⌨️ () 4. EDA Football（00:50:39 - 01:00:48）
Build 12 Data Science Apps with Python and Streamlit - Full Course

Learn how to build interactive and data-driven web apps in Python using the Streamlit library.

✏️ Course developed by Chanin Nantasenamat (aka Data Professor). Check out his YouTube channel for more data science tutorials: http://youtube.com/dataprofessor
🔗 And Medium blog posts for more data science tutorials: https://data-professor.medium.com/

⭐️ Course Contents ⭐️
⌨️ (0:00) Introduction
⌨️ (2:54) 1. Simple Stock Price
⌨️ (13:24) 2. Simple Bioinformatics DNA Count
⌨️ (29:44) 3. EDA Basketball
⌨️ (50:39) 4. EDA Football
⌨️ (1:00:48) 5. EDA SP500 Stock Price
⌨️ (1:24:03) 6. EDA Cryptocurrency
⌨️ (1:50:47) 7. Classification Iris
⌨️ (1:58:58) 8. Classification Penguins
⌨️ (2:16:08) 9. Regression Boston Housing
⌨️ (2:27:53) 10. Regression Bioinformatics Solubility
⌨️ (2:54:27) 11. Deploy to Heroku
⌨️ (3:04:37) 12. Deploy to Streamlit Sharing

⭐️ Code ⭐️
💻 1. Simple Stock Pric
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_1_simple_stock_price
💻 2. Simple Bioinformatics DNA Coun
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_2_simple_bioinformatics_dna
💻 3. EDA Basketbal
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_3_eda_basketball
💻 4. EDA Footbal
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_4_eda_football
💻 5. EDA SP500 Stock Pric
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_5_eda_sp500_stock
💻 6. EDA Cryptocurrenc
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_6_eda_cryptocurrency
💻 7. Classification Iri
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_7_classificatio_iris
💻 8. Classification Penguin
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_8_classification_penguins
💻 9. Regression Boston Housin
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_9_regression_boston_housing
💻 10. Regression Bioinformatics Solubilit
https://github.com/dataprofessor/streamlit_freecodecamp/tree/main/app_10_regression_bioinformatics_solubility
💻 11. Deploy to Heroku
https://github.com/dataprofessor/penguins-heroku

⭐️ More ways to connect with Chanin Nantasenamat ⭐️
✅ Website: http://dataprofessor.org/
✅ Newsletter: http://newsletter.dataprofessor.org
✅ Twitter: https://twitter.com/thedataprof/
✅ FaceBook: http://facebook.com/dataprofessor/
✅ Instagram: https://www.instagram.com/data.professor/
✅ LinkedIn: https://www.linkedin.com/in/chanin-nantasenamat/
✅ GitHub: https://github.com/dataprofessor/

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

⌨️ () Introduction

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

00:00:00 - 00:02:54

I am sorry sir, what is your name again ? =)))I could not understand it...Nice course tho !

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

00:00:05 - 03:11:52

this works because the original dataframe has all of its columns as object, you will need to cast to int/float accordingly. So the workaround, export then import as csv, actually casts the data to the correct datatype.

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

00:50:00 - 03:11:52

⌨️ () 4. EDA Football

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

00:50:39 - 01:00:48

⌨️ () 5. EDA SP500 Stock Price

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

01:00:48 - 01:24:03

@ when you deployed the S&P 500 app that you wrote in Colab. Did you just copy the code and save as .py and deploy as per the previous tutorials? I have tried deploying from colab directly with no success.

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

01:15:26 - 03:11:52

⌨️ () 6. EDA Cryptocurrency

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

01:24:03 - 01:50:47

⌨️ () 7. Classification Iris

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

01:50:47 - 01:58:58

⌨️ () 8. Classification Penguins

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

01:58:58 - 02:16:08

⌨️ () 9. Regression Boston Housing

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

02:16:08 - 02:27:53

⌨️ () 10. Regression Bioinformatics Solubility

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

02:27:53 - 02:54:27

⌨️ () 11. Deploy to Heroku

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

02:54:27 - 03:04:37

th app discussed at

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

03:04:37 - 03:11:52

⌨️ () 12. Deploy to Streamlit Sharing

Build 12 Data Science Apps with Python and Streamlit - Full Course

2021年01月08日　

03:04:37 - 03:11:52

チャンネル登録

freeCodeCamp.org

※本サイトに掲載されているチャンネル情報や動画情報はYouTube公式のAPIを使って取得・表示しています。

概要カレンダー動画一覧タイムテーブルチャンネル分析

Timetable

動画タイムテーブル

よく話題になっている単語を表示する

動画数：1634件

字幕を含める

⌨️ () Introduction

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:00:00 - 00:04:42

⌨️ () Syllabus & resources

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:04:42 - 00:09:04

⌨️ () Meet SQL!

