.NET Training Classes in Woodbury, Minnesota

Learn .NET in Woodbury, Minnesota and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current .NET related training offerings in Woodbury, Minnesota: .NET Training

We offer private customized training for groups of 3 or more attendees.
Woodbury  Upcoming Instructor Led Online and Public .NET Training Classes
.NET Framework Using C# Training/Class 20 January, 2020 - 23 January, 2020 $1890
HSG Training Center
Woodbury, Minnesota
Hartmann Software Group Training Registration
ASP.NET MVC 5 Using C# Training/Class 16 December, 2019 - 18 December, 2019 $1390
HSG Training Center
Woodbury, Minnesota
Hartmann Software Group Training Registration
ASP.NET Core MVC Training/Class 16 December, 2019 - 17 December, 2019 $790
HSG Training Center
Woodbury, Minnesota
Hartmann Software Group Training Registration
Object-Oriented Programming in C# Training/Class 16 March, 2020 - 20 March, 2020 $2090
HSG Training Center
Woodbury, Minnesota
Hartmann Software Group Training Registration
MCSA: WINDOWS SERVER 2016 BOOT CAMP Training/Class 16 December, 2019 - 24 December, 2019 $3200
HSG Training Center
Woodbury, Minnesota
Hartmann Software Group Training Registration
10961:Automating Administration with Windows PowerShell Training/Class 9 December, 2019 - 13 December, 2019 $2090
HSG Training Center
Woodbury, Minnesota
Hartmann Software Group Training Registration
MICROSOFT 365 CERTIFIED FUNDAMENTALS Training/Class 2 March, 2020 - 2 March, 2020 $890
HSG Training Center
Woodbury, Minnesota
Hartmann Software Group Training Registration

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cost: $ 790length: 2 day(s)
cost: $ 990length: 2 day(s)

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Blog Entries publications that: entertain, make you think, offer insight

Data has always been important to business. While it wasn't long ago that businesses kept minimal information on people who bought their products, nowadays companies keep vast amounts of data. In the late 20th century, marketers began to take demographics seriously. It was hard to keep track of so much information without the help of computers.

Only large companies in the '60s and '70s could afford the research necessary to deliver real marketing insight. The marketers of yesteryear relied upon focus groups and expensive experiments to gauge consumer behavior in a controlled environment. Today even the smallest of companies can have access to a rich array of real-world data about their consumers' behavior and their consumers. The amount of data that is stored today dwarfs the data of only a few years ago by several orders of magnitude.

So what kind of information are businesses storing for marketing purposes? Some examples include:

- Demographic information — age, gender, ethnicity, education, occupation and various other individual characteristics.

Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.

The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention. 

Impact on Existing and Emerging Markets

The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations. 

General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.

Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent. 

Emerging markets and industries

By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.

Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.

A warning

Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.

A business rule is the basic unit of rule processing in a Business Rule Management System (BRMS) and, as such, requires a fundamental understanding. Rules consist of a set of actions and a set of conditions whereby actions are the consequences of each condition statement being satisfied or true. With rare exception, conditions test the property values of objects taken from an object model which itself is gleaned from a Data Dictionary and UML diagrams. See my article on Data Dictionaries for a better understanding on this subject matter.

A simple rule takes the form:

if condition(s)

then actions.

An alternative form includes an else statement where alternate actions are executed in the event that the conditions in the if statement are not satisfied:

if condition(s)

then actions

else alternate_actions

It is not considered a best prectice to write rules via nested if-then-else statements as they tend to be difficult to understand, hard to maintain and even harder to extend as the depth of these statements increases; in other words, adding if statements within a then clause makes it especially hard to determine which if statement was executed when looking at a bucket of rules. Moreoever, how can we determine whether the if or the else statement was satisfied without having to read the rule itself. Rules such as these are often organized into simple rule statements and provided with a name so that when reviewing rule execution logs one can determine which rule fired and not worry about whether the if or else statement was satisfied. Another limitation of this type of rule processing is that it does not take full advantage of rule inferencing and may have a negative performance impact on the Rete engine execution. Take a class with HSG and find out why.

Rule Conditions

It’s befuddling when you think about how many ways there are to communicate in 2013. I’d say there are too many new ways to communicate – social media, phone, Skype, instant message, text message, email, it goes on and on. But do any of them outweigh the power of a good old-fashioned face-to-face meeting? Most business executives would argue no. Nothing can replace a face-to-face meeting, at least yet.

