Machine Learning with Python
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Machine learning technology to stay competitive
This comprehensive Machine Learning with Python program combines current machine learning techniques and practical Python programming skills to help working professionals gain a competitive edge.
Skills you will gain
- Mastery of essential machine learning concepts and algorithms
- Proficiency in Python programming for data analysis and ML applications
- Hands-on experience with real-world datasets and industry-relevant projects
- Skills in data visualization and interpretation of complex ML results
Bridge theoretical knowledge and practical application.
- Implement ML solutions to solve complex business problems
- Enhance decision-making processes with data-driven insights
- Develop innovative AI-powered applications
- Improve existing systems with advanced analytics and predictive modeling
Whether you're a software engineer, data analyst, or business professional, this program will equip you with the tools to leverage machine learning in your field. Boost your career prospects, drive innovation in your organization, and position yourself at the forefront of the AI revolution.
Learning Outcomes
Students who complete this program will be able to:
- Develop and deploy Python scripts for data manipulation, statistical analysis, and machine learning tasks
- Implement Python-based algorithms for machine learning applications, including regression, classification, clustering, and neural networks.
- Identify and formulate machine learning problems, applying both supervised and unsupervised learning techniques.
- Evaluate the performance of machine learning models using cross-validation and practical datasets, interpreting results to improve model accuracy and efficiency.
Program Overview
Estimated Cost: $1,995 (You pay only for courses you enroll in.)
Program Requirements: 6 unit | 2 required courses
Minimum Hours of Instruction: 60 hours of instruction
Estimated Duration: A full-time student can complete the certificate in 3-6 months.
Modality: You can complete this program fully online, in person, or choose a mix of course formats.
Special Programs: This program is approved for international students.
Courses
1. Required Courses: Complete the two courses below.
2. Completion Review:
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Requisite Knowledge
We recommend that you:
- Have reasonably good programming and debugging skills that are beyond the basic or beginner level.
- Are comfortable with basic knowledge of algebra, calculus, probability, and statistics.
