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Data Science Crash Course

IT & Software

Rating3.9
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Data Science Crash Course, available at Free, has an average rating of 3.9, with 11 lectures, 1 quizzes, based on 72 reviews, and has 5431 subscribers.

You will learn about Data Science Fundamentals Python basic concepts This course is ideal for individuals who are People curious about Data Science or Beginning Data Scientists It is particularly useful for People curious about Data Science or Beginning Data Scientists.

Enroll now: Data Science Crash Course

Summary

Title: Data Science Crash Course

Price: Free

Average Rating: 3.9

Number of Lectures: 11

Number of Quizzes: 1

Number of Published Lectures: 11

Number of Published Quizzes: 1

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • Data Science Fundamentals
  • Python basic concepts

Who Should Attend

  • People curious about Data Science
  • Beginning Data Scientists

Target Audiences

  • People curious about Data Science
  • Beginning Data Scientists

** The fastest course to teach you about fundamentals of Data Science **

Welcome to Data Science Crash Course, where  through 1 hours of videos, a complete set of lecture notes and additional texts you’ll be able to get what Data Science is about.

You will be able to run Python on your laptop and perform simple Data Science experiments.

You will understand a difference between supervised and unsupervised learning, classification and clustering and basic methods for them:

  • KNN, Decision Trees, Linear Regression, Neural Networks

  • k-means, DBSCAN

We will talk about Keras and Tensorflow, as well as about visualizing your data using matplotlib and Dash.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Fundamentals of Data Science

Lecture 1: Anaconda and Jupyter Notebooks

Lecture 2: Linear Algebra and Statistics

Chapter 3: Working with Data

Lecture 1: Processing Data

Lecture 2: Getting Data

Chapter 4: Data Science Methods

Lecture 1: Classification and Supervised Learning

Lecture 2: Clustering and Unsupervised Learning

Lecture 3: Neural Networks

Lecture 4: Dimensionality Reduction

Chapter 5: Visualizing Data

Lecture 1: Visualization in Python

Chapter 6: What's next after this course?

Lecture 1: Build a Data Science Career

Instructors

Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 7 votes
  • 3 stars: 19 votes
  • 4 stars: 22 votes
  • 5 stars: 21 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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