 

That said, face-to-face meetings are without question the most expensive kind, given the travel costs required to make them a reality, and companies around the globe have been trying to make them more financially manageable ever since the recession set in. But recession or no, face-to-face meetings are rarely in the budget cards for small businesses. So how can entrepreneurs around the globe get more out of their virtual meetings while ensuring any physical meeting is worth the cost?

  

Tech Life in Minnesota

Minnesota is one of the healthiest states, and has a highly rate of literacy. The state supports a network of public universities and colleges. It encompasses thirty two institutions in the Minnesota State Colleges and Universities System, as well as five major campuses of the University of Minnesota. According to U.S. News & World Report six of the private colleges rank among the nation's top 100 in liberal arts.
Opportunity is missed by most people because it is dressed in overalls and looks like work. ? Thomas Edison
other Learning Options
Software developers near Woodbury have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in Minnesota that offer opportunities for .NET developers
Company Name City Industry Secondary Industry
The Affluent Traveler Saint Paul Travel, Recreation and Leisure Travel, Recreation, and Leisure Other
Xcel Energy Inc. Minneapolis Energy and Utilities Gas and Electric Utilities
Thrivent Financial for Lutherans Minneapolis Financial Services Personal Financial Planning and Private Banking
CHS Inc. Inver Grove Heights Agriculture and Mining Agriculture and Mining Other
Hormel Foods Corporation Austin Manufacturing Food and Dairy Product Manufacturing and Packaging
St. Jude Medical, Inc. Saint Paul Healthcare, Pharmaceuticals and Biotech Medical Devices
The Mosaic Company Minneapolis Agriculture and Mining Mining and Quarrying
Ecolab Inc. Saint Paul Manufacturing Chemicals and Petrochemicals
Donaldson Company, Inc. Minneapolis Manufacturing Tools, Hardware and Light Machinery
Michael Foods, Inc. Minnetonka Manufacturing Food and Dairy Product Manufacturing and Packaging
Regis Corporation Minneapolis Retail Retail Other
Fastenal Company Winona Wholesale and Distribution Wholesale and Distribution Other
Securian Financial Saint Paul Financial Services Insurance and Risk Management
UnitedHealth Group Minnetonka Financial Services Insurance and Risk Management
The Travelers Companies, Inc. Saint Paul Financial Services Insurance and Risk Management
Imation Corp. Saint Paul Computers and Electronics Networking Equipment and Systems
C.H. Robinson Worldwide, Inc. Eden Prairie Transportation and Storage Warehousing and Storage
Ameriprise Financial, Inc. Minneapolis Financial Services Securities Agents and Brokers
Best Buy Co. Inc. Minneapolis Retail Retail Other
Nash Finch Company Minneapolis Wholesale and Distribution Grocery and Food Wholesalers
Medtronic, Inc. Minneapolis Healthcare, Pharmaceuticals and Biotech Medical Devices
LAND O'LAKES, INC. Saint Paul Manufacturing Food and Dairy Product Manufacturing and Packaging
General Mills, Inc. Minneapolis Manufacturing Food and Dairy Product Manufacturing and Packaging
Pentair, Inc. Minneapolis Manufacturing Manufacturing Other
Supervalu Inc. Eden Prairie Retail Grocery and Specialty Food Stores
U.S. Bancorp Minneapolis Financial Services Banks
Target Corporation, Inc. Minneapolis Retail Department Stores
3M Company Saint Paul Manufacturing Chemicals and Petrochemicals

training details locations, tags and why hsg

the hartmann software group advantage
A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:

  • Learn from the experts.
    1. We have provided software development and other IT related training to many major corporations in Minnesota since 2002.
    2. Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
  • Discover tips and tricks about .NET programming
  • Get your questions answered by easy to follow, organized .NET experts
  • Get up to speed with vital .NET programming tools
  • Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
  • Prepare to hit the ground running for a new job or a new position
  • See the big picture and have the instructor fill in the gaps
  • We teach with sophisticated learning tools and provide excellent supporting course material
  • Books and course material are provided in advance
  • Get a book of your choice from the HSG Store as a gift from us when you register for a class
  • Gain a lot of practical skills in a short amount of time
  • We teach what we know…software
  • We care…
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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.