Introduction to Data Science

This course is really comprehensive. We'll start with a crash course in the Python programming language and a review of basic statistics and probability; but then we've got about 70 different topics to cover in data mining, AI and machine learning including Bayes Theorem, regressions, clustering techniques, experimental design, decision trees and much more; and we'll build real neural networks using Tensorflow and Keras.

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Created by Frank Kane Last updated Thu, 19-Mar-2020 English
What will i learn?
  • Being able to learn real world Data Scince coding
  • Introducing you to the world of Data Science

Curriculum for this course
2 Lessons 00:08:26 Hours
Getting Started
2 Lessons 00:08:26 Hours
  • What you need 00:02:37
  • Activity Installing Enthought Canopy 00:05:49
Requirements
  • Prior coding experience
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Description

This course is really comprehensive. We'll start with a crash course in the Python programming language and a review of basic statistics
and probability; but then we've got about 70 different topics to cover in data mining, AI and machine learning including
Bayes Theorem, regressions, clustering techniques, experimental design, decision trees and much more; and
we'll build real neural networks using Tensorflow and Keras. Some topics are pretty fun. We'll actually implement a
movie recommendation system using actual movie ratings data, we'll create a spam detection system using
bayesian methods, we'll create a search engine that works with real Wikipedia data.
We've got a whole section on how to scale up to big data on a Hadoop cluster using Apache Spark and
we'll do handwriting recognition and sentiment analysis using a variety of artificial intelligence techniques,
we'll basically build our own little artificial brain. If you're a software developer or programmer looking to land a career in data science or machine learning,
this course will teach you today's hottest skills without a bunch of intimidating mathematical notation.
We'll turn concepts right into code using Python with no nonsense and no academic pretense.
Maybe you are just curious about how deep learning works you'll come out of this course understanding it, it's not as hard as you think,
all you need is some prior coding experience or a scripting experience to be successful on this course.

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Includes:
  • 00:08:26 Hours On demand videos
  • 2 Lessons
  • Full lifetime access
  • Access on mobile and tv