Learning Python for Data Analysis and Visualization Ver 1

سرفصل های دوره

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!

01 - Intro to Course and Python

001 Course Intro

002 Course FAQs.html

02 - Setup

001 Installation Setup and Overview

002 IDEs and Course Resources

003 Lecture-4-Info.txt

003 iPythonJupyter Notebook Overview

external-links.txt

03 - Learning Numpy

001 Intro to numpy.html

002 Creating arrays

003 Using arrays and scalars

004 Indexing Arrays

005 Array Transposition

006 Universal Array Function

007 Array Processing

008 Array Input and Output

04 - Intro to Pandas

001 Series

002 DataFrames

003 Index objects

004 Reindex

005 Drop Entry

006 Selecting Entries

007 Data Alignment

008 Rank and Sort

009 Summary Statistics

010 Missing Data

011 Index Hierarchy

05 - Working with Data Part 1

001 Reading and Writing Text Files

002 JSON with Python

003 HTML with Python

004 Microsoft Excel files with Python

06 - Working with Data Part 2

001 Merge

002 Merge on Index

003 Concatenate

004 Combining DataFrames

005 Reshaping

006 Pivoting

007 Duplicates in DataFrames

008 Mapping

009 Replace

010 Rename Index

011 Binning

012 Outliers

013 Permutation

07 - Working with Data Part 3

001 GroupBy on DataFrames

002 GroupBy on Dict and Series

003 Aggregation

004 Splitting Applying and Combining

005 Cross Tabulation

08 - Data Visualization

001 Installing Seaborn

002 Histograms

003 Kernel Density Estimate Plots

004 Combining Plot Styles

005 Box and Violin Plots

006 Regression Plots

007 Heatmaps and Clustered Matrices

09 - Example Projects

001 Data Projects Preview

002 First-Data-Project.txt

002 Intro to Data Projects

003 First-Data-Project.txt

003 Titanic Project - Part 1

004 Titanic Project - Part 2

005 Titanic Project - Part 3

006 Titanic Project - Part 4

007 Intro to Data Project - Stock Market Analysis

008 Data Project - Stock Market Analysis Part 1

009 Data Project - Stock Market Analysis Part 2

010 Data Project - Stock Market Analysis Part 3

011 Data Project - Stock Market Analysis Part 4

012 Data Project - Stock Market Analysis Part 5

013 Data Project - Intro to Election Analysis

014 Data Project - Election Analysis Part 1

015 Data Project - Election Analysis Part 2

016 Data Project - Election Analysis Part 3

017 Data Project - Election Analysis Part 4

10 - Machine Learning

001 Introduction to Machine Learning with SciKit Learn

002 Linear Regression Part 1

003 Linear Regression Part 2

004 Linear Regression Part 3

005 Linear Regression Part 4

006 Logistic Regression Part 1

007 Logistic Regression Part 2

008 Logistic Regression Part 3

009 Logistic Regression Part 4

010 Multi Class Classification Part 1 - Logistic Regression

011 Multi Class Classification Part 2 - k Nearest Neighbor

012 Support Vector Machines Part 1

013 Support Vector Machines - Part 2

014 Naive Bayes Part 1

015 Naive Bayes Part 2

016 Decision Trees and Random Forests

017 Natural Language Processing Part 1

018 Natural Language Processing Part 2

019 Natural Language Processing Part 3

020 Natural Language Processing Part 4

11 - Appendix Statistics Overview

001 Intro to Appendix B

001 Viewer-Link-For-Stats-Notes.txt

002 Discrete Uniform Distribution

003 Continuous Uniform Distribution

004 Binomial Distribution

005 Poisson Distribution

006 Normal Distribution

007 Sampling Techniques

008 T-Distribution

009 Hypothesis Testing and Confidence Intervals

010 Chi Square Test and Distribution

011 Bayes Theorem

12 - Appendix SQL and Python

001 Introduction to SQL with Python

002 SQL - SELECT,DISTINCT,WHERE,AND & OR

003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions

13 - Appendix Web Scraping with Python

001 Web Scraping Part 1

002 Web Scraping Part 2

14 - Appendix Python Special Offers

001 Python Overview Part 1

002 Python Overview Part 2

003 Python Overview Part 3

15 - BONUS SECTION THANK YOU!

001 Bonus Lecture.html

139,000 تومان

خرید اشتراک افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy