This interactive course aims to equip students with an in-depth comprehension of data science principles and methodologies, with a strong emphasis on practical applications. Participants will develop tangible skills and hands-on experience in utilizing data science methods to derive significant insights from varied datasets. Encompassing topics such as data analysis, data engineering, machine learning, data visualization, and business analytics, the course primes students for real-world challenges across diverse industries.
.
Course Learning Highlights:
- Python Programming - Data Science Libraries
- Data Analysis - Pandas for Python, Exploratory Data Analysis (EDA) techniques
- Data Visualization - Visualization tools and techniques, Matplotlib and Seaborn
- Data Engineering - Tools and techniques
- Machine Learning - Supervised Learning and unsupervised learning, Model evaluation and hyperparameter tuning
- Business Analytics - Descriptive analytics, Predictive analytics, Healthcare analytics, Improving decision-making skills
Course Learning Outcomes:
- Learn to apply statistical methods to address a variety of real-world problems
- Manipulate extensive datasets to prepare them for thorough data analysis
- Evaluate data visualizations based on their design effectiveness
- Learn to analyze data using different techniques and algorithms
- Implement algorithms in real-world scenarios, refine obtained models, and report on predicted accuracy using these models
Software: Anaconda Navigator will be used
Hardware: A computer with a multi-core processor, with 16GB RAM memory and minimum 512GB SSD of storage
Course Typically Offered: Online in Summer and Winter
Prerequisite: Previous knowledge of Python, Calculus I, Linear Algebra and Statistics or equivalent is required before taking this course
Next Steps: Upon completion, consider additional coursework in our specialized certificate in
Machine Learning Methods to continue learning
Contact: For more information about this course, please contact
unex-techdata@ucsd.edu
Course Number: CSE-41401
Credit: 3.00 unit(s)
+ Expand All
-
4/2/2024 - 6/1/2024
$795
Online
-
-
-
CLASS TYPE:
Online Asynchronous.
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.
Narayanasamy, Ganesan
Ganesh Narayanasmy holds a Masters degree in Computer Science and is Global Technology Enablement award winner. He in is a global leader in academia and research. He is a Founder and Investor in Technology Businesses. As a senior leader at IBM for almost three decades, Ganesan is well-known for his contributions to chip design, artificial intelligence, and high-performance computing. He has led the WW Academia team for OpenPOWER chip to Solutions stack and organized the development of the OpenPOWER Ecosystem, which includes AI/ML/Cloud solutions, establishing centers of excellence for AI and Chip Design labs, Industry Hubs, and Technology labs, among other initiatives. Ganesan is always enthusiastic about collaborating on the development of creative solutions utilizing cutting...Read More
-
TEXTBOOKS:
No information available at this time.
-
POLICIES:
No refunds after: 4/8/2024.
-
4/2/2024 - 6/1/2024
extensioncanvas.ucsd.edu
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or unex-sciencetech@ucsd.edu for information about when this course will be offered again.