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Data Science for Beginners: Data Science Intro Course
Rating: 4.6 out of 5(116 ratings)
399 students

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!
Created byErmin Dedic
Last updated 11/2021
English

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.

Explore related topics

Course content

7 sections • 36 lectures • 2h 51m total length

  • Matching Activity: Match Project and Data Role5:54

    Data Scientist, Data Analyst, Business Analyst, and Data Engineer. These are the typical roles in the data science world. Do you know which position you want? Will this activity change your intentions for the future? Did you guess right?

  • Intro to Data Science2:41

    What is Data Science?

  • What a Data Scientist Does?2:13

    A data scientist can produce a few different types of 'products' depending on the need.

  • Big Data2:21

    I go over the 5 V's, which explain what we mean by Big Data.

  • Data Mining4:16

    Data Mining is an attempt to find patterns in data by using different techniques.

  • Machine Learning vs. Deep Learning3:57

    I distinguish between machine learning and deep learning.

  • Advice to Data Scientists4:39

    A few points of advice for those wanting to start a career in Data Science!

Requirements

  • No. This is ideal for a beginner to Data Science.

Description

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!


Who this course is for:

  • Beginners to Data Science.
  • Individuals considering switching fields.
  • Individuals who want to get a general overview before focusing on specific Data Science topics.

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