diff --git a/_modules/week-02.md b/_modules/week-02.md index 155b18e..f41f364 100644 --- a/_modules/week-02.md +++ b/_modules/week-02.md @@ -2,12 +2,11 @@ title: Week 2 --- -Jan 22 -: **Discussion 1**{: .label .label-disc } Prerequisites Jan 23 : **Lecture 3**{: .label .label-lecture} Pandas II : **Lecture Participation 3**{: .label .label-survey } Lecture Participation 3 +: **Discussion 1**{: .label .label-disc } Prerequisites Jan 25 : **Lecture 4**{: .label .label-lecture } Pandas III diff --git a/_modules/week-03.md b/_modules/week-03.md index baf4022..2ee560a 100644 --- a/_modules/week-03.md +++ b/_modules/week-03.md @@ -2,12 +2,10 @@ title: Week 3 --- -Jan 29 -: **Discussion 2**{: .label .label-disc } Pandas I - Jan 30 : **Lecture 5**{: .label .label-lecture} Data Cleaning and EDA : **Lecture Participation 5**{: .label .label-survey } Lecture Participation 5 +: **Discussion 2**{: .label .label-disc } Pandas I Feb 1 : **Lecture 6**{: .label .label-lecture} Regex (and finish EDA) diff --git a/_modules/week-04.md b/_modules/week-04.md index 00ca11a..bdf2bea 100644 --- a/_modules/week-04.md +++ b/_modules/week-04.md @@ -2,12 +2,10 @@ title: Week 4 --- -Feb 5 -: **Discussion 3**{: .label .label-disc } Pandas II, EDA - Feb 6 : **Lecture 7**{: .label .label-lecture} Visualization I : **Lecture Participation 7**{: .label .label-survey } Lecture Participation 7 +: **Discussion 3**{: .label .label-disc } Pandas II, EDA Feb 8 : **Lecture 8**{: .label .label-lecture} Visualization I diff --git a/_modules/week-05.md b/_modules/week-05.md index f516837..becf539 100644 --- a/_modules/week-05.md +++ b/_modules/week-05.md @@ -2,12 +2,10 @@ title: Week 5 --- -Feb 12 -: **Discussion 4**{: .label .label-disc } Regex, Visualization, and Transformation - Feb 13 : **Lecture 9**{: .label .label-lecture} Sampling : **Lecture Participation 9**{: .label .label-survey } Lecture Participation 9 +: **Discussion 4**{: .label .label-disc } Regex, Visualization, and Transformation Feb 15 : **Lecture 10**{: .label .label-lecture} Modeling, SLR diff --git a/_modules/week-06.md b/_modules/week-06.md index 4484dee..7c8afc1 100644 --- a/_modules/week-06.md +++ b/_modules/week-06.md @@ -1,12 +1,11 @@ --- title: Week 6 --- -Feb 19 -: **Discussion 5**{: .label .label-disc } Probability, Sampling, and Visualization Feb 20 : **Lecture 11**{: .label .label-lecture} Constant model, Loss, and Transformations : **Lecture Participation 11**{: .label .label-survey } Lecture Participation 11 +: **Discussion 5**{: .label .label-disc } Probability, Sampling, and Visualization Feb 22 : **Lecture 12**{: .label .label-lecture} OLS (Multiple Regression) diff --git a/_modules/week-07.md b/_modules/week-07.md index ae95199..139647e 100644 --- a/_modules/week-07.md +++ b/_modules/week-07.md @@ -2,12 +2,10 @@ title: Week 7 --- -Feb 26 -: **Discussion 6**{: .label .label-disc } Probability, Sampling, and Visualization - Feb 27 : **Lecture 13**{: .label .label-lecture} Gradient descent / sklearn : **Lecture Participation 13**{: .label .label-survey } Lecture Participation 13 +: **Discussion 6**{: .label .label-disc } Probability, Sampling, and Visualization Feb 29 : **Lecture 14**{: .label .label-lecture} Feature Engineering diff --git a/_modules/week-08.md b/_modules/week-08.md index eae7d2c..3e22d6b 100644 --- a/_modules/week-08.md +++ b/_modules/week-08.md @@ -2,12 +2,10 @@ title: Week 8 --- -Mar 4 -: **Discussion 7**{: .label .label-disc } Probability, Sampling, and Visualization - Mar 5 : **Lecture 15**{: .label .label-lecture} Guest Lecture - TBD : **Lecture Participation 15**{: .label .label-survey } Lecture Participation 15 +: **Discussion 7**{: .label .label-disc } Probability, Sampling, and Visualization Mar 7 : **Lecture 16**{: .label .label-lecture} Case Study (HCE): CCAO diff --git a/_modules/week-09.md b/_modules/week-09.md index b636454..5f371fb 100644 --- a/_modules/week-09.md +++ b/_modules/week-09.md @@ -2,12 +2,11 @@ title: Week 9 --- -Mar 11 -: **Discussion 8**{: .label .label-disc } Feature Engineering, Housing Mar 12 : **Lecture 17**{: .label .label-lecture} Cross-Validation and Regularization : **Lecture Participation 17**{: .label .label-survey } Lecture Participation 17 +: **Discussion 8**{: .label .label-disc } Feature Engineering, Housing Mar 14 : **Lecture 18**{: .label .label-lecture} Random Variables diff --git a/_modules/week-10.md b/_modules/week-10.md index 34143c0..54b12aa 100644 --- a/_modules/week-10.md +++ b/_modules/week-10.md @@ -2,12 +2,11 @@ title: Week 10 --- -Mar 18 -: **Discussion 9**{: .label .label-disc } Cross-Validation and Regularization Mar 19 : **Lecture 19**{: .label .label-lecture} Estimators, Bias, and Variance : **Lecture Participation 19**{: .label .label-survey } Lecture Participation 19 +: **Discussion 9**{: .label .label-disc } Cross-Validation and Regularization Mar 21 : **Lecture 20**{: .label .label-lecture} Causal Inference and Confounding diff --git a/_modules/week-12.md b/_modules/week-12.md index 475bf53..7a51397 100644 --- a/_modules/week-12.md +++ b/_modules/week-12.md @@ -2,12 +2,11 @@ title: Week 12 --- -Apr 1 -: **Discussion 10**{: .label .label-disc } RVs, Bias, and Variance Apr 2 : **Lecture 21**{: .label .label-lecture} SQL I : **Lecture Participation 21**{: .label .label-survey } Lecture Participation 21 +: **Discussion 10**{: .label .label-disc } RVs, Bias, and Variance Apr 4 : **Lecture 22**{: .label .label-lecture} SQL II and Cloud Data diff --git a/_modules/week-13.md b/_modules/week-13.md index 0e8ffdf..ec026e3 100644 --- a/_modules/week-13.md +++ b/_modules/week-13.md @@ -2,12 +2,11 @@ title: Week 13 --- -Apr 8 -: **Discussion 11**{: .label .label-disc } SQL Apr 9 : **Lecture 23**{: .label .label-lecture} Logistic Regression I : **Lecture Participation 23**{: .label .label-survey } Lecture Participation 23 +: **Discussion 11**{: .label .label-disc } SQL Apr 11 : **Lecture 24**{: .label .label-lecture} Logistic Regression II diff --git a/_modules/week-14.md b/_modules/week-14.md index 3c455ce..eb112fe 100644 --- a/_modules/week-14.md +++ b/_modules/week-14.md @@ -2,12 +2,11 @@ title: Week 14 --- -Apr 15 -: **Discussion 12**{: .label .label-disc } Logistic Regression Apr 16 : **Lecture 25**{: .label .label-lecture} PCA I : **Lecture Participation 25**{: .label .label-survey } Lecture Participation 25 +: **Discussion 12**{: .label .label-disc } Logistic Regression Apr 18 : **Lecture 26**{: .label .label-lecture} PCA II diff --git a/_modules/week-15.md b/_modules/week-15.md index fcf2b04..d1b4b98 100644 --- a/_modules/week-15.md +++ b/_modules/week-15.md @@ -2,12 +2,11 @@ title: Week 15 --- -Apr 22 -: **Discussion 13**{: .label .label-disc } PCA Apr 23 : **Lecture 27**{: .label .label-lecture} KMeans Clustering : **Lecture Participation 27**{: .label .label-survey } Lecture Participation 27 +: **Discussion 13**{: .label .label-disc } PCA Apr 25 : **Lecture 28**{: .label .label-lecture} Guest + closing diff --git a/_site/assets/js/search-data.json b/_site/assets/js/search-data.json index f19efd4..115f137 100644 --- a/_site/assets/js/search-data.json +++ b/_site/assets/js/search-data.json @@ -211,63 +211,63 @@ },"30": { "doc": "Home / Schedule", "title": "Week 2", - "content": "Jan 22 Discussion 1 Prerequisites Jan 23 Lecture 3 Pandas II Lecture Participation 3 Lecture Participation 3 Jan 25 Lecture 4 Pandas III Lecture Participation 4 Lecture Participation 4 Jan 26 Lab 2A Pandas (due Jan 30) Homework 2A Food Safety (due Feb 1) ", + "content": "Jan 23 Lecture 3 Pandas II Lecture Participation 3 Lecture Participation 3 Discussion 1 Prerequisites Jan 25 Lecture 4 Pandas III Lecture Participation 4 Lecture Participation 4 Jan 26 Lab 2A Pandas (due Jan 30) Homework 2A Food Safety (due Feb 1) ", "url": "/sp24-testing/#week-2", "relUrl": "/#week-2" },"31": { "doc": "Home / Schedule", "title": "Week 3", - "content": "Jan 29 Discussion 2 Pandas I Jan 30 Lecture 5 Data Cleaning and EDA Lecture Participation 5 Lecture Participation 5 Feb 1 Lecture 6 Regex (and finish EDA) Lecture Participation 6 Lecture Participation 6 Feb 2 Lab 2B Data Cleaning and EDA (due Feb 6) Homework 2B Food Safety II (due Feb 8) ", + "content": "Jan 30 Lecture 5 Data Cleaning and EDA Lecture Participation 5 Lecture Participation 5 Discussion 2 Pandas I Feb 1 Lecture 6 Regex (and finish EDA) Lecture Participation 6 Lecture Participation 6 Feb 2 Lab 2B Data Cleaning and EDA (due Feb 6) Homework 2B Food Safety II (due Feb 8) ", "url": "/sp24-testing/#week-3", "relUrl": "/#week-3" },"32": { "doc": "Home / Schedule", "title": "Week 4", - "content": "Feb 5 Discussion 3 Pandas II, EDA Feb 6 Lecture 7 Visualization I Lecture Participation 7 Lecture Participation 7 Feb 8 Lecture 8 Visualization I Lecture Participation 8 Lecture Participation 8 Feb 9 Lab 3 Regex, EDA (due Feb 13) Homework 3 Tweets (due Feb 15) ", + "content": "Feb 6 Lecture 7 Visualization I Lecture Participation 7 Lecture Participation 7 Discussion 3 Pandas II, EDA Feb 8 Lecture 8 Visualization I Lecture Participation 8 Lecture Participation 8 Feb 9 Lab 3 Regex, EDA (due Feb 13) Homework 3 Tweets (due Feb 15) ", "url": "/sp24-testing/#week-4", "relUrl": "/#week-4" },"33": { "doc": "Home / Schedule", "title": "Week 5", - "content": "Feb 12 Discussion 4 Regex, Visualization, and Transformation Feb 13 Lecture 9 Sampling Lecture Participation 9 Lecture Participation 9 Feb 15 Lecture 10 Modeling, SLR Lecture Participation 10 Lecture Participation 10 Feb 16 Lab 4 Transformations (due Feb 20) Homework 3 Bike Sharing (due Feb 22) ", + "content": "Feb 13 Lecture 9 Sampling Lecture Participation 9 Lecture Participation 9 Discussion 4 Regex, Visualization, and Transformation Feb 15 Lecture 10 Modeling, SLR Lecture Participation 10 Lecture Participation 10 Feb 16 Lab 4 Transformations (due Feb 20) Homework 3 Bike Sharing (due Feb 22) ", "url": "/sp24-testing/#week-5", "relUrl": "/#week-5" },"34": { "doc": "Home / Schedule", "title": "Week 6", - "content": "Feb 19 Discussion 5 Probability, Sampling, and Visualization Feb 20 Lecture 11 Constant model, Loss, and