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Data Science and Machine Learning in Python (Udemy.com)

Learn how to use NumPy, Pandas, Seaborn , Scikit-Learn , Machine Learning, SQL and Tableau in one place!!

Created by: Gaurav Chauhan

Last updated May 2019

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating4.3 out of 5higher than 36% of them
  • Reviews50#139 of 156 by number of reviews
  • Length17.1 hourslonger than 74% of them
  • Last updatedMay 2019earlier than 77% of them

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Quality Score

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Overall Score : 86 / 100

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Course Description

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Harvard suggest that one of most important jobs in 21st century is a "Data Scientist" Data Scientist earn an average salary of a data scientist is over $120,000 in the USA ! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! If you have some programming experience or you are an experienced developers who is looking to turbo charge your career in Data Science. This course is for you!
You don't need to spend thousand of dollars on other course , this course provides all the same information at a very low cost.. With over 125+ HD lectures(Python, Machine Learning, SQL,TABLEAU) and detailed code notebooks for every lecture , it is an extremely detailed course available on Udemy. Basically everything you need to BECOME A DATA SCIENTIST IN ONE PLACE!!
You will learn true machine learning with Python, programming in python, data wrangling in Python and creating visualizations. Some of the topics you will be learning:
  • Programming with Python
  • NumPy with Python
  • Data Wrangling in Python
  • Use pandas to handle Excel Files, text file, JSON, Cloud(AWS) and others
  • Connecting Python to SQL
  • Use Seaborn for data visualizations
  • Complete SQL Using PostgreSQL
  • TABLEAU - One of the best data visualization software
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • Logistic Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Support Vector Machines
  • Naive Bayes
  • Hyper Parameter tuning
  • Feature Engineering
  • Model Selection
  • and much, much more!
Enroll in the course and become a data scientist today!Who this course is for:
  • Beginner Data Science/Machine Learning Enthusiast who want to step into the world of Machine Learning.
  • Anyone who wants to be become a Data Scientist

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Instructor Details

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Gaurav Chauhan has multiple years of experience in advance analytics and cloud computing. He has demonstrated through his professional journey through various industry wide publications and professional certifications. Currently Gaurav is working as a Sr. Data Scientist in IBM solving various daily challenges which his team of data scientists face everyday.Gaurav is a certified IBM Data Scientist, certified AWS Architect and holds multiple professional certifications to his name.

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More courses by Gaurav Chauhan

$11.99

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Reviews

4.3

50 ratings on Udemy

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By Dennis Linden

Hat die Grundlagen noch einmal gut aufbereitet.

By Chaya S

yes

By Sherneatha@gmail.com Gray

The lecture was clear and concise. I was able to follow

Showing all 3 reviews on CourseDuck

Read all 50 reviews on Udemy