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:09:04 - 00:10:30

⌨️ () Types of SQL statements

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:10:30 - 00:12:20

⌨️ () Why BigQuery

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:12:20 - 00:13:27

⌨️ () How to setup Google Cloud

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:13:27 - 00:17:02

⌨️ () How to avoid Google Cloud charges

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:17:02 - 00:22:11

⌨️ () Introduction to our data

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:22:11 - 00:23:16

⌨️ () How data is organized in BigQuery

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:23:16 - 00:26:53

⌨️ () Loading our data in BigQuery

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:26:53 - 00:30:09

⌨️ () The BigQuery Interface

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:30:09 - 00:37:54

⌨️ () Running our first query

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:37:54 - 00:46:20

⌨️ () How SQL organizes data

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:46:20 - 00:54:32

⌨️ () The SQL statement

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:54:32 - 00:56:05

⌨️ () The three orders of SQL operations

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

00:56:05 - 01:00:05

⌨️ () The logical order of SQL operations

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:00:05 - 01:03:28

⌨️ () Introduction to basics

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:03:28 - 01:04:10

⌨️ () SELECT and FROM

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:04:10 - 01:08:22

⌨️ () Transform columns with SELECT

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:08:22 - 01:19:32

⌨️ () The order of arithmetic operations

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:19:32 - 01:24:03

⌨️ () The WHERE filter

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:24:03 - 01:31:28

⌨️ () Boolean algebra

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:31:28 - 01:48:07

⌨️ () DISTINCT

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:48:07 - 01:52:04

⌨️ () Create BigQuery tables from queries

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:52:04 - 01:57:38

⌨️ () UNION 1

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

01:57:38 - 02:05:15

⌨️ () UNION 2

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

02:05:15 - 02:11:57

⌨️ () UNION 3

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

02:11:57 - 02:19:58

⌨️ () UNION 4

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

02:19:58 - 02:22:41

⌨️ () ORDER BY

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

02:22:41 - 02:28:52

⌨️ () LIMIT

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

02:28:52 - 02:34:06

⌨️ () CASE

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

02:34:06 - 02:52:29

⌨️ () Simple aggregations

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

02:52:29 - 03:06:59

⌨️ () Subqueries 1

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:06:59 - 03:16:28

⌨️ () Subqueries 2

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:16:28 - 03:25:46

⌨️ () Subqueries 3

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:25:46 - 03:29:43

⌨️ () Nested queries

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:29:43 - 03:40:11

⌨️ () Common table expressions 1

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:40:11 - 03:48:12

⌨️ () Common table expressions 2

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:48:12 - 03:53:08

⌨️ () Common table expressions 3

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:53:08 - 03:59:18

⌨️ () Joins

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

03:59:18 - 05:15:39

⌨️ () GROUP BY And Aggregations

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

05:15:39 - 06:04:11

⌨️ () Window Functions

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

06:04:11 - 07:09:50

⌨️ () Putting It All Together

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

07:09:50 - 07:15:56

⌨️ () Let's Solve A Hard SQL Challenge!

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

07:15:56 - 07:33:54

⌨️ () PostgreSQL Exercises - Introduction

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

07:33:54 - 07:42:00

⌨️ () PostgreSQL Exercises - Basic

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

07:42:00 - 08:10:33

⌨️ () PostgreSQL Exercises - Joins and Subqueries

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

08:10:33 - 08:56:45

⌨️ () PostgreSQL Exercises - Aggregations Pt. 1

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

08:56:45 - 09:57:51

⌨️ () PostgreSQL Exercises - Aggregations Pt. 2

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

09:57:51 - 10:57:51

⌨️ () PostgreSQL Exercises - Conclusion

Intuitive SQL For Data Analytics - Tutorial

2024年04月23日　

10:57:51 - 11:00:16

| (1)

CTO Andrew Brown on DevOps + Cloud Certification Exams [freeCodeCamp Podcast #120]

2024年04月19日　 @miguelsalazar8663 様　

00:44:26 - 01:43:06

| (2)

CTO Andrew Brown on DevOps + Cloud Certification Exams [freeCodeCamp Podcast #120]

2024年04月19日　 @miguelsalazar8663 様　

01:43:06 - 02:35:23

⌨️ () Overview

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:00:00 - 00:05:53

⌨️ () Indexing

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:05:53 - 00:10:40

Love the teaching style! at you mention that you've walked through the code previously. Is there another video to go with this one or did I miss something?

