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helppotutor · 3 years ago

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How My College Application Essay Got Me Into Stanford University

The college application essay: it’s probably the #1 biggest hurdle facing a high schooler applying to college. At least, it was for me. I wrote and rewrote my essay fifty times over, adding and then deleting whole paragraphs as often as I changed clothes.

Every day it felt like I was approaching a different beast… and I didn’t even have a college admissions consultant to help me!

How I tacked the college application essay:

What I ended up with was more of a story than an essay. It was the story of how I taught myself to code. I taught myself to code computer games – mostly because I liked to play things like Super Mario Bros. and I wanted to design my own levels.

But I told it like a story. I explained how I took the task in front of me, and broke it down. I conquered small parts. I made many side projects that also contributed to my knowledge of coding – before I designed my capstone project: my own version of The Legend of Zelda.

I got lucky; I did what a college admissions consultant would have recommended.

It worked. I got into Stanford. (Though not Princeton or Yale; a college admissions consulting service could have really helped me refine it!) What I did correctly was to focus on a small, personal achievement, and explain in the essay how it made me the person that I am today.

I taught the admissions counsellor reading my essay something that they wouldn’t have known otherwise. This is one of the top tips for writing a great college application essay.

So, in short, I got pretty lucky. Even without professional help, I did what a professional tutoring service would have recommended!

Was my college admissions experience the norm?

When I was in Stanford, I met some great friends – many of them international students from all over the world. And I learned, in a conversation I had with a friend from Hong Kong, that other students’ experiences with applying to Stanford were quite different from mine.

She took advantage of academic tutoring – which she got online, from an online 24/7 tutoring platform designed for students from Hong Kong. In short, she took advantage of all of the services – such as online professional tutoring services in Hong Kong – that my family hadn’t even known about!

I had a lot of things going for me. I was a native English speaker, unlike my friend, who needed help from a native English-speaking tutor in Hong Kong. I had worked on my own, self-directed projects – without even knowing, as an admissions consultant would have told me, that this shows leadership.

But I hadn’t used professional services, and I’d gotten into Stanford only – which was my parents’ alma mater. My friend, who’d used a private English tutor and admissions consultant in Hong Kong, told me that she’d picked Stanford over Harvard and Yale.

Do you really need a college admissions consultant?

I got into zero Ivy League schools. (Stanford isn’t an “Ivy”.) My friend, who used professional tutoring services in Hong Kong, got into two. I don’t think it’s going out on a limb to say that her method was better.

However, she was fortunate indeed that there are great academic tutoring services in Hong Kong! If you’re from Hong Kong, you’re in luck. Consider making an appointment with our tutors at Helppo – an online tutoring platform in Hong Kong.

Founded in Colorado, USA, in 2016, we understand that it’s not easy to find affordable native English tutors in Hong Kong. But we can provide! Our team of friendly staff and tutors are available to help you, Monday to Saturday, 24/7.

Write that killer college application essay – with help from our college admissions experts in Hong Kong – and get into the school of your dreams!

#english tutoring #english tutoring hong kong #essay writing #ielts tutoring

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theresawelchy · 6 years ago

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Learning Data Science: 4 Untold Truths

Did you flirt with the idea of learning data science? You are not alone. This has been a really hot topic in the last few years and it will be one in the upcoming few, for sure. Yet, very few people actually become data scientists.

Why?

Well, part of the problem is that many aspiring data scientists don’t know what to expect from this field. Or even worse, based on the many misleading (sometimes scammy) “how to become a data scientist” articles, they have false expectations. And when they hit the wall, they get demotivated and quit.

In this article, I want to show you four untold truths that you should know about learning data science – and I have never seen them written down anywhere else before.

Untold truth #1: Learning Data Science is Hard!

Learning data science is not easy. It will take a lot of work, a lot of energy and a lot of time from you.

I have seen an ad recently in my Instagram feed that said: “Take this course and master data science in 1 month!”

