2.2 out of 5
2.2
394 reviews on Udemy

Complete Data Science Course: Beginner to Advance

Learn Data Science like a professional! Start as a beginner and go all the way to advanced from scratch.
Instructor:
It Corp
31,460 students enrolled
English [Auto]
Basics Of Data Science
Programming - Data Science
Visualization
Metrics
Classification
Clustering
Dimensionality Reduction
Regression
Natural Language Processing
Probability
Statistics
Big Data and Machine Learning

Welcome to my course “Complete Data Science Course: Beginner to Advance”. By using this comprehensive course you will learn the basics of Data Science, Some of the advanced methods of Data Science and much more.In this course i will assume that you have no prior knowledge about Data Science and by the end of the course you will be at advanced level. This course will guide you step by step so that you will learn basics and theory of every part. In this complete Data Science course you will learn,

  • Big Data and Data Science

  • Programming For Data Science

  • Visualization

  • Metrics

  • Classification

  • Clustering

  • Dimensionality Reduction

  • Regression

  • Natural Language Processing

  • Probability

  • Statistics

  • Big Data and Machine Learning

In every part first you shall learn the basics and theory then we will cover the main topics.

You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
2.2
2.2 out of 5
394 Ratings

Detailed Rating

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30-Day Money-Back Guarantee

Includes

3 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion

Archive

Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed