Java Programming Training Classes in Milwaukee, Wisconsin
Training Suggestions from the Experts

An Experienced Java developer must know
... everything or so it can seem. A solid grasp and knowledge of Object Oriented Programming constructs such as inheritance, polymorphism, interfaces and reflection are essential. Next in line is the knowldge to be able to import/export file data, running SQL queries, using regular expressions and, possibly, knowing how to write multi-threaded code and make socket connections. A class that addresses most of these topics is: Fast Track to Java 11 and OO Development.
For the more daring Java enthusiast and especially for those looking to become professional Java developers, knowledge of the Spring Framework is expected. A perfect class for this is: Fast Track to Spring Framework and Spring MVC/Rest. Not only does this course provide students with a great introduction to spring, it goes beyond the basics with a solid delve into Spring and web development.
Another consideration is learning JBoss aka Wildfly, the free Application Server from RedHat. JBoss has become the workhorse of most Java EE applications. Add to that a class on Tomcat, the defacto servlet engine, and the student can be considered 'ready' for employment.
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Learn Java Programming in Milwaukee, Wisconsin 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 Java Programming related training offerings in Milwaukee, Wisconsin: Java Programming Training
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30 June, 2025 - 1 July, 2025 - Linux Fundaments GL120
2 June, 2025 - 6 June, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN II
18 August, 2025 - 21 August, 2025 - RHCSA EXAM PREP
16 June, 2025 - 20 June, 2025 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
15 September, 2025 - 18 September, 2025 - See our complete public course listing
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Although reports made in May 2010 indicate that Android had outsold Apple iPhones, more recent and current reports of the 2nd quarter of 2011 made by National Purchase Diary (NPD) on Mobile Phone Track service, which listed the top five selling smartphones in the United States for the months of April-June of 2011, indicate that Apple's iPhone 4 and iPhone 3GS outsold other Android phones on the market in the U. S. for the third calendar quarter of 2011. This was true for the previous quarter of the same year; The iPhone 4 held the top spot. The fact that the iPhone 4 claimed top spot does not come as a surprise to the analysts; rather, it is a testament to them of how well the iPhone is revered among consumers. The iPhone 3GS, which came out in 2009 outsold newer Android phones with higher screen resolutions and more processing power. The list of the five top selling smartphones is depicted below:
- Apple iPhone 4
- Apple iPhone 3GS
- HTC EVO 4G
- Motorola Droid 3
- Samsung Intensity II[1]
Apple’s iPhone also outsold Android devices7.8:1 at AT&T’s corporate retail stores in December. A source inside the Apple company told The Mac Observer that those stores sold some 981,000 iPhones between December 1st and December 27th 2011, and that the Apple device accounted for some 66% of all device sales during that period (see the pie figure below) . Android devices, on the other hand, accounted for just 8.5% of sales during the same period.
According to the report, AT&T sold approximately 981,000 iPhones through AT&T corporate stores in the first 27 days of December, 2011 while 126,000 Android devices were sold during the same period. Even the basic flip and slider phones did better than Android, with 128,000 units sold.[2] However, it is important to understand that this is a report for one particular environment at a particular period in time. As the first iPhone carrier in the world, AT&T has been the dominant iPhone carrier in the U.S. since day one, and AT&T has consistently claimed that the iPhone is its best selling device.
Chart courtesy of Mac Observer: http://www.macobserver.com/tmo/article/iphone_crushes_android_at_att_corporate_stores_in_december/
A more recent report posted in ismashphone.com, dated January 25 2012, indicated that Apple sold 37 million iPhones in Q4 2011. It appears that the iPhone 4S really helped take Apple’s handset past competing Android phones. According to research firm Kantar Worldpanel ComTech, Apple’s U.S. smartphone marketshare has doubled to 44.9 percent.[3] Meanwhile, Android marketshare in the U.S. dropped slightly to 44.8 percent. This report means that the iPhone has edged just a little bit past Android in U.S. marketshare. This is occurred after Apple’s Q1 2012 conference call, which saw themselling 37 million handsets. Meanwhile, it’s reported that marketers of Android devices, such as Motorola Mobility, HTC and Sony Ericsson saw drops this quarter.
