Data Science and Machine Learning
Build data science and machine learning expertise using Python through practical exercises that mirror industry challenges and solutions.
Build data science and machine learning expertise using Python through practical exercises that mirror industry challenges and solutions.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science and Machine Learning Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Build and evaluate machine learning models with Python
Master regression analysis and decision tree techniques
Develop expertise in handling real-world datasets
Learn to identify and prevent data bias issues
Gain practical experience with Python data science libraries
Skills you'll gain
This course includes:
PreRecorded video
2 courses
Access on Mobile, Desktop, Tablet
FullTime access
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There are 2 modules in this course
This comprehensive professional certificate program combines data science fundamentals with machine learning applications. Students learn to develop and evaluate machine learning models while understanding crucial concepts like data bias, underfitting, and overfitting. The curriculum covers essential topics including regression models, decision trees, and random forests. Through hands-on projects with real-world data, participants gain practical experience using popular Python libraries and implementing advanced data science solutions.
Fee Structure
Payment options
Financial Aid
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