Data Driven TV is on the air. This podcast is where the best minds in Data Science, Machine Learning, and Artificial Intelligence get together to discuss…. well their drive for data. Listen in here.
So are you interested in Data Science but not sure where to start? Here’s a breakdown of a few steps and resources to help you gain a foundation to pursue your studies or undergo a career change into the trending and lucrative field of Data Science.
This coming Wednesday, April 19 at 8AM Pacific Time (click for your local time), Microsoft will be hosting a major on-line event of interest to anyone working with big data, analytics, and artificial intelligence: Microsoft Data Amp.
During Data Amp, Executive Vice President Scott Guthrie and Corporate Vice President Joseph Sirosh will share how Microsoft’s latest innovations put data, analytics and artificial intelligence at the heart of business transformation. The event will include exciting announcements that will help you derive even more value from the cloud, enable transformative application development, and ensure you can capitalize on intelligence from any data, any size, anywhere, across Linux and other open source technologies.
Click here for my interview with Microsoft Learning on planning for the future and steps people can take to prepare for an unpredictable industry. We are now in the Age of Disruption. every industry needs to be ready to adapt to change quicker and quicker. Those who can not adapt will not survive. For those in the IT industry, that change is happening at an even quicker pace. You can no longer be an expert on the same product for 10-15 years. If you are not learning and moving forward, you are losing ground.
I am happy to announce that I will be delivering not one but two exam prep sessions at the MCT Summit in March. The prep sessions will be for exams 70-473: Cloud Data Platform and 70-475: Big Data and Analytics Solutions. Don’t miss these and many more awesome sessions, register now: www.namctsummit.com
If you know much about me, you know I struggle with mathematics. I am more of a history and science person. However, I do try to work on my math skills when I am able, especially when it comes to Machine Learning. So I was excited to find this blog post on the math behind machine learning algorithms and some links on learning those algorithms. The author lists what he believes is the minimum math knowledge needed for Machine Learning. And again, if you know me, learning the minimum amount of math sounds good.
I’m kind of upset by this, because I actually paid for three of these books already. But that means there are 47 more I can read. It seems the selection leans towards Machine Learning. Click here for the entire list.
Keeping up with changes to the Cloud Data Platform is very difficult as changes happen all the time. Fortunately, Microsoft now has a Cloud Platform Roadmap to show what they are working on and what will be coming down the road. I’m really starting to like this open and transparent version of Microsoft. You can check out the roadmap here.
One of the interesting things about participating in a beta program is that not all the bugs are figured out. For those who participated in the three month accelerated data science program that finished on August 26, 2016, we finally received our certificates today. I have no idea what the significance of the November date on the certificate means, but I am just happy to be a Charter Member of the Microsoft Professional Program. Believe me, it was not easy. If you would like to participate in the program, you can sign up here.
I am very excited to be helping others learn new technologies and asisst them in earning new certifications. On January 19, 2017, I will be delivering two exam prep session at the Microsoft Tech Summit in Chicago. The first is for the 70-473: Cloud Data Platform exam and the second session is for the 70-475: Big Data and Analytics Solutions. Click on the appropriate link if you would like to download the powerpoint presentations.
During the session I focus on Microsoft websites, however, if you have a Pluralsight account I would recommend the following video sessions to study for the exams. For the 70-473 exam: SQL Azure by Scott Seely, SQL Server 2016 New Features by Leonard Lobel, Implement Storage for Azure by Tim Warner, and Practical SQL Server HA/DR by Russ Thomas. For the 70-475 exam: Start with the 70-473 videos and then add Applying the Lambda Architecture by Ahmad Alkilani, HDInsight Deep Dive with Elton Stoneman, and Real World Big Data in Azure by Elton Stoneman.
Would you like to know how to build big data and advanced analytics solutions? This course from Microsoft Virtual Academy is a great starting point. Learn features and capabilities of the Microsoft cloud data platform that can help you build solutions using big data and analytics.
Opportunities for data scientists are rapidly growing in response to the exponential amounts of data being captured and analyzed. Companies hire data scientists to find insights and to solve meaningful business problems. Get the real-world knowledge and hands-on experience that can help you succeed in one of these new jobs. Prove that you have what it takes in the Microsoft Professional Program.Enrollment for the next Data Science Program starts on December 16th. https://lnkd.in/gnBkFKM
Are you a data scientist that is being asked to speak or is it just part of your work? Do you also use slides for your presentations? If so, join us in this webinar on November 15, 2016. You are about to learn the algorithm that you need to follow in order to be able to create truly effective slides. Slides that will not only help you convey your message better, but slides that will also help you differentiate as a speaker too. No, this is not a talk for designers. This is a talk for you – the data scientist.
R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Actionable business data is often stored in Relational Database Management Systems (RDBMS), and one of the most widely used RDBMS is Microsoft SQL Server. Find out more with the availability of a new free ebook, Data Science with Microsoft SQL Server 2016,
If you get the chance, go over to Hall C2 and get your Spark 360 picture. And then on your way back, stop by Microsoft Theater 7 at noon where Rachel Jones and myself will be on the graduate panel discussing our experiences in the Microsoft Data Science Professional Program.
Recently at the World Partner Conference in Toronto, Alison Cunard unveiled the Microsoft Professional Degree (MPD) program. Fortunately for myself, over the last three months I have been able to participate in the curriculum preview of Microsoft’s new endeavor as they try to help narrow the skills gap in the computer science industry. Find out more about my Deep Dive into Data Science.
Whenever I am teaching a database class it seems I always get the question of what is the most popular Relational Database Management Systems (RDBMS). I always refer to the DB-Engine Ranking monthly trend website. The problem is I keep forgetting where the website is located. So for myself and for my students I am putting a link here. So I have it as a quick resource. As you can see, Oracle, MySQL, and SQL Server lead the group by a wide margin. With 14 of the top 25, RDBMS still seems to be the ruler of databases.
Now that it has been publicly announced. I have been working on the accelerated pilot program for Microsoft’s Professional Degree Program in Data Science these last two months. I still have one class and a capstone project left to finish it up. Very excited to be a part of this demanding program.
In-depth Introduction to Machine Learning in 15 hours of expert videos from Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook).If you are new to machine learning or a newer R user, I highly recommend getting the available free PDF download from the authors’ website to gain both a theoretical and practical understanding of many important methods for regression and classification.
Hear from Microsoft Engineers and customer experts on how you can build data driven intelligent solutions, on-premises and in the cloud, with R, Python, Hadoop,and Spark that will drive new and exciting services at the two days at the Data Science Summit that coincides with Microsoft Ignite in September. I am definitely going to try and catch a few of these sessions.