There has been and continues to be a plethora of observational studies by different researchers in the publishing industry focused on how e-books have affected hard-copy book sales. Evidence from these studies has indicated that there is a significant and monumental shift away from hard-copy books to e-books.[1]These findings precipitate fears that hard-copy books might become more expensive in the near future as they begin to be less available. This scenario could escalate to the point where only collectors of hard-copy books are willing to pay the high price for ownership.
The founder of Amazon, Jeff Bezos, made a statement in July 2010 that sales of digital books had significantly outstripped U.S. sales of hard-copy. He claimed that Amazon had sold 143 digital books for its e-reader, the Kindle, for every 100 hard-back books over the past three months. The pace of this change was unprecedented; Amazon said that in the four weeks of June 2010, the rate of sales had reached 180 e-books for every 100 hard-backs sold. Bezos said sales of the Kindle and e-books had reached a "tipping point", with five authors including Steig Larsson, the writer of Girl with a Dragon Tattoo, and Stephenie Meyer, who penned the Twilight series, each selling more than 500,000 digital books.[2] Earlier in July 2010, Hachette said that James Patterson had sold 1.1m e-books to date.
According to a report made by Publishers Weekly, for the first quarter of 2011, e-book sales were up 159.8%; netting sales of $233.1 million. Although adult hard-cover and mass market paperback hard-copies had continued to sell, posting gains in March, all the print segments had declined for the first quarter with the nine mass market houses that report sales. Their findings revealed a 23.4% sales decline, and that children’s paper-back publishers had also declined by 24.1%.[3] E-book sales easily out-distanced mass market paperback sales in the first quarter of 2011 with mass market sales of hard-copy books falling to $123.3 million compared to e-books’ $233.1 million in sales.
According to .net sales report by the March Association of American Publishers (AAP) which collected data and statistics from 1,189 publishers, the adult e-Book sales were $282.3 million in comparison to adult hard-cover book sales which counted $229.6 million during the first quarter of 2012. During the same period in 2011, eBooks revenues were $220.4 million.[4] These reports indicate a disconcerting diminishing demand for hard-copy books.
Python programming language is general purpose open source programming language. One of its main features is flexibility and ease of use. Python has a variety of useful set of utilities and libraries for data processing and analytical tasks. Currently due to the rise in demand of big data processing python has grown in popularity because its features are easy to use which are core to the processing of huge chunks of information.
Guido Van Rossum, the pioneer of python, introduced python in the year 1980 and then implemented it in 1989. The intention behind the development of python was to make it open source language that can also be used for commercial projects. The fundamental principle of python is to write the code that is easy to use, highly readable and embrace writing fewer lines of code for achieving a particular task. One of the most popular standard libraries which have ready to use tools for performing a various work is Python Package Index. It was introduced in January 2016 and contains more than 72,000 packages for third-party software usage.
Python plays a critical role in linking data to customers. Recently python has found few entry barriers and many people have had access to have experienced the power of python in the past. So, what makes python the best language for big data analytics?
One of the reasons to choose python is that python ecosystem is very vibrant, the ratings at Redmonk are a proof of the strength python community. The Redmonk ranking is based on StackOverflow discussions and contribution made in Github to determine the popularity of programming language on the method used by users to ask questions about Python and the number of the open source projects contributions.
Studying a functional programming language is a good way to discover new approaches to problems and different ways of thinking. Although functional programming has much in common with logic and imperative programming, it uses unique abstractions and a different toolset for solving problems. Likewise, many current mainstream languages are beginning to pick up and integrate various techniques and features from functional programming.
Many authorities feel that Haskell is a great introductory language for learning functional programming. However, there are various other possibilities, including Scheme, F#, Scala, Clojure, Erlang and others.
Haskell is widely recognized as a beautiful, concise and high-performing programming language. It is statically typed and supports various cool features that augment language expressivity, including currying and pattern matching. In addition to monads, the language support a type-class system based on methods; this enables higher encapsulation and abstraction. Advanced Haskell will require learning about combinators, lambda calculus and category theory. Haskell allows programmers to create extremely elegant solutions.
Scheme is another good learning language -- it has an extensive history in academia and a vast body of instructional documents. Based on the oldest functional language -- Lisp -- Scheme is actually very small and elegant. Studying Scheme will allow the programmer to master iteration and recursion, lambda functions and first-class functions, closures, and bottom-up design.
