Data Analysis with Python Project
Coursera
24 Courses
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Overview
The "Data Analysis with Python Project" course offered by the University of Colorado Boulder and available on Coursera is a comprehensive program designed to empower students by applying the knowledge and skills acquired through this specialization. In this course, participants will be taken on an insightful journey starting from raw data processing to deriving knowledge and intelligence through various data analysis techniques.
Students will dive deep into both foundational and advanced areas of data analysis including supervised and unsupervised learning, regression, clustering, dimension reduction, association rules, and outlier detection. The curriculum is structured to not only provide theoretical insights but also hands-on experience through tutorials, practical exercises, and a capstone project focused on real-life data analysis.
By the end of this comprehensive course, participants will:
- Grasp fundamental and advanced concepts in data analysis across a wide spectrum of methodologies such as regression, classification, and clustering.
- Define and approach data analysis projects with appropriate strategies to meet their objectives, leveraging classification algorithms like Nearest Neighbors, Decision Trees, SVM, Naive Bayes, and Logistic Regression for predictive modeling.
- Enhance model performance using cross-validation and ensemble techniques and apply regression algorithms for numerical outcome prediction.
- Discover underlying patterns in data using clustering techniques and simplify data complexity through dimension reduction using PCA.
- Mine for association rules in transactional data with algorithms like Apriori and FPGrowth and identify outliers using various detection methods.
Participants completing this course will emerge proficient in data analysis, ready to apply their newly acquired expertise to a multitude of projects and make informed, data-driven decisions. This course is categorized under Python Courses, Data Analysis Courses, Supervised Learning, and Unsupervised Learning courses, making it perfect for individuals looking to sharpen their data analysis skills.
Syllabus
Taught by
Tags
Coursera
Coursera
1500 Courses
Coursera
Free Online Course (Audit)
English
18 hours
On-Demand
Intermediate
