Course Title: Data Science and Advanced Analytics with Microsoft Technologies
From 1 to 7 days (Lecture + Labs): depends on the modules you enroll.
In-Person or Online: Check the schedule of upcoming courses.
Type of training:
Public or private (contact us for more details)
The well-known worldwide training in Microsoft Advanced Analytics field on the planet from one to seven days of training delivered by the well-known experts and MVPs, authors of books, and speakers of many conferences themselves. In this training course, you will learn some basic concepts for Machine Learning, Predictive and Descriptive analytics. You learn how to write R codes for the aim of data wrangling, data modeling, data visualization, and machine learning. Moreover, you will learn how to use custom AI tools like Azure Machine learning for creating your desire model, deploy it and use it as web service in other applications and scenarios like the Internet of Things (IoT). You will learn about how to use R in a dashboard, how to R in the cloud and on-premises storage. You will learn how to use pre-build AI tools like Bot and cognitive services to create smart report and applications. Expect learning best practices with great scenarios in this course. This course is designed in separate modules based on the type of audience. If you are a data scientist, data analyst, business intelligence developer, or data architect, this course has many things to teach you all.
This course is delivered to thousands of people all around the world, check out only a few of the recommendations at the bottom of this page, and check some of our clients.
Instructor: Dr. Leila Etaati
Our trainer is the world well-known name in the Microsoft Data Science field. Leila Etaati is Microsoft AI, and Data Platform (Most Valuable Professional) focused on AI and BI Microsoft technologies; Microsoft has awarded her MVP because of her dedication and expertise in Microsoft BI technologies from 2016 till now, she is one of two AI MVP in Australia and New Zealand. She is a speaker in world’s best and biggest Microsoft Data Platform, BI and Power BI, AI conferences such as Microsoft Ignite, Microsoft Business Applications Summit, Microsoft Data Insight Summit, PASS Summits, PASS Rallys, SQLBits, TechEds, and so on. She is the author of some books on this topic, and she has more than 11 years’ experience in the Microsoft BI technologies and Data science. Leila is the co-founder of RADACAD and a consultant for more than seven years.
Advanced Analytics with Microsoft Technologies
This is the most comprehensive course for Microsoft Advanced Analytics and Data Science on the planet which split into modules. You can enroll in any of these modules separately or take the whole course. Modules designed independently, which means each module can be taken regardless of the order of modules. Here are a list and detailed agenda of each module:
- Module 1: Power BI for Data Scientists (2 days)
- Module 2: Data Science with Microsoft Cloud (2-days)
- Module 3: Advanced Data Science with Microsoft Services (2-days)
- Module 4: AI and Cognitive Services in Applications (1-day)
Module 4: AI and Cognitive Services in Applications -1-day course
In this one-day training, the audience will get familiar with some AI tools available in Microsoft such as cognitive services, Bot framework, AI websites and so forth.
The main specifications of these tools are that there is no need to write R or python codes for the aim of machine learning.
In this one-day training audience will learn how to set up these AI tools in Azure, and how to use some of the cool AI websites like custom vision, QnA and so forth.
The training includes but not limited to topics below:
4.1: Cognitive Services
Microsoft Cognitive Services (formerly Project Oxford) are a set of APIs, SDKs and services available to developers to make their applications more intelligent, engaging and discoverable. Microsoft Cognitive Services expands on Microsoft’s evolving portfolio of machine learning APIs and enables developers to easily add intelligent features – such as emotion and video detection; facial, speech and vision recognition; and speech and language understanding – into their applications. In this section, below item will be explained
- How to set up Cognitive services in Azure Portal
- Using cognitive services for text analytics such as sentiment analytics, keyword extraction and topic extraction in Power BI
- How to use cognitive services for handwriting detection and face recognition
4.2: Bot Framework
Azure Bot Service speeds up development by providing an integrated environment that’s purpose-built for bot development with the Microsoft Bot Framework connectors and BotBuilder SDKs. Developers can get started in seconds with out-of-the-box templates for scenarios including basic, form, language understanding, question and answer, and proactive bots.
- How to set up the bot framework
- How to use a bot for creating form and altering it in a .Net application
- How to create Bot for the Question and Answer and embed it in Power BI or website
- How to set up QnA
4.3: Application with Cognitive Service
There is a possibility to create an application in combination with Cognitive services. The audience will learn how to create a Face recognition API in .Net application for identifying the age, emotion, and so forth. Also, some more explanation of how to use Microsoft flow for creating a process to apply the cognitive services on the data. The process of how to set up the Flow using a template or to use a blank flow will be explained.
- How to set up cognitive services for face recognition
- Application C# for creating a web app
- What is Microsoft Flow and how to use it
- How to apply cognitive service on Twitter data
4.4: Create Model in Azure ML than in Power BI and Stream Analytics
There is a possibility to create a model in Azure, create an API out of it, then use it in Stream analytics for applying machine learning in live data will be explained. Moreover, how to use that model in Power BI also will be explained briefly.
- Create a model in Azure ML Studio and a web service out of that
- How to apply Azure ML API on a streamed data
- How to use the created API on a dataset in Power BI
Our Power BI in-person training will be held in high-quality venues with the recommendation for hotel bookings for attendees. There will be special group rating fee as well as early bird and past attendees discount. for the schedule of our in-person training follow this link:
We run online training with GoToWebinar and GoToTraining applications. These applications provide a highly reliable communication channel between instructor and attendees. For the schedule of our online training follow this link:
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Check Schedule of upcoming events here
Check cancellation policies and rates here
What others say about the training and trainer
Kenny McMillan, Sports Physiologist / Data Analyst, Frankfurt, Germany:
I attended RADACADs “Advanced Analytics” course recently in Frankfurt in May 2017. Being a regular user of Power BI (with a science background ) the course was extremely helpful in showing me how to incorporate R data visualizations into Power BI dashboards and for introducing me to machine learning using the Microsoft ML Studio. Leila is an excellent and extremely knowledgeable instructor and explained complex data analytical concepts and methodologies in an easy-to-understand manner. I thoroughly recommend this course to anyone who wants to expand their data analytical skills and knowledge.
Martin Catherall (Microsoft Data Platform MVP):
As part of SQL Saturday Auckland 2016 I attended an “Analytics with Power BI and R.” pre-con with Leila. Leila took the class’s knowledge from rudimentary to competent in a day. We first looked at R, the language and the software. Once these skills were obtained we started to look at Power BI and the integration that it has with R. We worked through a few examples and Leila answered all of the class’s questions and offered to provide supplementary material for some of the more advanced questions. I left the class feeling that my R and Power BI knowledge was at a competent level and ready to dive into some of the more advanced material that Leila provided.
Cancellation up to 5 weeks before the event: full refund minus administration fee ($50) and credit-card processing fees (if applicable).
Cancellation from 5 weeks to 2 weeks before the event: 50% cancellation charge, 50% refund
Cancellation from 2 weeks before the event: 100% cancellation charge, 0% refunded.
Transfer fee to another event date* (up to 2 weeks before the event): 25% of the standard price of the event to transfer
Transfer fee to another event date* (from 2 weeks to 1 day before the event): 40% of the standard price of the event to transfer
Transfer fee at the day of event*: 60% of the standard price of the event to transfer
*transfer can be done only once, and it can be only transferred to another date not later than 6 months from the original event.
No fee will be refunded for no show.