"Success is walking from failure to failure with no loss of enthusiasm." Winston Churchill

Tracks:

• Data Science
• Artificial Intelligence
• Big Data
• AutoML

https://docs.microsoft.com/en-us/learn/roles/data-scientist

https://azure.microsoft.com/en-us/overview/ai-platform/data-scientist-resources/

https://azure.microsoft.com/en-us/overview/ai-platform/dev-resources/

https://docs.microsoft.com/en-us/azure/architecture/

https://docs.microsoft.com/en-gb/azure/open-datasets/
https://github.com/Azure/OpenDatasetsNotebooks/

https://github.com/caiomsouza/ml-open-datasets
https://github.com/awesomedata/awesome-public-datasets

https://github.com/dslp/dslp

https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/lifecycle

Data Science
Opportunities for data scientists—one of today's hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed. Companies hire data scientists to find insights and to solve meaningful business problems.

Microsoft Professional Program for Data Science
https://academy.microsoft.com/en-US/professional-program/tracks/data-science/

Technologies you will use to gain your skills:
T-SQL, Microsoft Excel, Power BI, Python, R, Azure Machine Learning, HDInsight, Spark

Artificial Intelligence
Artificial Intelligence (AI) will define the next generation of software solutions. Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app.

Microsoft Professional Program for Artificial Intelligence
https://academy.microsoft.com/en-US/professional-program/tracks/artificial-intelligence/

Technologies you will use to gain your skills:
Python, Math Ethics, Data Analysis, Azure Machine Learning, Computer Vision, Natural Language Processing, Speech Recognition

Big Data
Learn how to build big data solutions for batch and real-time stream processing using Azure managed services and open source systems like Hadoop and Spark. This curriculum will teach you the skills required to capture, process, and analyse data for today’s data-driven world.

Microsoft Professional Program for Big Data
https://academy.microsoft.com/en-US/professional-program/tracks/big-data/

Technologies you will use to gain your skills:
Azure Data Lake, Hadoop, HDInsight, Spark, Azure data factory, Azure Stream Analytics

Perform Cloud Data Science with Azure Machine Learning
https://www.microsoft.com/en-us/learning/exam-70-774.aspx

MCSA: Machine Learning
https://www.microsoft.com/en-us/learning/mcsa-machine-learning.aspx

Building a Modern Data Warehouse on Microsoft Azure with Azure HDInsight and Azure Databricks
https://www.youtube.com/watch?v=w40JF_Qu5Nw

The Azure Data Box family lets you transfer hundreds of terabytes of data to Azure in a quick, inexpensive, and reliable manner. Use the Data Box devices for offline data transfer when you are limited by time, network, or cost. https://docs.microsoft.com/en-us/azure/databox/

https://docs.microsoft.com/en-us/azure/architecture/framework/

https://cli.github.com/