365 Data Science Tutorials
365 Data Science Tutorials
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How to Think Like a Data Scientist?
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If you want to become a data scientist and create a project that will get you hired in the field, then you need to start thinking like a data scientist. Which is what we are going to show you in this 365 Data Science Tutorial video. You will have to adopt a unique mindset that requires you to think like a scientist, think like a data engineer and think like a businessman.
Why do you need to think like a scientist? Well, you are going to be using advanced analytics, investigating motivations, looking for patterns and trying to understand the why of it, all in a systematic manner. Scientists use critical thinking to discover knowledge using the scientific method. So just like a scientist, you will start by researching and investigating the problem, finding out what has already been done, and speaking with stakeholders to see what they know. You have to hypothesize and come up with possible solutions. You are going to test the hypothesis using statistical methodology, and you are going to measure the results. Most importantly you have to keep an open mind and question everything!
Why do you need to think like an engineer? Because you have to write code, build systems, deploy models and automate things. You need to engineer systems that are reproducible, testable, extensible, portable, robust, reliable and efficient. You need to build systems that solve problems, so avoid copying and pasting your work.
And finally, why do you need to think like a business person? Businesses are about making and saving money. As a data scientist you play an essential role in those activities. You need to demonstrate business acumen that you can clearly identify real world problems and real-world solutions. You need to understand how to develop, quantify, measure and track KPIs. The ability to communicate complex concepts in a clear and simple manner to different levels of management is also an essential skill.
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365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. This is why we have dedicated this channel to those who are completely new and are curious to explore the wonderful world of data science. Once you have built a basic theoretical knowledge you can sign up to our comprehensive curriculum where we have prepared numerous courses that suit the needs of aspiring BI Analysts, Data Analysts and Data Scientists.
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มุมมอง: 1 266