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　 @CodeKitchen 様　

00:09:00 - 02:33:11

⌨️ () Retrieval

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:10:40 - 00:15:52

⌨️ () Generation

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:15:52 - 00:22:14

⌨️ () Query Translation (Multi-Query)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:22:14 - 00:28:20

Hello, at why is he using itemgetter to pass the question? What's the difference between doing that and setting a RunnablePassthrough() in there?

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　 @Josholsan 様　

00:27:13 - 02:33:11

⌨️ () Query Translation (RAG Fusion)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:28:20 - 00:33:57

⌨️ () Query Translation (Decomposition)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:33:57 - 00:40:31

⌨️ () Query Translation (Step Back)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:40:31 - 00:47:24

⌨️ () Query Translation (HyDE)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:47:24 - 00:52:07

⌨️ () Routing

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:52:07 - 00:59:08

⌨️ () Query Construction

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

00:59:08 - 01:05:05

⌨️ () Indexing (Multi Representation)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

01:05:05 - 01:11:39

⌨️ () Indexing (RAPTOR)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

01:11:39 - 01:19:19

⌨️ () Indexing (ColBERT)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

01:19:19 - 01:26:32

⌨️ () CRAG

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

01:26:32 - 01:44:09

⌨️ () Adaptive RAG

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

01:44:09 - 02:12:02

⌨️ () The future of RAG

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

2024年04月17日　

02:12:02 - 02:33:11

⌨️ () Video Introduction

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:00:00 - 00:03:49

⌨️ () Introduction to Data Science and A/B Testing

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:03:49 - 00:05:38

⌨️ () Basics of A/B Testing in Data Science

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:05:38 - 00:07:06

⌨️ () Key Parameters of A/B Testing for Data Scientists

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:07:06 - 00:09:24

⌨️ () Formulating Hypotheses and Identifying Primary Metrics in Data Science A/B Testing

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:09:24 - 00:19:55

⌨️ () Designing an A/B Test: Data Science Approach

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:19:55 - 00:37:56

⌨️ () Resources for A/B Testing in Data Science

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:37:56 - 00:39:22

⌨️ () Analyzing A/B Test Results in Python: Data Science Techniques

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

00:39:22 - 01:01:00

⌨️ () Data Science Portfolio Project: Case Study with AB Testing

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

01:01:00 - 01:04:38

⌨️ () Reintroduction to A/B Testing in the Data Science Process

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

01:04:38 - 01:21:07

⌨️ () Data Science Techniques: Loading Data with Pandas for A/B Testing

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

01:21:07 - 01:29:19

⌨️ () Data Science Visualization: Using Matplotlib and Seaborn for A/B Test Click Data

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

01:29:19 - 01:38:38

⌨️ () Data Science Power Analysis: Understanding A/B Test Model Parameters

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

01:38:38 - 01:44:25

⌨️ () Data Science Calculations: Pooled Estimates and Variance for A/B Testing

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

01:44:25 - 02:06:48

⌨️ () Computing A/B Test P-Values: Data Science Methods for Statistical Significance

