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Introduction to Ethical Hacking
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Basic Statistics for Data Analytics
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Descriptive Statistics Fundamentals
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Probability 101
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Data Normalization & Outliers
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Data Preparation using Python
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Data Pre-processing using R
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Data Pre-processing using Python
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Data Mining 101
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Data Mining in R
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Telling Data Story - Visualization Basics
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Data Visualization with Python
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PowerBI for Data Analytics - PowerBI Essentials
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Introduction to Natural Language Processing (NLP)
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Deep Learning - Natural Language Processing (NLP)
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Introduction to Data Science - Data Science Techniques
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Supervised Machine Learning - Regression & Classification in Python
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Supervised Machine Learning - Regression & Classification in R
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Natural Language Processing - Text Mining
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Decision Tree Regression & Classification using Python
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Decision Tree Regression & Classification using R
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Unsupervised Machine Learning - K-Means Clustering
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Unsupervised Machine Learning - Association Rule Learning (APRIORI)
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Reinforcement Learning - Upper Confidence Bound (UCB)
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Overview of AWS Features and Architecture
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Getting Started with AWS Services
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Working with AWS Foundational Services
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Introduction to Serverless Applications
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API-Driven Development on AWS
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Deployment Pipeline Automation in AWS
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MLOps for Azure Machine Learning
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Introduction to AI on Azure
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Developing AI Apps with Cognitive Services
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Creating Language Understanding Solutions
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Azure Resource & Cost Management
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Azure Storage fundamentals
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Google Cloud Basics
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Overview of Kubernetes
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DevOps Fundamentals - What is DevOps
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OpenStack Administration - Part 1 - Keystone
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