Data Analytics: Intermediate II

TDA-ANA-02

Dr. Waraporn Viyanon

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Data Analytics: Intermediate II

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Data

8 หัวข้อหลัก

Pre-Learning Test Data Analytics: Intermediate II

20 คำถาม

Welcome to Data Intermediate II

00:05:49

What you will learn in this module

00:02:22

Computational Thinking

00:07:18

Function

00:08:14

Decomposition

00:13:15

Control Flow: For loop

00:08:14

Control Flow: While loop

00:10:39

Control Flow: If-Statement

00:07:00

Boolean Logic

00:11:11

Solving a Programming Problem (Part 1)

00:09:11

Solving a Programming Problem (Part 2)

00:14:12

Module Summary

00:03:04

Module 1: End Module Quiz

3 คำถาม

What you will learn in this module

00:04:06

Intro to Python

00:08:54

Jupyter Notebook

00:08:56

Variables (Part 1)

00:10:17

Variables (Part 2)

00:07:16

Variable Types and Type Conversion

00:08:47

Function and Argument (Part 1)

00:05:52

Function and Argument (Part 2)

00:10:17

Function and Argument (Part 3)

00:14:02

Advanced Function Arguments (Part 1)

00:09:34

Advanced Function Arguments (Part 2)

00:06:18

Advanced Function Arguments (Part 3)

00:09:50

Advanced Function Arguments (Part 4)

00:05:38

Advanced Function Arguments (Part 5)

00:05:09

Module

00:08:25

Print vs Return

00:06:40

Whitespace and Commenting

00:07:36

String

00:12:05

String Methods

00:06:11

String Iteration

00:05:10

Unicode String Comparison

00:08:06

Module Summary

00:06:49

Module 2: End Module Quiz

3 คำถาม

What you will learn in this module

00:03:08

List

00:09:40

List Iteration

00:08:53

List Operations

00:14:42

Range

00:08:43

Common Patterns with List

00:11:49

Dictionary

00:09:56

Dictionary Iteration

00:11:46

Sets (Part 1)

00:15:33

Sets (Part 2)

00:08:43

Tuples

00:09:24

Module Summary

00:03:44

Module 3: End Module Quiz

3 คำถาม

What you will learn in this module

00:03:20

File I/O

00:05:03

Reading a File (Part 1)

00:12:48

Reading a File (Part 2)

00:02:28

Reading a File (Part 3)

00:04:53

Writing to Files

00:11:43

Regular Expression (Part 1)

00:19:27

Regular Expression (Part 2)

00:06:51

re Module in Python

00:13:10

Object-oriented Programming (Part 1)

00:08:18

Object-oriented Programming (Part 2)

00:04:36

Object-oriented Programming (Part 3)

00:16:46

Object-oriented Programming (Part 4)

00:22:09

Class Inheritance (Part 1)

00:19:18

Class Inheritance (Part 2)

00:08:14

Class Inheritance (Part 3)

00:03:50

Module Summary

00:03:11

Module 4: End of Module Quiz

3 คำถาม

What you will learn in this module

00:03:47

Intro to Data Science

00:14:32

Data Science Workflow

00:13:14

Data Science Tools

00:06:13

Pandas

00:04:21

Series and DataFrame

00:14:13

Data Input and Validation

00:09:39

Coding: Data Input and Validation

00:11:25

Basic Analysis (Part 1)

00:09:12

Basic Analysis (Part 2)

00:11:31

Basic Analysis (Part 3)

00:04:31

Basic Analysis (Part 4)

00:06:24

Basic Analysis (Part 5)

00:08:39

Basic Analysis (Part 6)

00:11:47

Module Summary

00:05:31

Module 5: End of Module Quiz

3 คำถาม

What you will learn in this module

00:04:13

Indexing

00:14:08

Exploratory Data Analysis (EDA)

00:12:05

Coding: EDA with Pandas-I (Part 1)

00:12:29

Coding: EDA with Pandas-I (Part 2)

00:30:21

Coding: EDA with Pandas-I (Part 3)

00:10:29

Coding: EDA with Pandas-I (Part 4)

00:05:03

Coding: EDA with Pandas-I (Part 5)

00:10:58

Plotting with Pandas

00:11:48

Coding: Plotting with Pandas (Part 1)

00:13:00

Coding: Plotting with Pandas (Part 2)

00:04:18

Coding: Plotting with Pandas (Part 3)

00:11:33

Coding: Plotting with Pandas (Part 4)

00:19:29

Coding: EDA with Pandas-II (Part 1)

00:09:35

Coding: EDA with Pandas-II (Part 2)

00:15:20

Coding: EDA with Pandas-II (Part 3)

00:11:24

Coding: EDA with Pandas-II (Part 4)

00:11:13

Missing Values and Groupby

00:03:51

Module Summary

00:04:04

Module 6: End of Module Quiz

3 คำถาม

Course Wrap Up

00:04:28

Post-Learning Test Data Analytics: Intermediate II

20 คำถาม

Learning Record

Dr. Waraporn Viyanon

Dr. Waraporn is an Assistant Professor and a Lecturer of data analytics and data science at Faculty of Science, Srinakharinwirot University.

ประกอบด้วย

15 ชั่วโมง วิดีโอการเรียน

98 หัวข้อ

8 แบบทดสอบเพื่อวัดความรู้

ฟรี

ขออภัยคุณไม่มีสิทธิ์เรียนหลักสูตรนี้

ประกอบด้วย

15 ชั่วโมง วิดีโอการเรียน

98 หัวข้อ

8 แบบทดสอบเพื่อวัดความรู้

Data Analytics: Intermediate II

บทนำ

Module 1: Foundations of Programming 13 หัวข้อ - 1 ชั่วโมง 40 นาที

Module 2: Introduction to Python 23 หัวข้อ - 2 ชั่วโมง 55 นาที

Module 3: Python Data Structures 13 หัวข้อ - 1 ชั่วโมง 56 นาที

Module 4: Intermediate Python 18 หัวข้อ - 2 ชั่วโมง 46 นาที

Module 5: Introduction to Pandas 16 หัวข้อ - 2 ชั่วโมง 14 นาที

Module 6: EDA with Pandas 21 หัวข้อ - 3 ชั่วโมง 39 นาที

บทสุดท้าย

Dr. Waraporn Viyanon