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Learning to code can be tough under any circumstances. But living in a major city with pollution, stress, cars honking and tons of distractions from friends and family members can make matters even worth. That is why we created the Puerto Rico Coding Bootcamp. During a recent interview with the New Theory Podcast I spoke about how we combine an education and a vacation to create a special augmented learning experience. It is a mixed between a study abroad program and a corporate retreat where you learn new skills like cryptocurrency, virtual reality, react js, mongodb, artificial intelligence and a whole lot more. We want you to learn to code in paradise. To learn more about the Puerto Rico Coding Bootcamp goto http://caribbean.institute/

Anthony Delgado (born February 6, 1986) is an American software developer and internet entrepreneur widely known as a professional hacker in the developer community. Anthony Delgado has won numerous hackathons sponsored by Fortune 500 tech companies like Google, IBM, Intel, Facebook and Microsoft and hosted by organizations including Rutgers University, the New Jersey Institute of Technology, the AT&T Developer Summit in New York City.

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Free Ivy League College Classes you can take from home

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Are you considering attending an Ivy League institution to learn to code? While many Ivy League institutions offer some fantastic technology education, they also have a highly scrupulous admissions process and can be some of the most expensive colleges in the country. Luckily, with the advent of the internet, these universities now offer many of there programs for free via online courses and alternative education websites.

No longer is there a need to be jealous if you are inquisitive about what takes place behind closed doors are top tech schools.

Here are 28 Ivy League courses you can take online right now for free, all from the comfort of your own home!

Enjoy and happy hacking!

Introduction to Computer Science

Harvard University via edX

★★★★★ (52 ratings)

Algorithms, Part I

Princeton University via Coursera

★★★★☆ (48 ratings)

Machine Learning

Georgia Institute of Technology via Udacity

★★★★★ (4 ratings)

Analysis of Algorithms

Princeton University via Coursera

★★★★★ (4 ratings)

Bitcoin and Cryptocurrency Technologies

Princeton University via Coursera

★★★★☆ (10 ratings)

Introduction to Spreadsheets and Models

University of Pennsylvania via Coursera

★★★★★ (3 ratings)

Computer Architecture

Princeton University via Coursera

★★★★★ (4 ratings)

Machine Learning

Brown University via Udacity

★★★★★ (1 rating)

Networks Illustrated: Principles without Calculus

Princeton University via Coursera

★★★★☆ (3 ratings)

Software Defined Networking

Princeton University via Coursera

★★★★☆ (5 ratings)

Machine Learning 1 — Supervised Learning

Brown University via Udacity

★★★★☆ (1 rating)

Machine Learning: Unsupervised Learning

Brown University via Udacity

★★★★☆ (1 rating)

Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays

Harvard University via edX

★★★★☆ (1 rating)

Statistics and R

Harvard University via edX

★★★★☆ (13 ratings)

Networks: Friends, Money, and Bytes

Princeton University via Coursera

★★★☆☆ (1 rating)

The Computing Technology Inside Your Smartphone

Cornell University via edX

★★★★★ (2 ratings)

Using Python for Research

Harvard University via edX

Case Studies in Functional Genomics

Harvard University via edX

★★★☆☆ (1 rating)

Machine Learning for Data Science and Analytics

Columbia University via edX

★★★☆☆ (15 ratings)

Reinforcement Learning

Brown University via Udacity

★★☆☆☆ (6 ratings)

Enabling Technologies for Data Science and Analytics: The Internet of Things

Columbia University via edX

★☆☆☆☆ (5 ratings)

Statistical Thinking for Data Science and Analytics

Columbia University via edX

★★☆☆☆ (13 ratings)

Artificial Intelligence (AI)

Columbia University via edX

★☆☆☆☆ (1 rating)

Machine Learning

Columbia University via edX

Big Data in Education

Columbia University via edX

High-performance Computing for Reproducible Genomics

Harvard University via edX

AP® Computer Science Principles

Harvard University via edX

Animation and CGI Motion

Columbia University via edX

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How Microsoft fell in love with Javascript

