Data Science on Azure
Build and deploy data science and machine-learning solutions using Azure services, Databricks, and Power BI.
Get Course Info
Audience: Developers / Architects
Duration: 4 days
Format: Lectures and hands-on labs (50% lecture, 50% lab)
Overview
Data Science spans statistics, visualization, exploration, and machine learning. Since Microsoft Azure is the second-largest cloud computing provider, knowledge of its Data Science capabilities is essential for building best-of-breed solutions. Azure's strength is in its usability and integration with the Microsoft stack. This course introduces ML with Python and R and dives into Azure's specific tools for data science.
Objective
Build and deploy data science and machine-learning solutions using Azure services, Databricks, and Power BI.
What You Will Learn
- R and Python data science fundamentals
- Azure Machine Learning and Data Science IDE
- Spark and Databricks runtime
- Machine Learning workflows
- Streaming analytics on Azure
Course Details
Audience: Developers / Architects
Duration: 4 days
Format: Lectures and hands-on labs (50% lecture, 50% lab)
- Interest in Machine Learning (overview included)
- Familiarity with Python or R is a plus
Setup: A modern laptop · Unrestricted Internet · Chrome browser · SSH client
Detailed Outline
- Machine Learning Concepts
- Machine Learning Approaches
- Supervised Learning
- Unsupervised Learning
- Machine Learning Life Cycle
- Machine Learning Languages and Platforms
- Installing RStudio, Installing Packages
- R Data Structure
- Vector, Factor, Lists, Data Frames
- R for Statistical Analysis
- R for Machine Learning
- R for Visualization
- Python IDE
- Install Packages
- Python for Statistical Summary
- Statistical Distribution
- Python for Visualization
- Python for Machine Learning
- Power BI
- Setting Up R in Power BI
- Writing R Code in Power BI
- R Features in Power BI
- Slice and Dice
- Edit R Code in RStudio
- Predictive Analysis in Power Query with R
- Neural Networks
- Decision Trees
- Automated Machine Learning Inside Power Query
- Databricks Environment
- Machine Learning on Databricks
- Linear Regression
- Logistic Regression
- SVN
- Decision Trees, Random Forests
- R in Azure Data Lake
- Azure Data Lake Environment
- Running R Scripts in U-SQL
- Azure Machine Learning Studio
- Event Hub
- Application
- Azure Stream Analytics
- Azure Machine Learning (ML) Workbench
- Deep Learning Tools with Cognitive Toolkit
Ready to Get Started?
Contact us to learn more about this course and schedule your training.