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How to Become A Data Scientist Using Azure Machine Learning – Udemy

(10 customer reviews)

$15

Description

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.

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.

Course content

  • An Introduction to Data Science
  • Azure Machine Learning
  • Introduction to Statistical and Machine Learning Algorithms
  • Creating A Simple Binary Classification Model
  • Building A Simple Targeted Marketing Campaign
  • Conclusion

10 reviews for How to Become A Data Scientist Using Azure Machine Learning – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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