Webinar: Data Science for Beginners – How to Get Started




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What it takes to become a data scientist — starting in the right place.

In this webinar two of our instructors, Iliya and Simona, talk about the 3 things they needed to learn before all the books and trainings started to finally click.

They discuss the most confusing data science terms, how they fit together, and where in the data processing timeline the data science processes happen.

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  • 365 Data Science
    November 24, 2020

    โ–บ Get 75% OFF! Claim your coupon today! โ—„
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    Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!

  • 365 Data Science
    November 24, 2020

    this data science made simple

  • 365 Data Science
    November 24, 2020

    Hello, I have started a month ago my journey to learning data science but always unsuccessfully looked for a community.
    Reason why I decided to build one on my own, which welcomes everyone, from beginners to advanced, who wants to learn and remain motivated in their study.
    As the server develops, collaborations will be done.
    Here is the link: https://discord.gg/y4e5Dng

  • 365 Data Science
    November 24, 2020

    There is NO WAY those voices are those people.

  • 365 Data Science
    November 24, 2020

    Hi I am a science graduate and a logistics professional with decade of experience after post Grad in MBA Finance. I have no past knowledge of any computer language but swift in Excell.

    From your video I understand It is must to have knowledge of R, Python and SQL to be a data scientist.

    Please guide is it doable for person with my background?

  • 365 Data Science
    November 24, 2020

    GreaT VIDEO, THANKS A LOT

  • 365 Data Science
    November 24, 2020

    Such a thorough, comprehensive explanation you gave right here.

    I already applied and finished the complete data science online course you have on Udemy.com and the quality of the video and its content is amazing. Detailed, entertaining, literally explain all from the most basic to the most complex concept and study cases. I can thank you guys enough for providing me with such great knowledge.

    Keep it up!

  • 365 Data Science
    November 24, 2020

    I want to enroll this course but its expensive ๐Ÿ™

  • 365 Data Science
    November 24, 2020

    @7:03 ๐Ÿ˜€ Table format! Did no one else find this funny?

  • 365 Data Science
    November 24, 2020

    Wow, wow, wow… very concise and comprehensive video… I Have been watching tons of videos online but this single video explains all… Thanks "365 Data Science"

  • 365 Data Science
    November 24, 2020

    Best video explaining about data science I had ever seen

  • 365 Data Science
    November 24, 2020

    Awesome video .Very much helpful.Thank you so much.

  • 365 Data Science
    November 24, 2020

    Am from Electrical engg background.What are pre requisites that I should possess to start with data science?can anyone help me out?

  • 365 Data Science
    November 24, 2020

    Consise and comprehensive great video ๐Ÿ‘

  • 365 Data Science
    November 24, 2020

    Love it when a video opens with the perfect amount of self-awareness–

    "We feel like data science terms and related buzzwords are being tossed around by people from all walks of life, who have taken an interest to the topic. This is not to say that they donโ€™t know what they are talking about โ€“ on the contraryโ€“ but they often use the terms of data science assuming everyone knows and understands where these terms come from and how they fit into the bigger picture. What I mean is, often, the people discussing data science are not teachers. And this creates a massive amount of uncertainty or confusion for the beginner data scientists. Thereโ€™s also a lot of step-by-step guides out there about how to become a data scientist, but nobody really delves into what data science is, how and why it works the way it does.

    Okay, everyone. So, Data science…"

  • 365 Data Science
    November 24, 2020

    Thankyou I follow your videos daily
    I am from India, does things differ here ?

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