Launch your career in Data Science & Data Analysis. By mastering the skills and techniques covered in these courses, students will be better equipped to handle the challenges of real-world data analysis.

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

https://www.coursera.org/specializations/data-analysis-python

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