Essential skills required for Coders. || techtalksgroup ||

If you want to be great at coding you need to move beyond the code and develop some essential skills for coders. To become a great coder it requires more than learning sequences of 0’s and 1’s or complicated programming languages. Anyone can learn a computer language, but the great coders, the ones who create game changing products, who truly excel in the field, possess far more than a knowledge of coding languages. They have a certain mindset that makes them imminently qualified for this technology field that is becoming increasingly dominant in our society.

Essential Skills For Coders

What you will discover in this article!

Typing

Pretty much anyone who is going to have a career at the keyboard needs to develop strong typing skills. After trying many different typing tools our favourite is Typing Instructor for Kids Platinum 5. It’s set up as a game, which my boys really enjoy.

Great Editor

Coding is a finicky business. One missed colon will send your entire script into a melt down reminiscent of a 2 year old that doesn’t want to put on their socks. And like that 2 year old, your script will not help you pinpoint and solve the issue. Having great editing skills will help coders pinpoint errors and get those scripts wearing their socks and running smoothly. Tools that help develop editing skills could be Critical Thinking Co.’S workbook series, Editor in Chief.

A Keen Eye

This skill is along the same lines as great editor. Having a keen eye that can pick up subtleties, patterns, and even colors is key. Some rousing rounds of Where’s Waldo, word search puzzles, and Boggle will help your child start developing an eye for details and patterns.

Creative Problem Solving

Great programs, those amazing success stories that we love to read about, are usually due to a person’s ability to see a problem or need and come up with an effective and functional solution. The coding is just the execution of that creative process. A great way to explore this concept is to read stories of creators and inventors who saw a problem and found a solution where others had only struggled. Some of our favourite books are the Who Is series (Steve Jobs and Bill Gates would be great ones to start), when we want an inside glimpse into great minds.

Visualization

The ability to think out of the box and visualize how something will work will help coders find ways to successfully solve problems.  To  be able to look at a page of text and “see” what it will do is a fantastic skill. To do this have the child think of a program they want to create. Discuss what it will do, how it will do it, then draw pictures of what the finished program will look like.

Critical Thinking

Critical Thinking Skills are extremely important for coders. Although they are limited by the strict requirements of the programming language, understanding problems and being able to dig down to the root of an issue will help them develop programs that truly meet and fulfill a need.

If/Then Logical, Linear Thinking

Computers are very linear in their processing, so as a coder you need to be able to adopt strong analytical and linear thinking. Your mind needs to think like a computers does. If this happens, then this happens, but if this happens, then this happens. There are lots of different ways to build linear thinking skills perhaps playing chess or Robot Turtles (a game designed to teach early programming skills).

Here at STEAM Powered Family we have also developed a number of fun packets that teach early coding skills. Check them out here in our Store or Teachers Paying Teachers.

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5 amazing hotbeds towards Artificial Intelligence

Artificial intelligence wiggled its way into the movie industry decades before it reached business viability. Blockbusters like “The Terminator,” “Star Trek,” and “Iron Man” captivated viewers with futuristic ideas about how AI would change the world.Now that AI is actually influencing the real world, though, business leaders are starting to see that it’s not all evil robots and smart armor. In fact, top tech companies are hustling to bring AI to market in a variety of exciting (and certainly less sinister) ways.

Facebook debuted its AI research initiative, FAIR, earlier this year. Not to be outdone by a younger brother, Microsoft and Google both announced their own AI research programs just this month. A stack of startups are throwing their silicon caps into the ring as well. Angel List counts nearly 3,000 of them to date. Add it all up, and the AI market could be worth almost $50 billion by 2020.

          

Best Bets for AI Disruption

No longer far-fetched fiction, artificial intelligence is here, and it’s about to rebuild business. The following five industries — among many, many others — will be transformed by AI:

1. Digital Marketing

Marketing automation tools have already turned digital marketing on its head. Today’s marketers use AI to analyze customer behavior, customize outreach for individual recipients, and inform sales strategies. So what’s still to come?

While AI may sound like old news to the 72 percent of high-performing marketing teams already using it, executives anticipate an even bigger shift in the next few years. Greater proactivity, improved personalization, and humanlike chatbots are all on the way.

What, exactly, will digital marketing look like in 2020? As marketing specialist Moosa Hemani explains in her recent Huffington Post article, AI will allow everyone who visits a website to have a unique experience with that brand. One-to-one communications, dynamic ad copy, and fluid user interfaces will help brands connect with customers in truly personal ways.

2. Customer Relationship Management

Few business areas took off in the early 2000s quite like CRM did. Although they’ve been around since the ’80s, CRM systems became standard software for marketers in just the past decade.

In the next decade, look for CRM to become a playground for AI. SaaS CRM provider Salesforce reports that while 72 percent of marketers currently use a CRM, that figure will grow to 91 percent by 2019. Market shifts are complex, but a big reason is AI. Salesforce predicts that applying AI to CRM will produce $1.1 trillion in GDP and create 880,000 new jobs.

What, exactly, will tomorrow’s AI-infused CRM systems do that today’s cannot? They’ll automate replies to customer inquiries, of course, but they’ll also learn from those encounters. They’ll become so “human” that it’s impossible for customers to distinguish CRM responses from those sent by real people.

The feature marketers will love the most? Next-generation CRM systems will constantly cleanse themselves of dirty data, eliminating a notorious time suck for marketers. 

3. Data Analytics

It may be obvious by now, but the analytics industry is on the cusp of a golden age. Plenty of companies today talk a big game when it comes to data, but rarely do their results tell the same story. In fact, McKinsey recently surveyed more than 500 executives across industries, and 86 percent said that their data and analytics initiatives were only “somewhat effective” at meeting their objectives.

No offense to mankind, but “manual” and “data” don’t exactly play nice together. In order to capture data at scale and actually use it to make proactive decisions, we humans may just need AI by our side.

4. Customer Self-Service

Customer service is one of those things that can make or break a brand. According to Microsoft’s   2016 State of Global Customer Service  report, 97 percent of global consumers take customer service into account when choosing whether to work with a company.

AI won’t change that. What it will change, however, is how customers receive service. Gone will be the days of calling 1-800 numbers, being put on hold, navigating menus, and usually being put on hold again. Good riddance, right?

Already, 90 percent of those individuals surveyed by Microsoft in Brazil, Japan, the U.S., Germany, and the U.K. say they expect brands to offer an online self-service portal. AI will put these on steroids: Self-service systems will include concierge bots, which will help users troubleshoot products, order spare parts, and provide personalized usage . Service costs will drop while customer satisfaction skyrockets.

5. Enterprise Resource Planning

As the name suggests, enterprise resource planning exists largely within the enterprise. It’s easy to see why, too: ERP implementations often take years, cost millions, and require serious human oversight.

Once AI gets involved, expect all that to change. ERP will soon be a standard software service for small businesses and enterprises alike. Tomorrow, it won’t be Jose from accounting warning that recruiting costs are rising; it’ll be an ERP program instead.But it’s not just about money. AI-infused ERP systems will play dispatcher for field roles, optimizing assignments and generating reports after service calls. Because AI’s language processing abilities have improved dramatically, ERP systems built with it may even interact directly with customers to determine whether a house call is necessary. PwC estimates that by leveraging AI in this way, 80 percent of customer requests could be resolved without human involvement.

There’s no doubt that Iron Man and the Terminator are cool, but they’re not the future of artificial intelligence. For better or worse, AI is going to remake the working world. Professionals will wonder how they ever managed without it, executives will see AI as the company’s autopilot, and customers will want to work with bots instead of human beings.

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