Microsoft Cloud Workshop: Big Data & Visualization (MS-40502)
To forecast travel delays provided flight delay information and environmental conditions, complete a web application utilizing Machine Learning. Plan the import operation of large amounts of data, accompanied by planning, like manipulating and cleaning the test data, and preparing the Machine Learning model.
Virtual
Learning Style
Microsoft
Provider
Intermediate
Difficulty
1 Day
Course Duration
1
SATV Value
Course Info
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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To forecast travel delays provided flight delay information and environmental conditions, complete a web application utilizing Machine Learning. Plan the import operation of large amounts of data, accompanied by planning, like manipulating and cleaning the test data, and preparing the Machine Learning model.
Course Information
About this course:
To forecast travel delays provided flight delay information and environmental conditions, complete a web application utilizing Machine Learning. Plan the import operation of large amounts of data, accompanied by planning, like manipulating and cleaning the test data, and preparing the Machine Learning model.
The average income for an MS Azure skilled Solutions Developer is $620,244 per annum.
Course Objective:
Participants will be well able to develop a complete Azure ML system to forecast if there will be disruptions in a coming flight. Participants will also discover how to:
· Batch data analysis for SQL Database
· Integrate the Azure Machine Learning web service for both one at a time and batch forecasts into a Web Application
· Using Power BI to show batch forecasts on a map
Audience:
This online training program is designed for IT professionals and Cloud Architects who have solutions design and infrastructure architecture experience in cloud technology and want to know more about Azure and its services as defined in the ' At Course Completion ' and ' About this Course ' areas. Anyone taking this training should also be trained in other cloud technologies other than MS, fulfill the preconditions of the program, and want to cross-train on Azure.
Prerequisite:
Lab layout presumes 300-level architectural skills of solutions design and infrastructure.
Suggested Prerequisite:
· Azure-Fundamentals
Career Path:
· Big Data
Outline
More Information
| Brand | Microsoft |
|---|---|
| Subjects | Big Data |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 1 Day |
| Language | English |
| SATV Value | 1 |
| VPA Discount | VPA Discount |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
