Udemy

Data Science for Beginners: Data Science Intro Course

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  • 387 Students
  • Updated 11/2021
4.5
(111 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 51 Minute(s)
Language
English
Taught by
Ermin Dedic
Rating
4.5
(111 Ratings)
2 views

Course Overview

Data Science for Beginners: Data Science Intro Course

A data science intro course. Data Science concepts, methodology, illustration of machine learning via chatbot, and more!

Welcome! If you see Data Science as a potential career in your future, this is the perfect course to get started with.

Our course does not require any previous data science experience. The goal of 'Data Science for Beginners' is to get you acquainted with data science methodology, data science concepts, and programming languages; give you a peek into how machine learning works; and finally show you a data science tool like GitHub, which lets you collaborate with your colleagues.

Now, while this is a beginner course, it does not mean it is easy. For example, in the Data Science methodology section, many different concepts are introduced. But please keep in mind that a. you will get concrete examples of what each concept means when it is brought up b. you can ask questions in the Q and A and c. most importantly, you are not meant to understand all the concepts.  Going through the methodology is meant to introduce you to concepts, not prepare you to apply them fully. You will have a chance to do this in other courses (ours or those offered by other providers).

Beyond this, you will get to build a simple chatbot. This hands-on activity will illustrate, in a more interactive way, how machine learning works and how you can provide a machine learning service like this in your future career.

So, don't hesitate. Start your data science learning journey today!


Course Content

  • 7 section(s)
  • 36 lecture(s)
  • Section 1 Introduction to Data Science Concepts
  • Section 2 Programming Languages
  • Section 3 Data Science Methodology
  • Section 4 Data Science Via Chatbot
  • Section 5 Libraries, API's, Datasets
  • Section 6 Github
  • Section 7 Final Section and Survey

What You’ll Learn

  • Explanation of key concepts in data science: big data, data mining, libraries, datasets, API's
  • Programming languages and which ones to learn
  • Data Science Methodology, expressed via Healthcare Insurance Company Case Study
  • Experience The Power of Machine Learning and Natural Language Processing via Chatbot Example
  • GitHub
  • how to use it for collaboration and version control.

Reviews

  • A
    Aurora Biondo
    5.0

    .

  • T
    Tanatswa Trish NGWAUDZO
    4.5

    lt was very helpful for me it upgraded my knowlege

  • k
    kiran kumar k
    5.0

    About data science introduction and who are data scientists and big data and 3v's

  • V
    Venkateshwar Rao Nalla
    4.5

    THanks

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