Supported by Microsoft and growing in popularity, F# is a multi-paradigm, functional-first programming language that derives from ML and incorporates features from numerous languages, including OCaml, Scala, Haskell and Erlang. F# is described as a functional language that also supports object-oriented and imperative techniques. It is a .NET family member. F# allows the programmer to create succinct, type-safe, expressive and efficient solutions. It excels at parallel I/O and parallel CPU programming, data-oriented programming, and algorithmic development.
Scala is a general-purpose programming and scripting language that is both functional and object-oriented. It has strong static types and supports numerous functional language techniques such as pattern matching, lazy evaluation, currying, algebraic types, immutability and tail recursion. Scala -- from "scalable language" -- enables coders to write extremely concise source code. The code is compiled into Java bytecode and executes on the ubiquitous JVM (Java virtual machine).
Like Scala, Clojure also runs on the Java virtual machine. Because it is based on Lisp, it treats code like data and supports macros. Clojure's immutability features and time-progression constructs enable the creation of robust multithreaded programs.
Erlang is a highly concurrent language and runtime. Initially created by Ericsson to enable real-time, fault-tolerant, distributed applications, Erlang code can be altered without halting the system. The language has a functional subset with single assignment, dynamic typing, and eager evaluation. Erlang has powerful explicit support for concurrent processes.
Tech Life in Wisconsin
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
We Energies | Milwaukee | Energy and Utilities | Gas and Electric Utilities |
Bemis Company, Inc. | Neenah | Manufacturing | Plastics and Rubber Manufacturing |
Regal Beloit Corporation | Beloit | Manufacturing | Tools, Hardware and Light Machinery |
Manitowoc Company, Inc | Manitowoc | Manufacturing | Heavy Machinery |
Briggs and Stratton Corporation | Milwaukee | Manufacturing | Tools, Hardware and Light Machinery |
Mortgage Guaranty Insurance Corporation (MGIC) | Milwaukee | Financial Services | Lending and Mortgage |
A.O. Smith Corporation | Milwaukee | Manufacturing | Tools, Hardware and Light Machinery |
Sentry Insurance | Stevens Point | Financial Services | Insurance and Risk Management |
Rockwell Automation, Inc. | Milwaukee | Manufacturing | Tools, Hardware and Light Machinery |
Bucyrus International, Inc. | South Milwaukee | Manufacturing | Heavy Machinery |
Diversey, Inc. | Sturtevant | Manufacturing | Chemicals and Petrochemicals |
Alliant Energy Corporation | Madison | Energy and Utilities | Gas and Electric Utilities |
Plexus Corp. | Neenah | Manufacturing | Manufacturing Other |
Spectrum Brands Holdings, Inc. | Madison | Manufacturing | Tools, Hardware and Light Machinery |
Kohl's Corporation | Menomonee Falls | Retail | Department Stores |
Snap-on Tools, Inc. | Kenosha | Manufacturing | Tools, Hardware and Light Machinery |
Fiserv, Inc. | Brookfield | Software and Internet | Data Analytics, Management and Storage |
CUNA Mutual Group | Madison | Financial Services | Insurance and Risk Management |
Oshkosh Corporation | Oshkosh | Manufacturing | Heavy Machinery |
Modine Manufacturing Company | Racine | Manufacturing | Manufacturing Other |
Northwestern Mutual Life Insurance Company | Milwaukee | Financial Services | Insurance and Risk Management |
Joy Global Inc. | Milwaukee | Manufacturing | Heavy Machinery |
Harley-Davidson, Inc. | Milwaukee | Manufacturing | Automobiles, Boats and Motor Vehicles |
American Family Insurance | Madison | Financial Services | Insurance and Risk Management |
Johnson Controls, Inc. | Milwaukee | Manufacturing | Heavy Machinery |
ManpowerGroup | Milwaukee | Business Services | HR and Recruiting Services |
training details locations, tags and why hsg
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.
- We have provided software development and other IT related training to many major corporations in Wisconsin since 2002.
- 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 Java Programming programming
- Get your questions answered by easy to follow, organized Java Programming experts
- Get up to speed with vital Java Programming 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…