How to Become A Data Scientist Using Azure Machine Learning
What you'll learn
- Build an end to end Predictive Model In Azure Machine Learning Studio
- You'll gain a high level background in data science.
- You'll be able to effectively use Microsoft's AML service.
- Basic data skills and statistics would be helpful but this is an entry level course.
There can be little doubt that the single hottest career in the data field is the data scientist or BI developer skilled in predictive analytics.
Yes, Big Data is on everyone’s lips but what happens after that big data is ingested into a data lake?
The answer is predictive analytics.
Because we live in the big data era, machine learning has become much more popular in the last few years.
Having lots of data to work with in many different areas lets the techniques of machine learning be applied to a broader set of problems.
Data can hold secrets, especially if you have lots of it.
With lots of data about something, you can examine that data in intelligent ways to find patterns.
This is exactly what machine learning does: It examines large amounts of data looking for patterns, then generates code that lets you recognize those patterns in new data.
Your applications can use this generated code to make better predictions. In other words, machine learning can help you create smarter applications.
Azure Machine Learning (Azure ML) is a cloud service that helps people execute the machine learning process.
As its name suggests, it runs on Microsoft Azure, a public cloud platform.
Because of this, Azure ML can work with very large amounts of data and be accessed from anywhere in the world. Using it requires just a web browser and an internet connection.
In this course you will be learning and building predictive algorithms using Azure Machine Learning Studio.
At the end of this course you’ll be able to build and evaluate a binary classification predictive model without authoring a single line of code
You’ll build an Experiment for a targeted email campaigned and be able to tell what customers should receive flyers and those that shouldn’t.
Thanks for reading about Azure Machine Learning Studio and I’ll see you in the course.
Who this course is for:
- This course is for developers, business analysts and any data professional who want to learn the foundation of data mining.
I'm the founder of LogikBot. I've worked at Microsoft and Uber. I helped design courses for Microsoft's Data Science Certifications. If you're interested in machine learning, I can help.
I've worked with databases for over two decades. I've worked for or consulted with over 50 different companies as a full time employee or consultant. Fortune 500 as well as several small to mid-size companies. Some include: Georgia Pacific, SunTrust, Reed Construction Data, Building Systems Design, NetCertainty, The Home Shopping Network, SwingVote, Atlanta Gas and Light and Northrup Grumman.
Over the last five years I've transitioned to the exciting world of applied machine learning. I'm excited to show you what I've learned and help you move into one of the single most important fields in this space.
Experience, education and passion
I learn something almost every day. I work with insanely smart people. I'm a voracious learner of all things SQL Server and I'm passionate about sharing what I've learned. My area of concentration is performance tuning. SQL Server is like an exotic sports car, it will run just fine in anyone's hands but put it in the hands of skilled tuner and it will perform like a race car.
Certifications are like college degrees, they are a great starting points to begin learning. I'm a Microsoft Certified Database Administrator (MCDBA), Microsoft Certified System Engineer (MCSE) and Microsoft Certified Trainer (MCT).
Born in Ohio, raised and educated in Pennsylvania, I currently reside in Atlanta with my wife and two children.