And I was like: what the fudge!?

I’ve been practicing data science for 6+ years now. I’ve held senior DS positions (in addition to teaching). But I wouldn’t say that I mastered data science or analytics. I know for a fact that no one can master data science in 1 month. In fact, my personal estimation (based on students I worked with) is that from zero to the junior level the learning process will take ~6-9 months. (More about that in this free course: How to become a data scientist.

Learning data science is hard! A few online education platforms imply the opposite.

“Just change one word in this query. Run it! And boom, you’ve learned SQL…”

“Just watch this video course of the instructor running Python code, and you will know Python, too…”

“Just play around with this interactive chart and you will understand regression analysis immediately…”

Two years ago, I interviewed a guy for a junior DS position. He didn’t have any hands-on experience, but he learned SQL on a popular “just-type-your-code-into-the-browser” kind of online learning platform. (I won’t name the exact platform here. :-))

I gave him a computer with an SQL manager open – and a simple real-life task. He had to JOIN two SQL tables, then do a simple segmentation. He couldn’t solve the task! He ran into syntax errors, he couldn’t debug his code, he didn’t get the context, he couldn’t discover the data…

And that’s when I realized that many of these online schools give people only the illusion of data science knowledge.

You want to have real data science knowledge

You want to have real data science knowledge. But what does it take?

Well, first and foremost: (1) a lot of practicing (2) in true-to-life data environments. Don’t try to skip forward: take the time and the energy and set up your own data server!

Yes, sometimes (well, quite often in the beginning) you will mistype a code-snippet, your computer will throw an error and it will be very annoying. But this is how it works! We make mistakes, we learn from them and next time we will do much better.

And also take the time to practice a lot! When you practice, it’s okay to make stupid mistakes. For instance, it’s okay to accidentally mess up your previously built data pipelines and lose hours of work… (This happens from time to time with my students.) But again: we all do stupid things in real life data projects, too. At least, I did in my junior years — and it cost me a lot of extra work-hours. But I learned from that.

We make mistakes, we learn from them and we don’t make them again.

Note: How to practice? I shared a few ideas (and even more) in the above-mentioned free online course: How to become a data scientist?

Learning data science is not easy and it will take time. If you can’t accept this fact, then maybe this profession is not the best choice for you. But if you are okay with learning data science the hard way, this learning period of a few months will be one of your best long-term investments. (I’ll get back to this below.)

Untold truth #2: It’s not “Learning Data Science”, it’s “improving your Data Science skills”

The world changes really fast and it won’t get any slower. And I seriously believe that if one wants to keep up with the pace, the only way to do it is by focusing on improving skills.

Why? You might already have heard that according to researchers’ predictions, ~65% of today’s grade schoolers will hold jobs that don’t exist yet.

You might also have heard that the current estimated “half-life” of engineering related information is ~4 years. So 50% of the things your learn today regarding IT will be outdated in ~4 years.

soure: Shift Happens 2018

What does it mean for you? That the skills you acquire and improve are way more important than the actual information you learn.

It also means that “learning data science” is not about learning data science.

It’s about:

improving your coding skills.

improving your business skills.

improving your mathematical/statistical skills.

improving your data visualization, presentation, communication and other soft skills.

Learning data science is not about:

Learning a certain package of Python.

Learning the different industry benchmarks for this or that KPI.

Learning certain statistical models.

Learning how to use Google Data Studio or Tableau.

What seems important today, might be irrelevant in 5 years Because mastering, for instance, the Scikit-learn library or Google Data Studio might seem important today… but I bet that there will be a better machine learning package and a better data visualization software in 5 years.

Don’t get me wrong, I still think that today, you should learn these things because they are part of the current data science and analytics ecosystem and also part of the learning curve itself.

I’m saying that you should keep in mind that when you learn these (or any other) tools, the important thing is not to cram in every little syntax detail or which button is where in the specific software – but to understand the big picture. Why does this tool work the way it works? What’s the underlying logic? How does this function work in other similar tools? Once you get these, changing between tools (even between programming languages) will be easy as pie.

And you will be much more prepared for the ever-changing future.

So to future-proof your data science career: focus on your skills and not on the information you learn!

Untold truth #3: Because it’s hard, Learning Data Science is a great investment

Let’s talk about career perspectives, too! Learning data science is a great short and long-term investment. I guess I don’t have to explain the short-term investment part.

Check out the LinkedIn Workforce Report for the US (August 2018)! It says: “Demand for data scientists is off the charts … data science skills shortages are present in almost every large U.S. city. Nationally, we have a shortage of 151,717 people with data science skills, with particularly acute shortages in New York City, the San Francisco Bay Area, and Los Angeles.”

Also, based on Glassdoor’s research, Data Scientist was ranked as the best job three years in a row in the USA.

source: glassdoor.com

Note: the above numbers apply to the US only – I don’t have hard data for the EU or any other parts of the world. But in my experience, in the EU we have the same trends.

High demand and persistent shortage puts data scientists into a really good position. It means:

Higher salary and better benefits

Better job security

Better work conditions (e.g. flexible hours, working from home, etc.)

Besides, data scientist is a well-respected job within the company (and in the outer world, too). You will be someone who your managers and colleagues want to listen to.

The point is: learning data science is a good short-term investment, for sure.

But is learning data science a good long-term investment, too?

My answer is yes and I have two reasons.

REASON #1: Just look at the data! In 2018 the shortage of data scientists in the US was 151,717 people. This number was ~140,000 in 2011. So in 7 years, the market couldn’t produce enough new data scientists to fill up the gap. (It even grew a bit.)

REASON #2: This is something that I’ve already mentioned in the intro. Many people want to learn data science… yet, not too many of them become data scientists after all. Why? Because learning data science is hard. It’s a combination of hard skills (like learning Python and SQL) and soft skills (like business skills or communication skills) and more. This is an entry limit that not many students can pass. They got fed up with statistics, or coding, or too many business decisions, and quit.

So the question is:

If yes, it will be one of the best career investments of your life.

Untold truth #4: Learning Data Science is not about learning Machine Learning, Deep Learning (or any other data buzzwords)

If you had to guess, what would you say is the most time-consuming part of the data scientist job?

Or in other words, what do you think you’ll need to work on the most when practicing data science and analytics for real?

Hint: it’s not Machine Learning.

The answer is… . . . …data cleaning.

Data scientists often say: “80 percent of data science is data cleaning. And 20 percent is complaining about data cleaning.” Okay, obviously, that’s a joke.

But when you get into your first data science role, you will see for yourself: it’s not about doing machine learning and predictive analytics 24/7.

Because to be able to run a proper ML algorithm you have to complete many other steps first:

data collection

data formatting

data cleaning

transforming your data to the right format

discovering and understanding the data

running other data analytics projects

data visualization

automating the above steps

and so on…

And believe me when I say: when you are working with real data, these things are just as exciting as the machine learning and predictive analytics parts.

What’s important then?

When you are learning data science, you should not focus on polishing your ML skills. Instead you should focus on:

being fluent with Python and SQL

understanding the business logic behind simpler analytical methods

being familiar with the basics of statistics

practicing and experiencing the pain of working with a raw and uncleaned data set

learning how to automate

and so on…

These things will help you to become a better data scientist and eventually get your first job — not another deep learning or artificial intelligence course.

So to summarize:

Learning Python and SQL –» important

Learning about Deep Learning –» not important

Learning the basics of statistics –» important

Learning about Artificial Intelligence –» not important

Practicing data cleaning, data formatting and automation –» important

Understanding “artificial neural networks” –» not important

At least, at the junior level… Later on (in 1 or 2 years), when your career moves forward, you will have to learn these above-mentioned, fancy machine learning methods on the job, anyway.

