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Coursera - Data Analysis with Python Specialization
Last updated 5/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 24 Lessons ( 4h 31m ) | 545 MB
What you'll learn
Describe and define the fundamental concepts and techniques used in Data Analysis. Identify the appropriate techniques to apply.
Compare and contrast different Data Analysis techniques, including Classification, Regression, Clustering, Dimension Reduction, and Association Rules
Design and implement effective Data Analysis workflows, including data preprocessing, feature selection, and model selection
Skills you'll gain
Data Clustering Algorithms
Dimensionality Reduction
K-Means Clustering
Principal Component Analysis (PCA)
Dbscan
Ensemble Learning
Linear Regression
Cross Validation
regression
Scikit-Learn
Bayesian Statistics
Logistic Regression
Support Vector Machine (SVM)
classification
Decision Tree
Unsupervised Learning
Machine Learning
Supervised Learning
Project Planning
Data Mining
Association Rule Learning
Outlier
Apriori
Frequent Patterns
FP Growth