วีดีโอ

What Is Backpropagation?
มุมมอง 726ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3vTadn8 Download Our Free Data Science Career Guide: bit.ly/3GX9k3p Welcome to this 365 Data Science Tutorial Video where we will be talking about backpropagation. The most intuitive lesson, yet the hardest to grasp in mathematical terms. But before that, let us start from the other side of the coin with forward propagation. Forward p...
Underfitting vs Overfitting
มุมมอง 46ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3GJOwMR Download Our Free Data Science Career Guide: bit.ly/3QlcVvo One of the most commonly asked questions at data science interviews is about overfitting. A recruiter will probably bring up the topic and will ask you: “What is overfitting and how do we deal with it?” Fortunately, in this 365 Data Science Tutorial video we will addr...
What is SWOT Analysis?
มุมมอง 92ปีที่แล้ว
👉🏻 Start 2023 With Our Complete Data Science Training at 57% OFF: bit.ly/3GdnuMo Download Our Free Data Science Career Guidebit.ly/3CmOlEw Before jumping into adopting AI a product manager needs to understand the business landscape of the market and the competition. Does the business have a particular weakness that might require an investment in AI for developing operational efficiencies? Are t...
Cross Validation in Machine Learning
มุมมอง 409ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3iCdK5Y Download Our Free Data Science Career Guide: bit.ly/3PpYRjP In this 365 Data Science Tutorial we will be focusing on one of the most important practices in machine learning - cross validation, also known as N-fold cross-validation or K-fold cross-validation. Cross validation is a technique that is used in many areas of machine...
What are Support Vector Machines?
มุมมอง 52ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3FtFsKf Download Our Free Data Science Career Guide: bit.ly/3UBWr2s Welcome to this introductory video tutorial lesson on SVMs (Support Vector Machines)- a type of supervised machine learning algorithm which can be used for classification and regression purposes. In the case of supervised classification models, we aim to arrange the o...
What is a Confusion Matrix?
มุมมอง 7Kปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3UlrP51 Download Our Free Data Science Career Guide: bit.ly/3gTGIhl Looking at the error rate of a machine learning model is not the only way to look at the performance of a model. For classification AI which are AI models that classify data according to data it has learned, a confusion matrix, also known as error matrix, is used to j...
Product Management vs Project Management Explained
มุมมอง 79ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3AWfz40 Download Our Free Data Science Career Guide: bit.ly/3Fdj5th While you could hear references to your AI products as an AI project that is being worked on, in this 365 Data Science Tutorial we will explain why product management and project management are not the same. The skill used in project management are some of the same sk...
What Is The Bayes Theorem?
มุมมอง 203ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3AHrEdv Download Our Free Data Science Career Guide: bit.ly/3i3Ybnn In this 365 Data Science Tutorial we are going to introduce one of the most important formulas in the world of probability- the Bayes’ Rule. People also refer it as the “Bayes’ Law” or “Bayes’ Theorem”. We begin the video by going over the conditional probability form...
What are Neural Networks?
มุมมอง 71ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF : bit.ly/3ErPUkK Download Our Free Data Science Career Guide: bit.ly/3tV65lD This 365 data science tutorial is an introductory video to neural networks- computing systems that process and analyze data mimicking the functions of the human brain. They are an artificial intelligence method and a type of machine learning called deep learning whic...
Quantitative vs Qualitative Data
มุมมอง 76ปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3TOwXOI Download Our Free Data Science Career Guide: bit.ly/3AqJ2CW In this 365 data science tutorial we will be making the important distinction between qualitative vs quantitative data. This will allow us to understand what kind of data and characteristics we are working with. Quantitative data is the data measured in numerical form...
How to Give a Great Data Science Elevator Pitch?
มุมมอง 1.4Kปีที่แล้ว
👉🏻 Get Our Complete Data Science Training at 57% OFF: bit.ly/3Ghrkpn Download Our Free Data Science Career Guide: bit.ly/3GmCGIC Alright, so you have the perfect resume and you have practiced mock interviews to perfection. What else is there to prepare you might ask. The answer is - elevator pitch. The elevator pitch is a powerful selling tool that you can use to show employers in 2 minutes or ...
SQL Data Science Interview : Mock Interview
มุมมอง 61ปีที่แล้ว
SQL Data Science Interview : Mock Interview
How to Create a Pie Chart in Python?
มุมมอง 401ปีที่แล้ว
How to Create a Pie Chart in Python?
How To Create a Histogram in Python?
มุมมอง 2.2Kปีที่แล้ว
How To Create a Histogram in Python?
Different Types of Data
มุมมอง 2.2Kปีที่แล้ว
Different Types of Data
How to Do A/B Testing Ethically?
มุมมอง 40ปีที่แล้ว
How to Do A/B Testing Ethically?
What Are Descriptive Analytics?
มุมมอง 4.3Kปีที่แล้ว
What Are Descriptive Analytics?
What is a KPI Dashboard?
มุมมอง 4Kปีที่แล้ว
What is a KPI Dashboard?
What is Data Literacy ?
มุมมอง 7Kปีที่แล้ว
What is Data Literacy ?
Welcome to Our New 365 Data Science V3.0 Gamified Platform!
มุมมอง 391ปีที่แล้ว
Welcome to Our New 365 Data Science V3.0 Gamified Platform!
What Is Statistical Significance?
มุมมอง 298ปีที่แล้ว
What Is Statistical Significance?
Metrics vs KPIs
มุมมอง 13Kปีที่แล้ว
Metrics vs KPIs
Why Learn Data Visualization ?
มุมมอง 992 ปีที่แล้ว
Why Learn Data Visualization ?
What Is Business Intelligence? (BI Explained)
มุมมอง 942 ปีที่แล้ว
What Is Business Intelligence? (BI Explained)
What is A/B Testing?
มุมมอง 3222 ปีที่แล้ว
What is A/B Testing?
What Is Big Data?
มุมมอง 972 ปีที่แล้ว
What Is Big Data?
How Does Artificial Intelligence Understand Language? What is NLP? - Data Science Tutorial
มุมมอง 662 ปีที่แล้ว
How Does Artificial Intelligence Understand Language? What is NLP? - Data Science Tutorial
Why Colors Matter in Data Visualization? What is Color Theory? - Data Science Tutorials
มุมมอง 2.6K2 ปีที่แล้ว
Why Colors Matter in Data Visualization? What is Color Theory? - Data Science Tutorials

ความคิดเห็น

  • @supergaming6385
    @supergaming6385 17 วันที่ผ่านมา

    Cc

  • @DataScienceCenterbyVikasKumar
    @DataScienceCenterbyVikasKumar 21 วันที่ผ่านมา

    Confusion Matrix: th-cam.com/video/FVlqyKJMhy4/w-d-xo.html

  • @vddeepakk9382
    @vddeepakk9382 หลายเดือนก่อน

    Thank you for this! I wish you continue making videos. 😊

  • @775shahrukh
    @775shahrukh หลายเดือนก่อน

    More videos❤❤❤

  • @Papajoe159
    @Papajoe159 หลายเดือนก่อน

    Nice video

  • @anthonywandiya4547
    @anthonywandiya4547 ปีที่แล้ว

    Thank you for this wonderful video. Now I have a clue about Confusion Matrix

  • @ChromeDonutGaming
    @ChromeDonutGaming ปีที่แล้ว

    I'm writing Machine Learning tomorrow and since we had no classes for that module/subject I was stressed about confusion matrix. Now I understand , thanks for the tutorial

  • @basedthoven
    @basedthoven ปีที่แล้ว

    Great explanation, the math helps understand the concept

  • @bree6674
    @bree6674 ปีที่แล้ว

    👍

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  • @withraja3108
    @withraja3108 ปีที่แล้ว

    Nice video!

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    @nedkokrastev7877 ปีที่แล้ว

    Great info!

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