But for now: focus on the things that are important for your next step!

Conclusion

I know: being a data scientist, a machine learning guru, a master of deep learning… These all sound exciting. And you will get there eventually. (I mean, if you want to. For instance, I take much, much more enjoyment from working on simpler analytics projects that have bigger impacts on business. E.g. a sophisticated segmentation project rather than a deep learning project.)

But think about everything that I’ve written above: accept that learning data science is hard, focus on your skills, consider it an investment and learn the basics first!

If you want to learn more about how to become a data scientist, take my 50-minute long free video course: How to become a data scientist.

Also check-out my 6-week data science challenge: The Junior Data Scientist’s First Month video course.

Cheers, Tomi

#Technology #Finance

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codemodee · 2 years ago

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The Advantages of Having a Certified Online Coding Platform

Introduction: There are several online classes for coding in this day and age, and they exist across a varied range of expertise and professional excellence. online coding platform for schoolers USA Their principal aim is to impart the latest trends, skills, and breakthrough innovations in coding.

However, it is important to ask ourselves what the point of coding is in the first place. Why is there an extra emphasis on acquiring the basic skills and talents of coding? To answer simply, without coding, the internet, websites, apps, digital platforms, and devices would be impossible to operate. online coding platform for java This is due to the fact that they all run and operate on preprogrammed software commands which are built with basic to advanced coding. So, that answers part of the question as to why certified coding classes are relevant and vital. Let us examine the others below.

What are the Advantages of Certified Online Coding Classes anyway?

Practical coding opens doors to multiple careers and specializations in the IT industry.

In the case of online certified coding classes, the training faculty are qualified and experienced, the curriculum used is standard and professional, the skills imparted are lifelong, and the tools used—from software to communication channels to devices—are all original. Moreover, they are safeguarded from piracy and substandard skills. This opens doors to a future with unlimited career possibilities and opportunities in the IT sector, along with its secondary and tertiary sectors.

Ability to create relevant web-related software with in-depth programming skills.

The primary relevance, importance, and advantages of a certified online coding platform are related to its massive programming capabilities. It not only provides the ability to create critical web-based software, but it also vastly improves programming skills. It makes learners ready to face and join the real world of computer-savvy programmers.

Transition from foundational to advanced coding, data science, and artificial intelligence.

In coding, you can start fresh and quickly progress to more advanced stages. Coding courses are formatted to have levels, in order to inculcate skills and knowledge through their practical emphasis. Beginners can start with courses teaching the foundations of programming and coding, and advance to becoming experts at coding languages such as Python, C++, Java, JavaScript, Scratch, and more. In this way, students gather knowledge through consistent practice and learning.

Convenient, flexible, and affordable well-spaced-out class timings

By offering a huge number of courses, online coding classes deliver convenient learning opportunities to students anywhere. They are accessible, affordable, and can be taken by people from any level of educational background. Moreover, these class offerings provide a medium for payment and attendance that suits the flow of school curriculums.

Coding classes impart advanced organizational and problem-solving skills

One of the key takeaways from offline and online coding classes is the ability to foster order and organizational skills. Along with thorough analysis and decision-making, there is an enhanced perception and application of knowledge. Students can become better at formulating theoretical and practical skills by practicing clear logical thinking. With all foundational and advanced concepts precisely and concisely taught and practically illustrated, students can gain a clear grasp of coding fundamentals.

Increases confidence and builds a stronger and sharper memory.

Through learning coding, sharp recollection skills can be built, in addition to helping with other school-related or professional tasks. It is the systematic impartation of programming skills that enables, empowers, and makes all this possible.

Summary: Learning to code through specialized and certified coding classeshelps young people polish different types of skills and also develop strong coding fundamentals. It is the ultimate platform for a rewarding and successful career in data science and other key emerging technologies of today.

