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Data Science and Machine Learning in Python

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


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!

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