Python for Data Analysis & Visualization

سرفصل های دوره

Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

01 - Course Welcome & Set Up

001 Course Overview

002 Udemy 101.html

003 Python Overview

004 Anaconda Distribution Installation

005 Jupyter Notebook 101

006 Jupyter Notebook - Adding Comments in Cells

007 Course Resources - Important!

007 Course-Resurces-Python-for-Data-Analysis-and-Visualization.zip

02 - Objects, Variables and Data Types

001 Objects and Variables Overview

002 Numbers

003 Integer Variables.html

004 Coding Exercise Solution.html

005 Float Variables.html

006 Coding Exercise Solution.html

007 Strings

008 Print Formatting with Strings.html

009 Coding Exercise Solution.html

010 String Operations

011 String Indexing and Slicing Quiz.html

012 String Methods and Properties

013 String Methods.html

014 Coding Exercise Solution.html

015 String Concatenation and Formatting

016 Lists

017 Lists.html

018 Coding Exercise Solution.html

019 Lists.html

020 Coding Exercise Solution.html

021 Dictionaries

022 Dictionaries.html

023 Coding Exercise Solution.html

024 Tuples and Sets

025 Tuples and Sets.html

026 Coding Exercise Solution.html

027 Booleans

028 Key Words in Python.html

029 Data Types.html

03 - Control Flow and Loops

001 Python Operators

002 Control Flow

003 Control Flow.html

004 Coding Exercise Solution.html

005 For Loops

006 For Loops (continued)

007 For Loops.html

008 Coding Exercise Solution.html

009 For Loops.html

010 Coding Exercise Solution.html

011 While Loops

012 Break, Continue and Pass Statements

013 List Comprehension

014 List Comprehension.html

015 Coding Exercise Solution.html

016 IN and NOT IN

04 - Functions

001 Built-In Functions

002 Built-In Functions.html

003 Coding Exercise Solution.html

004 User Defined Functions

005 User Defined Functions - Examples

006 User Defined Functions.html

007 Coding Exercise Solution.html

008 User Defined Functions.html

009 Coding Exercise Solution.html

010 Arguments and Keyword Arguments

011 Map and Filter

012 Lambda Functions

013 Lambda Functions.html

014 Coding Exercise Solution.html

015 Errors and Exception Handling

05 - Challenge Section - Core Python

001 Challenge Questions Overview

002 Solutions Walkthrough

003 Corection Solutions.html

06 - Modules, Packages and Libraries

001 Built-In Modules

002 External Libraries

07 - NumPy

001 NumPy Overview

002 Array Slicing and Indexing

003 Array Manipulation Functions

004 Additional Array Creation Functions

005 Array Arithmetic and Mathematical Functions

006 IO Functions in NumPy

08 - Challenge Section - NumPy

001 Challenge Questions

002 Challenge Solutions

09 - Pandas

001 Pandas Overview

002 Introduction to Series

003 Introduction to DataFrames

004 Selecting Data 1

005 Selecting Data 2

006 Data Manipulation 1

007 Data Manipulation 2

008 Data Aggregation and Grouping

009 Data Cleansing

010 Combining DataFrames

011 Windowing Operations

10 - Challenge Section - Pandas

001 Challenge Questions - TfL Dataset

002 Solutions Walkthrough

003 Challenge Questions - Employees Dataset

004 Solutions Walkthrough

11 - Data Sources

001 Excel and CSV

002 HTML

003 Databases

004 Pandas Input and Output Methods

12 - Matplotlib

001 Matplotlib Overview

002 Choosing the Right Chart Type

003 Creating a Plot Area 1

004 Creating a Plot Area 2

005 Bar Plots

006 Line Plots

007 FIFA 21 Player Dataset.html

008 Scatter Plots

009 Histograms

010 Box Plots and Violin Plots

011 Style and Presentation

012 Additional Resources and Cheat Sheets

13 - Challenge Section - Matplotlib

001 Challenge Questions Overview

002 Solutions Walkthrough

14 - Seaborn

001 Seaborn Overview

002 Categorical Plots

003 Relational Plots

004 Distribution Plots

005 Regression Plots

006 Matrix Plots

007 Multi Plot Grids

008 Style and Presentation

15 - Challenge Section - Seaborn

001 Challenge Questions Overview

002 Solutions Walkthrough

16 - Plotly Express

001 Plotly Express Overview

002 Interactive Charts in Plotly Express

003 3D Charts

004 BONUS Further Learning

005 BONUS Further Learning Resources.html

17 - Keep learning with me

001 BONUS Check out my other courses.html

“Master Data Structures and Algorithms in Python” به سبد خرید شما اضافه شد. مشاهده سبد خرید

189,000 تومان

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