Microsoft is offering a FREE program to become a Certified
- Data Analyst
- Data Engineer
- Data Scientist
No Payment & No Pre-requisites required:
1) Get started with data engineering on Azure
In this Module you will learn integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
link:
learn.microsoft.com/en-us/training…
2) Build data analytics solutions using Azure Synapse serverless SQL pools
This course will enables you to apply the SQL skills you use in a relational database to files in a data lake.
link:
learn.microsoft.com/en-us/training…
3) Perform data engineering with Azure Synapse Apache Spark Pools
Apache Spark is a highly scalable distributed processing solution for big data analytics and transformation. You can leverage its power in Azure Synapse Analytics by using Spark pools.
link:
learn.microsoft.com/en-us/training…
4) Get started with Microsoft data analytics
you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made.
link:
learn.microsoft.com/en-us/training…
5) Prepare data for analysis with Power BI
You'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.
link:
learn.microsoft.com/en-us/training…
6) Model data with Power BI
Learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.
link:
learn.microsoft.com/en-us/training…
7) Explore and configure the Azure Machine Learning workspace
Throughout this learning path you explore and configure the Azure Machine Learning workspace.
link:
learn.microsoft.com/en-us/training…
8) Work with data in Azure Machine Learning
Learn how to work with data in Azure Machine Learning. Whether you want to access data in notebooks or scripts, you can read data directly, through datastores, or data assets.
link:
learn.microsoft.com/en-us/training…
9) Experiment with Azure Machine Learning
Learn how to find the best model with automated machine learning (AutoML) and by experimenting in notebooks.
link:
learn.microsoft.com/en-us/training…
That's a wrap
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