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

02:06:48 - 02:12:42

⌨️ () Practical Significance in A/B Testing: A Data Science Perspective

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

02:12:42 - 02:29:07

⌨️ () Conclusion: Wrapping Up A/B Testing in Data Science

Data Science Essentials – Crash Course in A/B Testing with Case Study

2024年04月16日　

02:29:07 - 02:33:06

⌨️ () Introduction

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:00:00 - 00:01:21

⌨️ () Create account

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:01:21 - 00:02:15

⌨️ () Create server

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:02:15 - 00:07:53

⌨️ () Install software

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:07:53 - 00:11:52

⌨️ () Configure Postgresql

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:11:52 - 00:15:56

⌨️ () Users and environment

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:15:56 - 00:19:41

⌨️ () Requirements.txt

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:19:41 - 00:22:26

⌨️ () Separate settings file

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:22:26 - 00:24:01

⌨️ () Introducing Git

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:24:01 - 00:31:36

⌨️ () Environmental variables

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:31:36 - 00:33:16

⌨️ () Init database

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:33:16 - 00:36:46

⌨️ () Configure Gunicorn

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:36:46 - 00:45:25

⌨️ () Configure Supervisor

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:45:25 - 00:48:44

⌨️ () Configure Nginx

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:48:44 - 00:57:38

⌨️ () SSL / Let's Encrypt

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:57:38 - 00:59:26

⌨️ () Repeat procedure

Digital Ocean Tutorial – Deploy Django and Other Frameworks

2024年04月15日　

00:59:26 - 01:15:47

⌨️ () 4. EDA Football（00:50:39 - 01:00:48）Build 12 Data Science Apps with Python and Streamlit - Full Course

⌨️ () Introduction

I am sorry sir, what is your name again ? =)))I could not understand it...Nice course tho !

⌨️ () 1. Simple Stock Price

in conda activate "dp" <- this could not find

⌨️ () 2. Simple Bioinformatics DNA Count

⌨️ () 3. EDA Basketball

not working showing error like this

Han Solo: "let's now have a look at the code Chewie !"

this works because the original dataframe has all of its columns as object, you will need to cast to int/float accordingly. So the workaround, export then import as csv, actually casts the data to the correct datatype.

⌨️ () 4. EDA Football

⌨️ () 5. EDA SP500 Stock Price

@ when you deployed the S&P 500 app that you wrote in Colab. Did you just copy the code and save as .py and deploy as per the previous tutorials? I have tried deploying from colab directly with no success.

⌨️ () 6. EDA Cryptocurrency

⌨️ () 7. Classification Iris

⌨️ () 8. Classification Penguins

⌨️ () 9. Regression Boston Housing

⌨️ () 10. Regression Bioinformatics Solubility

⌨️ () 11. Deploy to Heroku

th app discussed at

⌨️ () 12. Deploy to Streamlit Sharing

freeCodeCamp.org

Timetable

よく話題になっている単語

⌨️ () Introduction

⌨️ () Syllabus & resources

⌨️ () Meet SQL!

⌨️ () Types of SQL statements

⌨️ () Why BigQuery

⌨️ () How to setup Google Cloud

⌨️ () How to avoid Google Cloud charges

⌨️ () Introduction to our data

⌨️ () How data is organized in BigQuery

⌨️ () Loading our data in BigQuery

⌨️ () The BigQuery Interface

⌨️ () Running our first query

⌨️ () How SQL organizes data

⌨️ () The SQL statement

⌨️ () The three orders of SQL operations

⌨️ () The logical order of SQL operations

⌨️ () Introduction to basics

⌨️ () SELECT and FROM

⌨️ () Transform columns with SELECT

⌨️ () The order of arithmetic operations

⌨️ () The WHERE filter

⌨️ () Boolean algebra

⌨️ () DISTINCT

⌨️ () Create BigQuery tables from queries

⌨️ () UNION 1

⌨️ () UNION 2

⌨️ () UNION 3

⌨️ () UNION 4

⌨️ () ORDER BY

⌨️ () LIMIT

⌨️ () CASE

⌨️ () Simple aggregations

⌨️ () Subqueries 1

⌨️ () Subqueries 2

⌨️ () Subqueries 3

⌨️ () Nested queries

⌨️ () Common table expressions 1

⌨️ () Common table expressions 2

⌨️ () Common table expressions 3

⌨️ () Joins

⌨️ () GROUP BY And Aggregations

⌨️ () Window Functions

⌨️ () Putting It All Together

⌨️ () Let's Solve A Hard SQL Challenge!

⌨️ () PostgreSQL Exercises - Introduction

⌨️ () PostgreSQL Exercises - Basic

⌨️ () PostgreSQL Exercises - Joins and Subqueries

⌨️ () PostgreSQL Exercises - Aggregations Pt. 1

⌨️ () PostgreSQL Exercises - Aggregations Pt. 2

⌨️ () PostgreSQL Exercises - Conclusion

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⌨️ () Overview

⌨️ () Indexing

Love the teaching style! at you mention that you've walked through the code previously. Is there another video to go with this one or did I miss something?

⌨️ () Retrieval

⌨️ () 4. EDA Football（00:50:39 - 01:00:48）
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