Perl Programming Training Classes in Lawrence, Kansas

Learn Perl Programming in Lawrence, Kansas 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 Perl Programming related training offerings in Lawrence, Kansas: Perl Programming Training

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Perl Programming Training Catalog

cost: $ 1390length: 4 day(s)
cost: $ 1390length: 4 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 1090length: 3 day(s)
cost: $ 1090length: 3 day(s)
cost: $ 1590length: 4 day(s)
cost: $ 2090length: 5 day(s)

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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.

Programmers often tend to be sedentary people. Sitting in a chair and pressing keys, testing code, and planning out one logical step-wise strategy after another to get the computer to process data the way you want it to is just what life as a programmer is all about. But, is being too sedentary hindering a programmers max potential? In other words, will getting up, moving around, and getting the blood pumping make us better programmers? To answer this question more efficiently, we will need to consider the impact of exercise on various aspects of programming.

Alertness And Focus

It is no surprise that working up a sweat makes the mind wake up and become more alert. As the blood starts pumping, the body physically reacts in ways that helps the mind to better focus. And improving our focus might make us better programmers in the sense that we are more able to wrap our mind around a problem and deal with it more efficiently than if we feel sluggish and not so alert. However, improving one's focus with exercise can be augmented by taking such vitamins as B6, Coleen, and eating more saturated fats rather than so many sugars. Exercise alone may be a good start, but it is important to realize that the impact of exercise on overall focus can be enhanced when combined with other dietary practices. However, it never hurts to begin a day of programming with fifteen minutes of rigorous workout to give the mind a little extra push.

Increase In Intellect

Does exercise cause a programmer to become a smarter programmer? This is perhaps a trickier question. In some sense, it might seem as if exercise makes us more intelligent. But, this may be more because our focus is sharper than because of any increase in actual knowledge. For example, if you don't know how to program in Python, it is highly doubtful that exercising harder will all of a sudden transfer such insights directly to your brain. However, exercise might have another indirect impact on a programmer’s intellect that will help them to become a better programmer. The more a person exercises, the more stamina and energy they will tend to have, as compared to programmers who never exercise all that much. That additional energy and stamina might help a programmer to be able to push themselves to learn things more efficiently, simply because they aren't getting tired as much as they study new languages or coding techniques. If you have more energy and stamina throughout the day, you will likely be more productive as a programmer as well. Greater productivity can often make one program better simply because they actually push themselves to finish projects. Other programmers who do not exercise on a regular basis may simply lack the energy, stamina, and motivation to follow through and bring their programming projects to completion.

Memory

The ability to remember things and recall them quickly is key to being an efficient programmer. Getting up and getting real exercise may be central to making sure that one does not lose control of these cognitive abilities. According to the New York Times, article, Getting a Brain Boost Through Exercise, recent research studies on mice and humans have shown that, in both cases, exercise does in fact appear to promote better memory function as well as other cognitive factors like spacial sense. (1) Consequently, if a person intends to be a programmer for a long time and wants their mind to be able to remember things and recall them more easily, then exercise may need to become an essential part of such a programmer's daily routine.

As much as one might want to resist the need for exercise and be sedentary programmers, the simple fact is that exercise very well could improve our ability to program in numerous ways. More importantly, exercise is critical to improving and maintaining good health overall. Even if a person does not have much time to get up and move around during the day, there are exercises that one can do while sitting, which would be better to do than no exercise at all.

 

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What Options do Freelance Consultants Have with Large Corporations

If you are interested in using java tutorials to educate yourself from home, you are probably interested in learning how to tell the difference between valuable resource materials, and those which are outdated or incorrect.  Learning to evaluate the quality of available tutorials is both an art and a science, and is best accomplished by paying attention to some of the individual components which make up a quality tutorial.  We will take a look at four of the most important:

·         Good organization – The tutorial needs to have a well-developed structure, which comprehensively details the content it will deliver, and is very easy for users to navigate.  A good organizational structure is indicative of a polished educational thought process, and is more important than you may think in the development of a good tutorial.

·         Valuable content – For good java tutorials, the content should be structured around accomplishing individual tasks.  It should do so by providing clear instruction to the reader, and be concise and to the point as well.  The delivery of quality content is the primary purpose of any tutorial.

·         Attractive appearance – Attention needs to be paid to the manner in which the tutorial is presented.  They should always strive to be visually appealing and not overly busy, so as to distract from communicating the message.  A clean and simple presentation also helps to emphasize the content.

The Context Of Design Thinking And Its Application In Employee Skill Training

Design thinking is a crucial pillar in today’s problem-solving imperatives. In fact, it is being pursued as a unit course in various institutions across the globe, thus underlying its importance in aiding objective human thinking. It’s not a specific property for designers. Far from it, it has emerged as an innovative solution-seeking tool for all great inventors and innovators.
 
By description, it is a design methodology used for tackling complex problems that are virtually unknown or ill-defined, through a careful evaluation of the human needs involved, understandably restructuring the problem, by brainstorming to create many solutions, and by adopting a direct approach in testing and prototyping. It helps us come up with creative ways to solve nagging problems that stem from us and especially in the workplace setting.
 
The ‘overwhelmed/overburdened employee’ is a common term in HR offices across many organizations in the world. Employees are faced with a huge challenge in regards to coping with fast-paced technological and office changes in the working environment. This had led to a massive stagnation in productivity, prompting HR heads to look for new ways to reduce their employees’ stress and workload.
 
While evaluating many options, this model of thinking has posed as a helpful tool for HR managers when dealing with their vexed employees. IT training, in particular, has helped shape the productive realms of many companies out there.
 
