[Udemy] - Complete Data Science Training with Python - Latest

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.8 GB
  • Uploaded Byabia9220
  • Downloads154
  • Last checkedJul. 20th '19
  • Date uploadedJul. 19th '19
  • Seeders 8
  • Leechers9
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Infohash : A65B6171F4BA8A3DF0DBC5991EE35B8DCE11B260

[Udemy] - Complete Data Science Training with Python
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Description

THIS IS A COMPLETE DATA SCIENCE TRAINING WITH PYTHON FOR DATA ANALYSIS:

It's A Full 12-Hour Python Data Science BootCamp To Help You Learn Statistical Modelling, Data Visualization, Machine Learning & Basic Deep Learning In Python!

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

First of all, this course a complete guide to practical data science using Python...

That means, this course covers ALL the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python-based data science.

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level!

Requirements

1. Be Able To Use PC At A Beginner Level, Including Being Able To Install Programs
2. A Desire To Learn Data Science
3. Prior Knowledge Of Python Will Be Useful But NOT Necessary

Who this course is for:

1. Anyone Who Wishes To Learn Practical Data Science Using Python
2. Anyone Interested In Learning How To Implement Machine Learning Algorithms Using Python
3. People Looking To Get Started In Deep Learning Using Python
4. People Looking To Work With Real-Life Data In Python
5. Anyone With A Prior Knowledge Of Python Looking To Branch Out Into Data Analysis
6. Anyone Looking To Become Proficient In Exploratory Data Analysis, Statistical Modelling & Visualizations Using iPython

Download More Latest Courses Visit -->> FreeCourseIt


Files:

  • [Udemy] - Complete Data Science Training with Python.rar (1.8 GB)

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