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Even Microsoft has embraced NodeJS, offering direct integrations into their Azure Platform, releasing a wealth of tutorials targeted at Node and they have even announced plans to fork the project and build their own version of Node powered by their Edge Javascript engine instead of Chrome’s V8. Node.js + Microsoft?! Yep, you heard us right. In this session, you’ll learn why Node.js is so exciting, why Microsoft cares, and – more importantly – what’s in it for you. Additionally, we’ll touch on many of Microsoft’s Node.js offerings and contributions, paying special attention to some of the exciting new developments in both Visual Studio and Visual Studio Code, as well as glimpse into the future with Node Chakra’s time-travel debugging.

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Is Age Discrimination hurting the Tech Industry

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Learning to code can be a daunting task at any age but entering a Coding Bootcamp where the average age range of the students is 18-25 can make an aspiring web developer who is older feel out of place. I attended a Coding Bootcamp at the age of 31, and while I am still technically considered a millennial (And I am super young at heart), even I have felt like there is a bias in tech/startup culture that leans towards a younger crowd. In 2016 the organizers of a hackathon threatened to disqualify our team after 24+ hours of coding for being “too old to compete” even though the only age requirements at the event were that the participants be 18+.

Although you may face some challenges as an adult coder, learning to code can be one of the most rewarding things you can do as a human being, and there is no reason to let societies biases stop you from following your dreams. In this article, we are going to talk about how you can overcome any potential bias and how you probably have a lot more advantages than you think.

Let your work speak for itself

The beautiful thing about tech is that it is a show and prove industry. You don’t need a license to pimp out your portfolio or create an epic Chrome extension. Showcase your skills by creating a collection of side projects and demo applications. This is how your creativity can set you apart from the pack, regardless of your age. Let your website/portfolio show your personality and your projects on GitHub; showcase your creativity and problem-solving skills.

Don’t wear a suit

Listen, I get it. You want to take your career seriously. But if you walk into an interview wearing a full three-piece suit & meanwhile the person interviewing you is wearing a t-shirt, it is going to get a little bit awkward. I am not saying you have to wear a t-shirt. Do your research and ask the interviewer beforehand what the dress code is when setting up the appointment for an in-person interview.

Leveraging Industry Knowledge

This is a big one. If you have been an investment banker or accountant for the last 20 years and you are just starting a new career in tech at age 45, you might feel as though you have no relevant work experience, but you couldn’t be more wrong.

Today, every company is becoming a tech company in some way shape or form. (And the ones who don’t evolve are going extinct.) Now more than ever, software developers are in high demand at a wide range of organizations, not only Silicon Valley startups.

If you are coming from a career in another field, consider applying to the tech department in that industry or disrupt that industry in a tech startup that focuses on that vertical. Your domain expertise is super valuable and relevant at this point. At a FinTech startup, the fact that you have 20 years experience in finance AND you know how to code is a HUGE asset that can set you apart from your younger less experienced counterparts.

Project Management

Another advantage to having a wealth of previous job experience is the ability to work with and manage a team of people. If you ever held any managerial role in another industry, I would highly recommend taking a course on SCRUM and learning the fundamental principles of running an Agile Software development team. Your people skills and seniority can be a benefit to an organization looking for a tech team lead where you are skilled at coding but also at managing the timeline and product backlog of a project.

Overcoming Bias

Depending on where you want to apply, there can be varying amounts of age bias. The fact is that Millennials and Gen Z make up for close to 50% of the tech workforce and when you look specifically at Silicon Valley tech startups, that number is even higher. At some companies, the bias might be worse than others, and a lot of it is subliminal and subconscious.

Ageism in the Tech Industry is a real thing, but hopefully, this article provided you with some insights into overcoming age bias and even using your seniority to your advantage.

Let me know your thoughts in the comment section below.

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