Never start coding without a plan. Before you start writing your first letter of code you should know what it’s supposed

There is power in vulnerability, in showing up not as invincible, but as human. There is a precious connectedness we forge with others because the demons we face are never ours alone. No matter what we are going through, others have faced the same, or worse. And even those that haven’t can give us what we need the most, which is not usually the answer, but rather validation that we are worthy.

Owning — and sharing — my imperfections means that they can’t be used to wound me. I skip reacting emotionally when I’m called a name by some rando with a complex, or given an uncharitable review by someone who would rather see me fail. Owning my imperfections means that I can tell my manager what I’m struggling with and ask for her help in furthering my growth areas. It means I can come to the table with humility and collaboration rather than a need to prove myself to a colleague. It means I can take accountability when my husband or kids call me out for being distracted or irritable.

I will write a separate article on that. But if you ask me, if I find it useful. My answer is yes. I am loving it. It was a great decision. On the other hand, If you ask me if it is possible to become a successful data scientist without a degree. My answer to that is also yes. I have met many data scientists in the meetups and data science conferences who do not have any data science or a computer science degree.

Write down your answers. Whisper them out loud. There is power in being able to give shape to fear in the form of words. It’s as if in the act of spelling them out, they release a bit of their death-grip on you. If you are able to say to yourself, “What I am secretly worried about is that I am not as smart as X, and I’m worried that Y won’t respect or love me as a result,” the fear suddenly shrinks from a giant anxiety word-cloud shadowing every aspect of your life to a tangible sentence that can be dissected and discussed.

We don’t like to think about our weaknesses. In fact, we may be so adept at avoiding this topic that we shove our chest of insecurities deep into the cobwebbed nooks of our subconscious. You can tell when someone has done this because you’ll offer helpful criticism and they’ll completely explode and turn it around to be about you and your failings instead.

We will always be works in progress. There is a better version of ourselves tomorrow, next week, next year. But it starts with acknowledging all the aspects of who we are today.

Happily, my personal chest is getting lighter as time passes. I no longer get offended if an online troll calls me an idiot (because I think they’re mistaken) or if someone says I’m superficial (because I can be, especially when it comes to how I think a room should look). I suspect that the older we get, the less sensitive we become to certain aspects of our identity.

There are certain questions that you should ask yourself before you dive into coding. How can you tackle this certain problem? What structure will you implement? What are the overall goals that you’re implementing?

There are a lot of boot camps out there, charges 10000 USD for their courses and just teach you the very basics. But they will sell you the courses by saying that they will make you a data scientist in 12 weeks or 4 months. Do not fall for those traps and spend your money there. If you can find a Bootcamp that tells you they will teach you programming and algorithms in 4 months that is the best starting point.

These are all great questions to ask before you start coding. And these questions can make you more aware of the fact that there’s a lot to think about before writing code.

After taking some of the courses, I did an internship and a few projects. I attended some conferences, presented some personal projects there, joined several Meetups, and made some good friends, and learned a lot from them. Currently, I am doing my MS in Applied Data Analytics at Boston University.

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ataframe objects waiting for us to convert them into suitable objects for the BERT model. We will take advantage of the InputExample function that helps us to create sequences from our dataset. The InputExample function can be called as follows:

The first mistake I made was getting scared. I spent so much time learning web development and also worked as a front-end web developer knowing that I actually wanted to be a Data Scientist. I was desperate to change my teaching job as fast as I could.

We will always be works in progress. There is a better version of ourselves tomorrow, next week, next year. But it starts with acknowledging all the aspects of who we are today.

When you express vulnerability, you show that they do not control you. Fear thrives in darkness. When you shine a light on it and expose it to another person, you begin to understand it — and overcome it.