Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconData Sciencebreadcumb forward arrow iconTop 5 Data Science YouTube Videos You Must Watch Now

Top 5 Data Science YouTube Videos You Must Watch Now

Last updated:
22nd Nov, 2019
Views
Read Time
6 Mins
share image icon
In this article
Chevron in toc
View All
Top 5 Data Science YouTube Videos You Must Watch Now

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. 

Our learners also read: Learn Python Online Course Free

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

Explore our Popular Data Science Degrees

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:

With so many attractive qualities, no wonder data science is rising in popularity among freshers as well as working professionals. 

Read our popular Data Science Articles

upGrad’s Exclusive Data Science Webinar for you –

Transformation & Opportunities in Analytics & Insights

Learn Data Science Digitally

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.

Learn data science courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.

Profile

upGrad

Blog Author
We are an online education platform providing industry-relevant programs for professionals, designed and delivered in collaboration with world-class faculty and businesses. Merging the latest technology, pedagogy and services, we deliver an immersive learning experience for the digital world – anytime, anywhere.

Frequently Asked Questions (FAQs)

1Which 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.

2Who 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.

3What 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.

Explore Free Courses

Suggested Blogs

Data Science for Beginners: A Comprehensive Guide
5015
Data science is an important part of many industries today. Having worked as a data scientist for several years, I have witnessed the massive amounts
Read More

by Harish K

28 Feb 2024

6 Best Data Science Institutes in 2024 (Detailed Guide)
5020
Data science training is one of the most hyped skills in today’s world. Based on my experience as a data scientist, it’s evident that we are in
Read More

by Harish K

28 Feb 2024

Data Science Course Fees: The Roadmap to Your Analytics Career
5036
A data science course syllabus covers several basic and advanced concepts of statistics, data analytics, machine learning, and programming languages.
Read More

by Harish K

28 Feb 2024

Inheritance in Python | Python Inheritance [With Example]
17105
Python is one of the most popular programming languages. Despite a transition full of ups and downs from the Python 2 version to Python 3, the Object-
Read More

by Rohan Vats

27 Feb 2024

Data Mining Architecture: Components, Types & Techniques
10586
Introduction Data mining is the process in which information that was previously unknown, which could be potentially very useful, is extracted from a
Read More

by Rohit Sharma

27 Feb 2024

6 Phases of Data Analytics Lifecycle Every Data Analyst Should Know About
79409
What is a Data Analytics Lifecycle? Data is crucial in today’s digital world. As it gets created, consumed, tested, processed, and reused, data goes
Read More

by Rohit Sharma

19 Feb 2024

Sorting in Data Structure: Categories & Types [With Examples]
137490
The arrangement of data in a preferred order is called sorting in the data structure. By sorting data, it is easier to search through it quickly and e
Read More

by Rohit Sharma

19 Feb 2024

Data Science Vs Data Analytics: Difference Between Data Science and Data Analytics
67773
Summary: In this article, you will learn, Difference between Data Science and Data Analytics Job roles Skills Career perspectives Which one is right
Read More

by Rohit Sharma

19 Feb 2024

13 Exciting Python Projects on Github You Should Try Today [2023]
44753
Python is one of the top choices in programming languages among professionals worldwide. Its straightforward syntax allows software developers and dat
Read More

by Hemant

19 Feb 2024

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon