Your very first course in Data Science
Free tutorial
Created by Przemek Chojecki
English
What you’ll learn
- Data Science Fundamentals
- Python basic concepts
Requirements
- There are no requirements for this course
Description
** The fastest course to teach you about the fundamentals of Data Science **
Welcome to the Data Science Crash Course, where through 1 hour 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 the difference between supervised and unsupervised learning, classification and clustering and the 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.
Who this course is for:
- People curious about Data Science
- Beginning Data Scientists
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Course content
6 sections • 11 lectures • 52m total lengthCollapse all sections
Introduction1 lecture • 5min
- Introduction04:56
Fundamentals of Data Science2 lectures • 9min
- Anaconda and Jupyter Notebooks03:55
- Install Anaconda and run a Jupyter Notebook1 question
- Linear Algebra and Statistics04:52
Working with Data2 lectures • 10min
- Processing Data05:07
- Getting Data04:56
- Quiz on Data2 questions
Data Science Methods4 lectures • 23min
- Classification and Supervised Learning08:03
- Clustering and Unsupervised Learning06:18
- Neural Networks05:20
- Dimensionality Reduction03:24
Visualizing Data1 lecture • 5min
- Visualization in Python04:33
What’s next after this course?1 lecture • 1min
- Build a Data Science Career00:40
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