Microsoft Office Training Classes in Springfield, Illinois

Learn Microsoft Office in Springfield, Illinois 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 Microsoft Office related training offerings in Springfield, Illinois: Microsoft Office Training

We offer private customized training for groups of 3 or more attendees.
Springfield  Upcoming Instructor Led Online and Public Microsoft Office Training Classes
Microsoft Office Excel 2019: Part 1 Training/Class 9 November, 2020 - 9 November, 2020 $250
HSG Training Center
Springfield, Illinois
Hartmann Software Group Training Registration
Microsoft Office Excel 2019: Part 2 Training/Class 10 November, 2020 - 10 November, 2020 $250
HSG Training Center
Springfield, Illinois
Hartmann Software Group Training Registration
Microsoft Office Excel 2019: Part 3 Training/Class 12 November, 2020 - 12 November, 2020 $250
HSG Training Center
Springfield, Illinois
Hartmann Software Group Training Registration

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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.

As someone who works in many facets of the music industry, I used to seethe with a mixture of anger and jealousy when I would hear people in more “traditional” goods-based industries argue in favor of music content-based piracy. They made all the classic talking points, like “I wouldn’t spend money on this artist normally, and maybe if I like it I’ll spend money on them when they come to town” (which never happened), or “artists are rich and I’m poor, they don’t need my money” (rarely the case), or the worst, “if it were fairly priced and worth paying for, I’d buy it” (not true).  I always wondered if they’d have the same attitude if 63% of the things acquired by customers in their industries weren’t actually paid for, as was conservatively estimated as the case for the music industry in 2009 (other estimations put the figure of pirated music at 95%). Well, we may soon see the answer to curiosities like that. Though one can say with tentative confidence that music piracy is on the decline thanks to services like Spotify and Rdio, it could be looming on the horizon for the entire global, physical supply chain. Yes, I’m talking about 3d printers.

Before I get into the heart of this article, let me take a moment to make one thing clear: I think these machines are incredible. It’s damn near inspiring to think of even a few of their potentially world-changing applications: affordable, perfectly fit prosthetic limbs for wounded servicemen and women; the ability to create a piece of machinery on the spot instead of having to wait for a spare to arrive in the mail, or en route if your car or ship breaks down in a far away place; a company based out of Austin, TX even made a fully functioning firearm from a 3d printer a few months ago.

If these machines become as consumer-friendly and idiot-proof as possible (like computers), it’s possible that in a matter of decades (maybe less), a majority of U.S. households will have their own 3d printer. There’s also the possibility they could take the tech-hobbyist path, one that is much less appealing to the masses. Dale Dougherty of Makezine.com estimates there are currently around 100,000 “personal” 3d printers, or those not owned for business or educational purposes. I don’t think they’ll ever be as ubiquitous as computers, but there are plenty of mechanically inclined, crafty hobbyists out there who would love to play around with a 3d printer if it was affordable enough.

That being said, is there reason to worry about the economic implications of consumers making what they want, essentially for free, instead of paying someone else to produce it? Or will the printers instead be used for unique items more so than replicating and ripping off other companies’ merchandise in mass amounts? The number of people working in industries that would be affected by a development like this is far greater than the number of people who work in content-based industries, so any downturn would probably have a much larger economic implications. Certainly, those times are a ways off, but a little foresightedness never hurt anyone!

Writing Python in Java syntax is possible with a semi-automatic tool. Programming code translation tools pick up about 75% of dynamically typed language. Conversion of Python to a statically typed language like Java requires some manual translation. The modern Java IDE can be used to infer local variable type definitions for each class attribute and local variable.


Translation of Syntax
Both Python and Java are OO imperative languages with sizable syntax constructs. Python is larger, and more competent for functional programming concepts. Using the source translator tool, parsing of the original Python source language will allow for construction of an Abstract Source Tree (AST), followed by conversion of the AST to Java.

Python will parse itself. This capability is exhibited in the ast module, which includes skeleton classes. The latter can be expanded to parse and source each node of an AST. Extension of the ast.NodeVisitor class enables python syntax constructs to be customized using translate.py and parser.py coding structure.

The Concrete Syntax Tree (CST) for Java is based on visit to the AST. Java string templates can be output at AST nodes with visitor.py code. Comment blocks are not retained by the Python ast Parser. Conversion of Python to multi-line string constructs with the translator reduces time to script.


Scripting Python Type Inference in Java
Programmers using Python source know that the language does not contain type information. The fact that Python is a dynamic type language means object type is determined at run time. Python is also not enforced at compile time, as the source is not specified. Runtime type information of an object can be determined by inspecting the __class__.__name__ attribute.

Python’s inspect module is used for constructing profilers and debugging.
Implementation of def traceit (frame, event, arg) method in Python, and connecting it to the interpreter with sys.settrace (traceit) allows for integration of multiple events during application runtime.

