You are eager to learn data science, so you go to YouTube and search for its videos. But when the results appear, you get confused. Why? Because there are hundreds of videos on YouTube about data science, how do you figure out the best ones? To simplify this task, we’ve listed out the top data science videos on YouTube so you can get started without any confusion:
Top Data Science Videos on YouTube
1. What is Data Science? How Data Science Works?
Data Science is a broad and complex field filled with numerous branches. If you wanted to understand this field in simple terms, how would you go about it? This video is for that purpose.
Rahim Baig, the Lead Analyst at Flipkart, has explained what data science is in simple terms in this informational video. After that, he moves onto defining different roles in this field. If you are starting, or don’t know what data science is, this video is a high beginning point. After watching this video, you’d be familiar with the purpose of data science and the different roles associated with it.
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2. How to Become a Data Scientist?
You’ve heard the buzz about data scientists. You know they’re in demand, and you can’t wait to get into this field, but you don’t know-how. In this video, Rahim Baig has listed nine steps to become a data scientist.
You don’t need a Ph.D. in Computer Science or an MTech in Software Engineering to become a data scientist. If you follow the steps listed out in this video, you’d be well on your path to becoming a data science yourself. This video lists out the skills you need to enter this field and how you can learn them. Read more on the topic: How to become data scientist?
3. Data Science Applications
Are you interested in finding out where data science is used?
You’d be surprised to see the answer.
This video lists out the prominent applications of data science in our day-to-day lives. From your smartphone to major corporations, you’ll find out some exciting fields where data science plays a crucial role. Again, to help you understand these concepts properly, Rahim Baig, explains everything in detail.
After watching the video, you’d have developed a general understanding of the various fields which employ data science to their advantage. Read more on this topic: Data Science Applications.
4. Data Scientist vs Data Analyst vs Data Engineer
Do you know the difference between a data scientist and a data analyst?
What about the difference between a data engineer and a data scientist?
For those who are unaware, all of these roles seem very similar and even synonymous with each other. But in reality, they all are entirely different from one another. How they are different, and what makes them unique? You’ll find out in this comprehensive video. In this video, Rahim Baig has explained the responsibilities of each role in detail. It’s also a great place to start if you want to determine which data role is more suitable for you. More on this topic: Data Scientist vs Data Analyst vs Data Engineer
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5. Data Science Skills
You want to start your career in data science, but you don’t know what to learn?
This video explains the skills you need to learn to enter this technical field. Many people get confused as to which skills are crucial and which are not. Knowing about the prerequisites of this field can help you plan out your learning strategy and determine your starting point. This video lists out all the fundamental skills you should possess to become a data scientist. To read more on this topic: Data Science Skills
Top Essential Data Science Skills to Learn
Where To Go From Here?
If you want to find out more about data science and learn these skills, check out IIIT-B and upGrad’s PG Diploma in Data Science course.
The course have empowered more than 5000 students. With One-on-one with industry mentors, hands-on workshop and more, you will get job assistance with top firms. Whether you’re a student or a working professional, you’ll be comfortable with the study material either way.
You get to learn from seasoned experts in this field, along with 400+ hours of study material with this course.
Why Learn Data Science?
Data science is currently one of the hottest fields in the tech industry. There’s a massive demand for data professionals, and the supply is meager. So, by learning data science, you can get a high-paying job and break into the tech sector as well.
The following are the main reasons why you should learn data science:
- India saw a 400% rise in the demand for data professionals.
- The average salary of a data scientist in India is 7 lakh per annum
- Growth prospects are fantastic as the salary for data scientists goes up to 20 lakh per year
With so many attractive qualities, no wonder data science is rising in popularity among freshers as well as working professionals.
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Data Science is not only helping organizations understand their target audience, markets, and risks associated with business, but it is also helping them get close to the customer – all with the help of data. The promising field also puts forth great career opportunities for aspirants. Data Science is a less-saturated, high-paying, and emerging field guarantee constant growth and development to professionals who commit to it. Subscribe our YouTube channel for data science related tutorials, news, applications and more.
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Which is easier-data analytics or data science?
What is easy and what is not depends greatly on your interests and skills. Data analytics and data science demand slightly different skill sets. In the case of data science, you don’t have to work on answering specific queries; instead, you need to work on finding broader insights from the existing data. However, data analytics focuses exactly on finding the right answers to those queries, thus analyzing better ways to work with the data. Based upon which work you like more, you can choose what’s easy for you.
Who are some of the famous data scientists in the world?
If you are someone who is aspiring to become a data scientist, you should follow some of the world-famous data scientists in order to gain inspiration from their journey and thus do better in yours. Randy Lao, Alex Sandy Pentland, Kyle McKiou, Geoffrey Hinton and Kate Starchnyi are some of the famous data scientists in the world.
What is the future of the data science industry?
Data science isn’t limited to a single industry within IT, but it is being used in every single industry. From Netflix to weather forecasting, data science has made a huge impact and its importance is well known. So, there is no doubt that data science will do good in the future, thus providing more job opportunities than it has already been providing.
