner on the Internet of Things (IoT) with extensive experience as lead faculty, lab-practice and mentorship in executing smart city, smart agriculture, assisted living, and other IoT related projects. He has designed study programs and academic syllabi for the IoT course, a master’s curriculum taught at Santa Clara University and California Polytechnic State University. Shivakumar managed a senior design team to design and develop the IoT cloud platform for smart city.
Shivakumar contributed to build the ecosystem and establish innovation pathways for the “OpenIoT” project, a blueprint and awarded Open Source project in the Internet of Things for smart Cities sponsored by the European commission.
Shivakumar is also a team lead for Global City Team Challenge (GCTC) project hosted by the National Institute of Standards and Technology (NIST) under the Department of Commerce, USA. GCTC team comprises of Sonoma State University, Santa Clara University, City of San Leandro, City of Galway (Ireland) and City of Rohnert Park, CA.
He has designed an IoT development kit (Patent pending). The Kit enables design proof of concept (PoC) for IoT application. The kit consists of various sensors i.e. Temperature, Humidity, Air quality (CO2), Light, pressure and Gas sensors.
Education:
- MS - Northcentral University, California
- Proficiency course from Indian Institute of Science, Bangalore
- Graduate - Electronics and Telecommunication Engineering - IETE, New Delhi
