There are two approaches you can take to study any topic — top-down, and bottom-up.
When you learnt subjects like math and science in school, you would’ve been taught using the bottom-up approach.
First, you were taught the foundations of the topic, and then gradually progressed through the material.
However, when learning subjects like data science and machine learning, the top-down approach is often easier to grasp — especially if you don’t have a strong mathematical background.
This is easy to do due to the number of packages available in languages like Python and R.
The democratization of machine learning…
As an aspiring data scientist, you must have heard the advice “do data science projects” over a thousand times.
Not only are data science projects a great learning experience, they also help you stand out from the crowd of data science enthusiasts looking to break into the field.
In this article, I am going to walk you through the projects that are must-haves on your resume.
I will also provide you with sample datasets to experiment with for each project, along with associated tutorials that will help you complete the project.
Once I completed my first data science online course, I was confused as to what to do next. I didn’t know what course to take next, or how I could apply concepts learnt to real world problems.
I spent a long time looking for an intermediate level data science course that would help be bridge the gap in my understanding, introduce me to case studies, and strengthen my understanding of statistical concepts.
I created a roadmap outlining the concepts I wanted to learn, and started looking for resources that covered those specific topics.
These resources helped me strengthen my theoretical…
We have seen great advancement in Artificial Intelligence in the past couple of years. It has applications in industries like healthcare, fashion, education, and agriculture, and is predicted to be one of the next big digital disruptions.
As Andrew Ng puts it:
Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.
However, AI is a tool that can be misused. …
Data analysts are some of the most sought after professionals in the world. These are people who help companies make informed business decisions with the help of data.
There is a lot of hype surrounding data science right now.
However, data science has a very high barrier of entry. It is a very competitive field that everybody from different educational backgrounds are looking to get into.
Most data science positions require you to have a post-graduate degree in a quantitative field. However, most data analysts I know come from a completely unrelated background and do not possess technical degrees.
Things get done only if the data we gather can inform and inspire those in a position to make a difference — Michael J. Schmoker
Today, there are almost a million people working globally in a data science related field.
The industry has seen massive growth, with a majority of the world’s data being generated in the last two years. Data-driven industries have seen a massive growth in the past few years.
Applications of data science has made life a lot easier. …
In this article, I will be covering the following topics:
Feel free to skip to any of these sections if you want to. You can find the code to my web application here.
Ever since I started self-studying data science, I have invested a lot of time figuring out the best way to learn.
I wanted to learn at a faster pace, and gain a better understanding of concepts as quickly as I could. There was a period of time when I was working while studying, and time was really precious.
It was important for me to learn as much as I could as fast as possible.
As I was searching for tips to make self-learning easier, I inevitably came across the different learning styles.
We all learn differently.
Not just at different…
A few days ago, my friend approached me to help her edit a video she had been working on. It was for a college assignment.
She told me that her free tier of the video editing service was ending in two days, and that she needed to finish it as soon as possible.
I asked her why she didn’t just purchase a subscription instead, as it was only a few dollars.
Her answer surprised me.
She said that the two day deadline was her motivation to complete the video as fast as she could.
Otherwise, she would end up taking…
Statistics is an incredibly powerful tool. It allows us to better understand the world around us by deriving patterns from data. In today’s world, statistics is being applied in almost every industry — in medical investigations, advertising, sales, and even law.
However, statistics and numbers can be used to lie. They can be used to exaggerate, blow incidents out of proportion, and push political agendas.
In the world we live in today, the consequences of misusing statistics can be disastrous. Misinformation can be spread like wildfire on the Internet, with claims that they are backed up by “scientific proof.”