Welcome!
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  (BONUS PREREQUISITE) The Fundamentals of SQL for Data Science
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  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Base Python
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  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Numpy
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  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Pandas
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  (BONUS PREREQUISITE) The Fundamentals of Python for Data Science: Matplotlib
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  An intuitive & fun adventure through Statistics for Data Science!
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  Introduction to Jupyter Notebook for Data Science
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  Introduction to Github for Data Science
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  Introducing ABC Grocery - our client in desperate need of Data Science expertise!
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  AB Testing - Theory & Application
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  Introduction to Machine Learning
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  Preparing & Cleaning Data for Machine Learning
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  Machine Learning for Regression Tasks
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  Linear Regression
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  Decision Trees for Regression (Regression Trees)
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  Random Forests for Regression
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  Machine Learning for Classification Tasks
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  Logistic Regression
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  Decision Trees for Classification (Classification Trees)
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  Random Forests for Classification
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  K-Nearest-Neighbours (KNN) for Classification
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  Advanced applications of scikit-learn
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  Unsupervised Learning: K-Means Clustering
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  Unsupervised Learning: Principal Component Analysis (PCA)
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  Unsupervised Learning: Association Rule Learning
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  Causal Impact Analysis
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  Machine Learning Model Deployment
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  Set yourself apart: The art of turning business problems into Data Science solutions
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  From Learning to Earning: A Framework for Success!
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  C.R.A.I.G - your system for tackling the Data Science hiring process!
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  Introduction To Deep Learning
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  Deep Learning - Artificial Neural Networks
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  Deep Learning - Convolutional Neural Networks
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  Deep Learning - Image Search Engine
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  DATA SCIENCE INFINITY Downloadable Resource Library
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