• Introduction to Python
  Installing and setting up Python
  Popular Python Libraries and Tools
  NumPy
  Pandas
  Variables and data types
  Operators and expressions
  Control structures (if/else, loops)
  Functions
  Object-Oriented Programming (OOP) in Python
  Introduction to OOP concepts
  Classes and objects

       Inheritance and polymorphism 

      Jupyter Notebooks 

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• Data Science with Python & R Scipting
  Data cleaning and manipulation, data visualization, and machine learning using
  Python libraries such as Pandas, Matplotlib, Seaborn, and Scikit-learn.
  Understand data science concepts such as data cleaning and manipulation, data visualization, and   machine learning
  Gain experience using popular Python libraries for data science
  Write Python code to solve real-world data science problems

       Basic operations in R 

       Variables, Booleans, operations and integers in R  

       Data Structures in R  

       Functions in R 

       Operators in R 

       Conditional Statements in R  

        Implicit Control Flow in R  

        Plotting in R  

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• Create machine learning models

        Explore and analyze data with Python

        Train and evaluate regression models

        Train and evaluate classification models

        Train and evaluate clustering models

        Train and evaluate deep learning models

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• Microsoft Azure AI Fundamentals: Explore visual tools for machine learning
  Use Automated Machine Learning in Azure Machine Learning
  Create a regression model with Azure Machine Learning designer
  Create a classification model with Azure Machine Learning designer 

       Create a clustering model with Azure Machine Learning designer

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• Build and operate machine learning solutions with Azure Machine Learning
  Introduction to the Azure Machine Learning SDK
  Train a machine learning model with Azure Machine Learning

       Work with Data in Azure Machine Learning

       Work with Compute in Azure Machine Learning
       Orchestrate machine learning with pipelines

       Deploy real-time machine learning services with Azure Machine Learning

       Deploy batch inference pipelines with Azure Machine Learning

       Tune hyperparameters with Azure Machine Learning

       Automate machine learning model selection with Azure Machine Learning

       Explore differential privacy

       Explain machine learning models with Azure Machine Learning

       Detect and mitigate unfairness in models with Azure Machine Learning

       Monitor models with Azure Machine Learning

       Monitor data drift with Azure Machine Learning

       Explore security concepts in Azure Machine Learning

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• Build and operate machine learning solutions with Azure Databricks
  Get started with Azure Databricks
  Work with data in Azure Databricks
  Prepare data for machine learning with Azure Databricks

       Train a machine learning model with Azure Databricks

       Use MLflow to track experiments in Azure Databricks

       Manage machine learning models in Azure Databricks

       Track Azure Databricks experiments in Azure Machine Learning

       Deploy Azure Databricks models in Azure Machine Learning

       Tune hyperparameters with Azure Databricks

       Distributed deep learning with Horovod and Azure Databricks

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• Microsoft DP-100 Certification exam prep