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Tech Professions Students Should Consider

Ask a Tech Teacher

Tech industry has been working solidly for the last decade or so and promises the best careers to students. Our Ask a Tech Teacher contributor has a short list of professions that students can look forward to: The Future of the Tech Industry: What Professions Should Students Look Into? Data Scientist Businesses collect data every day.

Robotics 270
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How to Protect Sensitive Data in SaaS Applications

EdTech Magazine

How to Protect Sensitive Data in SaaS Applications. More professionals and students use Software as a Service (SaaS) on a daily basis. SaaS adoption is growing for a wide range of industries. SaaS information should be held to the same industry-regulated standards as finances or healthcare. eli.zimmerman_9856.

Data 177
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How to Select a Complete Digital Education Solution Provider

ViewSonic Education

The most important factors to consider are the type of software and hardware offered by the provider and how they can benefit your classroom. Check if hardware & software is compatible. Confirm that your software is up-to-date. Check if Hardware & Software is Compatible. Aim to keep students engaged.

How To 375
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Mathematical Modeling on Trial and the Maths Fix

The CoolCatTeacher

If you don’t have Google Docs, just use this PDF. Wolfram pioneers new approaches to data science and computation-based development, with technology and consulting solutions that drive innovation in analytics, software development and modelling. Just make a copy and adapt it for your use or print it.

Data 279
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What to Know Before Working With Google for Education

Edsurge

Even if you don’t like Google, Jeremy Lupoli told a crowded room surrounded by products from the tech giant, you’ll still have to work with it to get ahead in the education technology industry. You’d be stupid to say, ‘We don’t want to partner with Google,’” Lupoli noted.

Google 113
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How Students Use AI to Design Solutions for Their Community

Edsurge

After identifying a relevant problem, students collected data to train their AI models and analyzed the data using different tools like Excel, Google Sheets or other data analysis software. One of the most significant challenges was ensuring that the data used to train AI models was accurate and unbiased.

Training 167
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Tech Domains Partners with Code.org & Domain Industry Giants to Bridge the Widening Gender & Race Gap in Computer Science

eSchool News

The campaign comes as the rapid acceleration of digitization compels all industries to embrace innovation, increasing the importance of coding skills and overall investment in STEM. About.Tech Domains Launched in 2015,TECH is a leading new domain extension for the tech industry.