Let’s explore how this thinking domain can be used to plan employee skill training:
 
Empathize
If you want to show concern for your employees, first empathize with their situation. Seek to understand the needs of the employees deeply, what they lack, what they need, and the challenges that they are likely facing. This will act as the basis of plotting the problem and working on the next phase of solving it.
 
You can collect data in this phase through empathy maps and journey maps. In the latter, you endeavor to steadily track the day-to-day activities and tasks of employees. This is achieved through observations or structured interviews. In turn, it aids in elevating the thinking process.
 
Through empathy maps, you ponder on collected findings and synthesize them keenly. Here, you seek to establish how an employee is thinking, their feelings, and insights into the probable root cause of the problem.
 
Define the Problem
After a comprehensive analysis of the collected data; the problem definition phase should follow. The idea here is to locate the underlying root of the problem concisely. HR should seek to utilize an analysis framework to help address problems affecting the holistic being of all employees. Therefore, each issue would require a list of underlying causes: lack of motivation, lack of knowledge/understanding, or just lack of skill.
 
Once the root cause(s) are clearly defined, a clear problem statement should be drawn up alongside performance goals that are firmly based on actual drivers. 
 
Think Solely About Employee-Based Solutions (iterative learning)
Conventionally, customers are at the heart of every organization’s dealings. They inspire and drive the company’s objectives because they are crucial in profit making. However, employees have greatly suffered while working ‘behind the scenes.’ Such situations have led to employees feeling discontent and work under immense pressure, which inevitably leads to underperformance. To avoid this, the experimental learning concept can be utilized by HR offices to engage employees more by creating solutions that directly suit the situations they encounter daily.
 
Here, trainers are removed as the center of focus. An iterative ‘reflection’ cycle is established to tap continuous employee feedback in a bid to sharpen their skills. This method helps employees adapt to new technology through a well established IT consulting network. In the long run, employees don’t forget how they handled a particular problem, and this effectively raises a firm’s productivity.
 
Support Employee Tasks with Simple Technology (Ideate)
The simplest way to support employee-working experience is by not sidelining them unprepared with changing technology processes. As an HR Manager, fully engage your employees when transitioning to new tech by making use of effective training or consulting services. Specific training needs can be assessed and addressed within the organization or with a third party industry expert. 
 
According to Deloitte’s 2016 Global Human Capital Trends Report, design thinking was isolated as crucial in crafting the employee experience. 79% of those interviewed identified it as imperative. However, almost a similar percentage agreed that a lot of compliance programs and training are still based on outdated modes of meetings and processes.
 
The report also recommended the need to put necessary consideration on employees through proper IT training for far colossal efficiency. One way to make this work is by drawing a connected roadmap of skills and information needed at certain work intervals. Shedding off overwhelming and irrelevant amounts of data for new employees is vital in retaining their concentration and output. What’s more, a customizable app can help employees undertake appropriate tasks at the specified time, thus resulting in higher revenue for the long term.
 
Implementing an Intuitive Tech Learning Approach (Ideate)
The basis of this argument is that not every employee is the same. All of them are differently gifted and shouldn’t be forced to use one inflexible technology or system that doesn’t cater to their individual needs in a buzzing work environment. This mode of critical thinking brings to life personas such that fictive employees representing a defined group of external employees are drawn up. In this set-up, the personas should be able to learn and work efficiently within their own small environment while quickly utilizing their own skill set and the required information to make things work.
 
An HR manager can replicate this working scenario through the use of role-plays. This can be achieved by conducting short-term soft skills training sessions to sharpen their ability to handle similar situations. In the case of new technology, video-replays on how to use it in a one-on-one customer scenario can help relieve the pressure and spur the employee to be more productive.
 
Prototype and Testing
Here, the HR Manager should run a couple of tests to ensure whether the desired model of skill training is working. One way to get started is by crafting a simple prototype of the technology required, probably as a single module to establish its viability.
 
The new technology should be vigorously tested during prototyping to pinpoint any leaks, disjoints, or performance issues. Structured walkthroughs can be implemented to help employees navigate the solution through proper IT training sessions.
 
What’s more, HR should conduct sessions to get the employees’ views, emotions, or feelings regarding the new solution. In case of any cause for concern, the prototype should be improved until it meets the intermediate needs of its users.
 
Iterations are also a common occurrence in this phase. Refinements and alterations are curved out to make sure that the final thing suits every employee in some understandable capacity.
 
Wrapping Up
Design thinking is crucial in any organizational setting in making sure that employees sync properly with the technology in place. This will go a long way in improving their productivity.

Tech Life in Kansas

Tech Life in Arkansas Software developers throughout the 29th state Arkansas, enjoy a rich culture. The City of Little Rock is a hub for transportation, business, culture, and government. Although the primary form of business in this state is agriculture, according to the US Census Bureau, approximately 35 percent of residents in Arkansas engage in management, business, science, and arts occupations.
I have yet to see any problem, however complicated, which, when looked at in the right way, did not become still more complicated. Poul Anderson
other Learning Options
Software developers near Lawrence 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 Kansas that offer opportunities for Perl Programming developers
Company Name City Industry Secondary Industry
Collective Brands Inc. Topeka Retail Clothing and Shoes Stores
Westar Energy, Inc. Topeka Energy and Utilities Gas and Electric Utilities
Ferrellgas Partners, L.P. Overland Park Retail Gasoline Stations
Seaboard Corporation Shawnee Msn Wholesale and Distribution Grocery and Food Wholesalers
Sprint Corporation Overland Park Telecommunications Wireless and Mobile
YRC WorldWide Inc. Overland Park Transportation and Storage Freight Hauling (Rail and Truck)

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 Kansas 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 Perl Programming programming
  • Get your questions answered by easy to follow, organized Perl Programming experts
  • Get up to speed with vital Perl 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…
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