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codemodee · 2 years ago

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#online coding platform for schoolers USA

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codemodee · 2 years ago

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#online coding platform for schoolers USA

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codemodee · 2 years ago

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#online coding platform for schoolers USA

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codemodee · 2 years ago

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The Importance Of Online Coding Classes For Kids!

If you are searching for after-school programs for your children, coding classes for kids is the most ideal choice for you. Coding classes are the ideal learning classes for creative review programs. In the coding classes, the certified coaches show PC programming abilities to kids through intuitive and energizing tasks. The coding classes are great for youngsters who have extraordinary minds and for individuals who love innovation. In Coding for Youngsters, your kid will figure out how to make computer games, and moving stories and will carry dreams to reality. Your kid will learn essential programming and coding effectively alongside critical thinking abilities, and significantly more. Searching online coding platform for schoolers USA? Codemode.us creates a coding platform for your school to keep its students and parents updated with their progress.

In coding classes, children can work with the exceptionally evolved innovation stage that is keen and extremely easy to utilize. Coding classes are entirely adaptable, so your child or girl can work at their solace with the support and help of a certified and capable mentor since a certified teacher can furnish instruction in the present-day and useful way.

During the meeting of coding for youngsters, your kid will discover how to make computer game characters, kids show sound impacts, and enhance by utilizing keen and kid-amicable innovation. Coding will foster the ability to plan the last computer game that your child or girl can play with companions. Browsing online coding platform for java? Codemode.us allows users to run Java code instantly. It is an online coding platform for those who want to try out their Java code before running it on a system.

Toward the finish of each coding meeting, your child partakes in a wrap-up activity to fortify the abilities the person in question discovered that day. Likewise, the guardians will get a connection to the ventures wrapped up by their youngsters, so they can watch and impart their child's inconceivable work to family and office partners. Coding for Youngsters is a productive framework to construct deep-rooted influence with 21st-century abilities in an entertaining manner.

Everybody has creative thoughts, yet a couple of individuals can get them going. The capacity to code isolates the people who simply have thought from the individuals who can make their thoughts a reality. Assuming you maintain that your child should be a trendsetter and scholar who can rejuvenate groundbreaking insights then you should have to urge your kids to figure out how to program through coding classes. Coding and programming can give certainty to kids that they can turn out to be great manufacturers and originators.Codemode.us provides AP computer science lessons in USA. Our courses are designed by subject matter experts and delivered by a team of highly qualified and experienced educators.

Assuming a kid program an item to move in a specific methodology and afterward immediately notices the outcomes that your kid wanted afterward a youngster will want to accurately control the code. Getting information about how to program resembles learning some other programming language in that the ability should be polished and tried out. Similarly, like different dialects coding fosters the expertise to speak with universes of individuals, and programming gives the capacity to the youngsters to construct innovations that influence everyone around them. With a PC no one but, kids can utilize their programming abilities to build things that could change the globe. So it will be great for the children to master coding and programming in the coding classes to upgrade their imagination and critical thinking abilities.

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codemodee · 2 years ago

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The Importance Of Online Coding Classes For Kids!

During the meeting of coding for youngsters, your kid will discover how to make computer game characters, kids show sound impacts, and enhance by utilizing keen and kid-amicable innovation. Coding will foster the ability to plan the last computer game that your child or girl can play with companions.Codemode.us is an online coding classes for high schoolers. Learn programming languages like C++, Java, or Python, study computer science and math or learn to create your games.

Everybody has creative thoughts, yet a couple of individuals can get them going. The capacity to code isolates the people who simply have thought from the individuals who can make their thoughts a reality. Assuming you maintain that your child should be a trendsetter and scholar who can rejuvenate groundbreaking insights then you should have to urge your kids to figure out how to program through coding classes. Coding and programming can give certainty to kids that they can turn out to be great manufacturers and originators. Looking for coding classes for middle school students? Codemode.us offers coding classes for middle school students that teach basic programming and robotics skills.

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