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Showing posts from August, 2020

Recommendation : Online Courses To Become a Data Scientist

Mam, can you recommend me some good courses online? I get a lot of such questions from many aspiring professionals / students looking for opportunities to kick-off their careers in the fancy market of AI/ML/DS. The "Certificate Of Achievement" is an exciting way of proving your work. Its always nice to have a document that speaks about the amount of hard work you have put into something and how you now stand out. With easy access to internet and the world going more and more digital, online courses are becoming popular everyday. All the "special notes" which could be your key to success are now available online for free or cheap. Also,  you now don't need to travel around the world to learn from the subject experts, they are now sharing their wisdom just a click away. The big universities are online now, everything for which you had to plan scholarships, funds and travelling thousand miles is now online at a much cheaper options. But like everything else, more c

What Do Data Scientists Do? - Joma Tech

Data science is not about making complicated models. It's not about making awesome visualizations It's not about writing code data science is about using data to create as much impact as possible for your company Now impact can be in the form of multiple things It could be in the form of insights in the form of data products or the form of product recommendations for a company  Now to do those things, then you need tools like making complicated models or data visualizations or writing code But essentially as a data scientist your job is to solve real company problems using data and what kind of tools you use we don't care Now there's a lot of misconception about data science, especially on YouTube and I think the reason for this is because there's a huge misalignment between what's popular to talk about and what's needed in the industry.  So because of that, I want to make things clear. I am a data scientist working for a GAFA company and those companies emp

How Did Data Science Contribute During Pandemic?

The Covid-19 has been a battle of technology with nature, while the world was already enjoying a high-tech lifestyle taking about nature being understood well, robot taking care of all the needs, we thought we didn't need anything supernatural to decide our lifestyle, we can create our own climate, crops don't need rain anymore, water can be artificially created, no more dependence on fossil fuels for energy, fight against the unprecedented pandemic has slowed us down to start thinking from the base again. Yes, one of the fanciest jobs of the decade being "Data Scientist" meant almost "Know It All". But it also means the availability of data is the prime need. Can data science work without data? Of course not. But yet played a role since the first data point found.  Most of the assumptions made during our models seemed to not work as we saw more and more of these pandemic days. It's now clear, that there hasn't been such event in the past where our m

What Is The Most Preferred Coding Language ?

I can code in 9 different programming language, Does that help? Does this increase my chances of getting hike? How did I learn? How do I switch on/off mode for different languages?  Programming languages are about compatibility of the system, about the legacy of the utility and comfort of programmer. Be it either of these in picture, its important to know what you are doing and have logic in mind. Like any other spoken language, computer languages are about communication in the easiest possible way. My personal favorite is Python. Its free, its mature, its flexible, its fast, its easy to learn and most importantly its a popular language in demand.  Simple:  Python is a readable and understandable language.  Free:  This programming technology is free and open.  Compatible:  Python offers compatibility with various platforms.  Object-oriented:  Python supports procedure-oriented and object-oriented programming.  Libraries:  There are a lot of libraries for Python. As a result, the develo