Here we learned a lot today about animations in Figma. Now you have time to practice and make your cool animations. Next

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.

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.

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.

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have a good understanding of vector spaces, the next step would be to understand how to measure a vector’s magnitude. By default, a vector space in itself gives no tools for this. How would you do this on the plane? You have probably learned that there, we have

I made a community of coders and got familiar with the essentials of coding like data structures and algorithms. They also teach some HTML and CSS. For the first time, I used SQL there. That experience gave me the realization that I have a long way to go before I can call myself a software developer. Yes, after LaunchCode, that was the goal. I wanted to be a web-based software developer.

One morning I received an email that LaunchCode is offering a free BootCamp in Miami that is called CS50. Miami Dade College will host it. That was Harvard University’s introduction to the computer science course. They videotape their classrooms and LaunchCode uses that for their Bootcamp. That course is also available in edx and can be taken for free using the audit option.

I took more classes in Udemy and Udacity and was applying for jobs as a web developer. I worked as a web developer in a startup for a couple of years. While working there, I thought I probably know enough to try Data Science now.

I started searching for some free resources on Google. Because I had no idea at all how coding looks and feels like. I just wanted some free experience before spending any money on it. I came across the LaunchCode website. They had some free courses and practice platforms. I even didn’t have to install anything. The first course was an HTML course. As I did not have any idea and even did not talk about it to anyone, I started with HTML. When I learned to code a few lines of HTML and I saw some output, it was very thrilling. So I kept doing it. After HTML, I also took the CSS and JavaScript courses for free in the LaunchCode platform. Now I know that all was just introductory level courses.

Here we learned a lot today about animations in Figma. Now you have time to practice and make your cool animations. Next time we will learn about how to share with the community and developers. We will learn how to export animations to GIF, Sprites, Frames or CSS. Of course I will tell you some new techniques and explain why you should use frames instead of groups.

All these courses teach how to use different libraries to analyze data and make predictive models. But I wanted to learn to develop the machine learning models from scratch, not only from a library. I found another great machine learning course offered by Professor Andrew Ng of Stanford University.

While taking this machine learning course, I realized I need to develop more statistics knowledge. I took a probability and statistics course in college. But that wasn’t enough. This course on Coursera helped me a lot:

After Bootcamp, I kept practicing PHP, SQL, JavaScript, and WordPress! I was still teaching and was hating my job. I was desperate to find another career. I think most people start thinking of a different career because they are not happy in their current job or not making enough money. And then because of a lot of buzz about Data Science, focus shifts there.

As you can see I use Coursera a lot! It has a lot of great courses. But it takes some time to find a good course that is suitable for you. A lot of time I started a course and after I have done it halfway I realized this is not for me. So, there will be some time laps there. If you are totally new to Coursera and do not know how to take courses for free there, here is a six minutes tutorial for that:

I secretly wanted to work in the Data Science and Artificial Intelligence industry but I thought that’s probably too hard. I thought I needed more coding expertise before I can start that.

This is very common to switch to data science. Most data scientists I know out there do not have a degree in data science. They switched from another area. I also know many people who are trying to switch from another major. I meet many people being confused if it is the right career track for them. Well, the decision is yours. Everyone may have a different journey and may have different opinions. In this article, I decided to share my own experience. For some people, it could be an interesting read and for some people, it might be helpful information.