Analyze Features With Python And Seaborn In Google Colab

Beginners python data analytics : Data science introduction : Learn data science : Python data analysis methods tutorial
What you'll learn
Learn how to work with different types of data
Calculate the measures of central tendency, asymmetry, and variability
Distinguish and work with different types of distributions
Perform hypothesis testing
Requirements
Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.
Description
Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & MoreTHIS 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!NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:You'll start by absorbing the most valuable Python Data Science basics and techniques...I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real life.After taking this course, you'll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python.You'll even understand deep concepts like statistical modelling in Python's Statsmodels package and the difference between statistics and machine learning (including hands-on techniques).I will even introduce you to deep learning and neural networks using the powerful H2o framework!
Overview
Section 1: 00 Course Overview
Lecture 1 Course Overview
Section 2: 01 Mammoth Interactive Courses Introduction
Lecture 2 00 About Mammoth Interactive
Lecture 3 01 How to Learn Online Effectively
Lecture 4 source files
Section 3: 02 What is Machine Learning (Prerequisite)
Lecture 5 01 What is Machine Learning
Lecture 6 02 Types of Machine Learning Models
Lecture 7 03 What is Supervised Learning
Section 4: 03 Introduction to Python (Prerequisite)
Lecture 8 00. Intro To Course And Python
Lecture 9 01. Variables
Lecture 10 02. Type Conversion Examples
Lecture 11 03. Operators
Lecture 12 04. Collections
Lecture 13 05. List Examples
Lecture 14 06. Tuples Examples
Lecture 15 07. Dictionaries Examples
Lecture 16 08. Ranges Examples
Lecture 17 09. Conditionals
Lecture 18 10. If Statement Examples
Lecture 19 11. Loops
Lecture 20 12. Functions
Lecture 21 13. Parameters And Return Values Examples
Lecture 22 14. Classes And Objects
Lecture 23 15. Inheritance Examples
Lecture 24 16. Static Members Examples
Lecture 25 17. Summary And Outro
Lecture 26 Source files
Section 5: 04 Perform Feature Analysis and Data Science
Lecture 27 01 Load And Create Data
Lecture 28 02 Perform Exploratory Data Analysis
Lecture 29 03 Visualize Data With Different Plots
Lecture 30 04 Analyze Features With More Plots
Lecture 31 05 Build Plots With Seaborn
Lecture 32 06 Build A Bokeh Plot
Lecture 33 07 Build A 3D Scatter Plot
Lecture 34 08 Rank Feature Importance
Lecture 35 09 Compare Positive And Negative Returns
Lecture 36 Source Files
People who want a career in Data Science,People who want a career in Business Intelligence,Business analysts,Business executives


Homepage

https://www.udemy.com/course/analyze-features-with-python-and-seaborn-in-google-colab/