Method call events prompt inspect and indexing of runtime type. Inspection of all method arguments can be conducted. By running the application profiler and exercising the code, captured trace files for each source file can be modified with the translator. Generating method syntax can be done with the translator by search and addition of type information. Results in set or returned variables disseminate the dynamic code in static taxonomy.

The final step in the Python to Java scrip integration is to administer unsupported concepts such as value object creation. There is also the task of porting library client code, for reproduction in Java equivalents. Java API stubs can be created to account for Python APIs. Once converted to Java the final clean-up of the script is far easier.

 

Related:

 What Are The 10 Most Famous Software Programs Written in Python?

Python, a Zen Poem

 
Technology is changing all the time, and the jobs that are associated with technology are changing as well. People that are looking at careers in technology will see some jobs that are being phased out as others increase in popularity. This means that people that are interested in tech jobs should be vigilant in researching those opportunities that are growing in demand.
 
A Dying Breed of Legacy Systems
 
The mainframe programmers i.e., COBOL, have been getting phased out for years, and are reaching retirement age. The demand for these skills are at an end of an era as more technology surfaces with needs for app development and cloud migration. These jobs will be phased out and are being replaced with developers that are knowledgeable in more object-oriented programming positions such as Java, C#, and etc. 
 
Programmers / Analysts
 
Professionals that work in software development, can find work in a number of different tech careers. People that know how to program, particularly in object oriented programming, can expect to be employed and in demand for some time to come. The salaries for programmers range from $50k – millions, depending on the skillsets one has mastered. Like any other profession, one can opt to learn just enough to get by or hone in on a discipline currently in demand and master it, such as data analysts, machine learning analyst and cloud migration specialists.  
 
 
Tech Support for Portable Devices
 
The healthcare industry is seeing a rise in jobs in Information Technology because more hospitals are going paperless. There is a great demand for people that have the ability to work with portable devices because this is what many doctors and nurses will be using as they move away from the long paper trail that has been created from patients. People that have the ability to configure and troubleshoot portable devices like tablets and phones are able to support the applications for these devices will be in high demand. In this case, learning programming languages such a C++ is the perfect route to go in. 
 
 
Technology Trainers 
 
There will always be a need for someone that can learn, utilize and teach proprietary programs to others. Internal proprietary technology will need to be updated which means that technology trainers are expected to be current in the knowledge base for  companies that are utilizing this software. People that are in the training field, will need to stay updated with new technology, grasp new concepts quickly and be able to teach it efficiently. As more companies take hold of proprietary programs, it becomes important for software application trainers to be put in place to teach this technology. 
 
Printer Support Jobs Dwindle
 
People that are working in the technology field of printer support will need to consider looking at other opportunities because some of these printer support jobs will be phased out.  There is a reason for this. More jobs are becoming phased out in the world of printer technology because fewer people are using printers. It has become easier to read the documents and transfer these documents to other workers inside an organization. This means that less money is being spent on printers. Even less money is being spent on printer support. People that have acquired jobs where their primary role is to work in printer repair will see a decline in the number of people that are needed for these types of positions. It becomes a lot less feasible to have printer repair people in place when there is no printer in the office.
 
 
Graphic Design
 
Technology also holds a special place for those that have the experience in graphic design. Websites and social media really engage people in visual art and people that know how to display it on web pages have a plethora of jobs. This leaves this field wide open for those that know about design structures and editing images that can result in eye catching imagery.
 
Wan/ Lan Management
 
One big area that offers an array of different jobs is the area of wide and local network router and switch management. People that are proficient in programming switches and building networks can get themselves a number of jobs dealing with the network topology. Tech careers are booming when it comes to this type of field because many people do not have this experience. They may know how to set up computers, but they may not have any idea about what to do if the network connection is no longer working properly.
 
People that know how to configure switches for networks and troubleshoot these issues with network connectivity will have a wide range of geographical locations that they connect together to build one network for a business.

Tech Life in Illinois

The Illinois Institute of Technology has various research centers such as the IIT Research Institute, the Institute of Gas Technology, and the Design Processes Laboratory as well as a technical facility of the Association of American Railroads. No state has had a more prominent role than Illinois in the emergence of the nuclear age. As part of the Manhattan Project, in 1942 the University of Chicago conducted the first sustained nuclear chain reaction. This was just the first of a series of experimental nuclear power projects and experiments. And, with eleven plants currently operating, Illinois leads all states in the amount of electricity generated from nuclear power. Approximately 35% percent of residents are in management, business, science, or arts occupations.
By working faithfully eight hours a day you may eventually get to be a boss and work twelve hours a day. Robert Frost
other Learning Options
Software developers near Springfield 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.

training details locations, tags and why hsg

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 Illinois 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 Microsoft Office programming
  • Get your questions answered by easy to follow, organized Microsoft Office experts
  • Get up to speed with vital Microsoft Office 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.