Transformations Lecture Participation 11 Lecture Participation 11 Feb 22 Lecture 12 OLS (Multiple Regression) Lecture Participation 12 Lecture Participation 12 Feb 23 Lab 5 Modeling, Summary Statistics, and Loss Functions (due Feb 27) Homework 5 Modeling (due Feb 29) ", + "content": "Feb 20 Lecture 11 Constant model, Loss, and Transformations Lecture Participation 11 Lecture Participation 11 Discussion 5 Probability, Sampling, and Visualization Feb 22 Lecture 12 OLS (Multiple Regression) Lecture Participation 12 Lecture Participation 12 Feb 23 Lab 5 Modeling, Summary Statistics, and Loss Functions (due Feb 27) Homework 5 Modeling (due Feb 29) ", "url": "/sp24-testing/#week-6", "relUrl": "/#week-6" },"35": { "doc": "Home / Schedule", "title": "Week 7", - "content": "Feb 26 Discussion 6 Probability, Sampling, and Visualization Feb 27 Lecture 13 Gradient descent / sklearn Lecture Participation 13 Lecture Participation 13 Feb 29 Lecture 14 Feature Engineering Lecture Participation 14 Lecture Participation 14 Mar 1 Lab 6 OLS (due Mar 5) Homework 6 Regression (due Mar 7) ", + "content": "Feb 27 Lecture 13 Gradient descent / sklearn Lecture Participation 13 Lecture Participation 13 Discussion 6 Probability, Sampling, and Visualization Feb 29 Lecture 14 Feature Engineering Lecture Participation 14 Lecture Participation 14 Mar 1 Lab 6 OLS (due Mar 5) Homework 6 Regression (due Mar 7) ", "url": "/sp24-testing/#week-7", "relUrl": "/#week-7" },"36": { "doc": "Home / Schedule", "title": "Week 8", - "content": "Mar 4 Discussion 7 Probability, Sampling, and Visualization Mar 5 Lecture 15 Guest Lecture - TBD Lecture Participation 15 Lecture Participation 15 Mar 7 Lecture 16 Case Study (HCE): CCAO Lecture Participation 16 Lecture Participation 16 Mar 8 Lab 7 Gradient descent and Sklearn (due Mar 12) Project A1 Housing I (due Mar 14) ", + "content": "Mar 5 Lecture 15 Guest Lecture - TBD Lecture Participation 15 Lecture Participation 15 Discussion 7 Probability, Sampling, and Visualization Mar 7 Lecture 16 Case Study (HCE): CCAO Lecture Participation 16 Lecture Participation 16 Mar 8 Lab 7 Gradient descent and Sklearn (due Mar 12) Project A1 Housing I (due Mar 14) ", "url": "/sp24-testing/#week-8", "relUrl": "/#week-8" },"37": { "doc": "Home / Schedule", "title": "Week 9", - "content": "Mar 11 Discussion 8 Feature Engineering, Housing Mar 12 Lecture 17 Cross-Validation and Regularization Lecture Participation 17 Lecture Participation 17 Mar 14 Lecture 18 Random Variables Lecture Participation 18 Lecture Participation 18 Mar 15 Lab 8 Model Selection (due Mar 19) Project A2 Housing II (due Mar 21) ", + "content": "Mar 12 Lecture 17 Cross-Validation and Regularization Lecture Participation 17 Lecture Participation 17 Discussion 8 Feature Engineering, Housing Mar 14 Lecture 18 Random Variables Lecture Participation 18 Lecture Participation 18 Mar 15 Lab 8 Model Selection (due Mar 19) Project A2 Housing II (due Mar 21) ", "url": "/sp24-testing/#week-9", "relUrl": "/#week-9" },"38": { "doc": "Home / Schedule", "title": "Week 10", - "content": "Mar 18 Discussion 9 Cross-Validation and Regularization Mar 19 Lecture 19 Estimators, Bias, and Variance Lecture Participation 19 Lecture Participation 19 Mar 21 Lecture 20 Causal Inference and Confounding Lecture Participation 20 Lecture Participation 20 Mar 22 Lab 9 Probability (due Apr 2) Homework 7 Probability (due Apr 4) ", + "content": "Mar 19 Lecture 19 Estimators, Bias, and Variance Lecture Participation 19 Lecture Participation 19 Discussion 9 Cross-Validation and Regularization Mar 21 Lecture 20 Causal Inference and Confounding Lecture Participation 20 Lecture Participation 20 Mar 22 Lab 9 Probability (due Apr 2) Homework 7 Probability (due Apr 4) ", "url": "/sp24-testing/#week-10", "relUrl": "/#week-10" @@ -281,28 +281,28 @@ },"40": { "doc": "Home / Schedule", "title": "Week 12", - "content": "Apr 1 Discussion 10 RVs, Bias, and Variance Apr 2 Lecture 21 SQL I Lecture Participation 21 Lecture Participation 21 Apr 4 Lecture 22 SQL II and Cloud Data Lecture Participation 22 Lecture Participation 22 Apr 5 Lab 10 SQL (due Apr 9) Homework 8 SQL (due Apr 11) ", + "content": "Apr 2 Lecture 21 SQL I Lecture Participation 21 Lecture Participation 21 Discussion 10 RVs, Bias, and Variance Apr 4 Lecture 22 SQL II and Cloud Data Lecture Participation 22 Lecture Participation 22 Apr 5 Lab 10 SQL (due Apr 9) Homework 8 SQL (due Apr 11) ", "url": "/sp24-testing/#week-12", "relUrl": "/#week-12" },"41": { "doc": "Home / Schedule", "title": "Week 13", - "content": "Apr 8 Discussion 11 SQL Apr 9 Lecture 23 Logistic Regression I Lecture Participation 23 Lecture Participation 23 Apr 11 Lecture 24 Logistic Regression II Lecture Participation 24 Lecture Participation 24 Apr 12 Lab 11 Logistic Regression (due Apr 16) Project B1 Spam & Ham I (due Apr 18) ", + "content": "Apr 9 Lecture 23 Logistic Regression I Lecture Participation 23 Lecture Participation 23 Discussion 11 SQL Apr 11 Lecture 24 Logistic Regression II Lecture Participation 24 Lecture Participation 24 Apr 12 Lab 11 Logistic Regression (due Apr 16) Project B1 Spam & Ham I (due Apr 18) ", "url": "/sp24-testing/#week-13", "relUrl": "/#week-13" },"42": { "doc": "Home / Schedule", "title": "Week 14", - "content": "Apr 15 Discussion 12 Logistic Regression Apr 16 Lecture 25 PCA I Lecture Participation 25 Lecture Participation 25 Apr 18 Lecture 26 PCA II Lecture Participation 26 Lecture Participation 26 Apr 19 Lab 12 PCA (due Apr 23) Project B2 Spam & Ham II (due Apr 25) ", + "content": "Apr 16 Lecture 25 PCA I Lecture Participation 25 Lecture Participation 25 Discussion 12 Logistic Regression Apr 18 Lecture 26 PCA II Lecture Participation 26 Lecture Participation 26 Apr 19 Lab 12 PCA (due Apr 23) Project B2 Spam & Ham II (due Apr 25) ", "url": "/sp24-testing/#week-14", "relUrl": "/#week-14" },"43": { "doc": "Home / Schedule", "title": "Week 15", - "content": "Apr 22 Discussion 13 PCA Apr 23 Lecture 27 KMeans Clustering Lecture Participation 27 Lecture Participation 27 Apr 25 Lecture 28 Guest + closing Lecture Participation 28 Lecture Participation 28 Apr 26 Lab 13 Clustering (due Apr 30) ", + "content": "Apr 23 Lecture 27 KMeans Clustering Lecture Participation 27 Lecture Participation 27 Discussion 13 PCA Apr 25 Lecture 28 Guest + closing Lecture Participation 28 Lecture Participation 28 Apr 26 Lab 13 Clustering (due Apr 30) ", "url": "/sp24-testing/#week-15", "relUrl": "/#week-15" diff --git a/_site/index.html b/_site/index.html index 5f30743..88b4378 100644 --- a/_site/index.html +++ b/_site/index.html @@ -1 +1 @@ - Home / Schedule | Data 100 Skip to main content Link Menu Expand (external link) Document Search Copy Copied

Data 100: Principles and Techniques of Data Science

UC Berkeley, Spring 2024

Ed Datahub

Joseph E. Gonzalez

Joseph E. Gonzalez

He/Him/His

jegonzal@cs.berkeley.edu

Office Hours: TBD

Narges Norouzi

Narges Norouzi

She/Her/Hers

norouzi@berkeley.edu

Office Hours: TBD

Course website is currently under construction.

Gradescope, YouTube playlist, and extrenuating circumstances form will be added soon on main page.

Schedule

Week 1

Jan 16
Lecture 1 Introduction
Lecture Participation 1 Lecture Participation 1
Jan 18
Lecture 2 Pandas I
Lecture Participation 2 Lecture Participation 2
Jan 19
Lab 1 Prerequisite Coding (due Jan 23)
Homework 1 Prerequisite Math (due Jan 25)

Week 2

Jan 22
Discussion 1 Prerequisites
Jan 23
Lecture 3 Pandas II
Lecture Participation 3 Lecture Participation 3
Jan 25
Lecture 4 Pandas III
Lecture Participation 4 Lecture Participation 4
Jan 26
Lab 2A Pandas (due Jan 30)
Homework 2A Food Safety (due Feb 1)

Week 3

Jan 29
Discussion 2 Pandas I
Jan 30
Lecture 5 Data Cleaning and EDA
Lecture Participation 5 Lecture Participation 5
Feb 1
Lecture 6 Regex (and finish EDA)
Lecture Participation 6 Lecture Participation 6
Feb 2
Lab 2B Data Cleaning and EDA (due Feb 6)
Homework 2B Food Safety II (due Feb 8)

Week 4

Feb 5
Discussion 3 Pandas II, EDA
Feb 6
Lecture 7 Visualization I
Lecture Participation 7 Lecture Participation 7
Feb 8
Lecture 8 Visualization I
Lecture Participation 8 Lecture Participation 8
Feb 9
Lab 3 Regex, EDA (due Feb 13)
Homework 3 Tweets (due Feb 15)

Week 5

Feb 12
Discussion 4 Regex, Visualization, and Transformation
Feb 13
Lecture 9 Sampling
Lecture Participation 9 Lecture Participation 9
Feb 15
Lecture 10 Modeling, SLR
Lecture Participation 10 Lecture Participation 10
Feb 16
Lab 4 Transformations (due Feb 20)
Homework 3 Bike Sharing (due Feb 22)

Week 6

Feb 19
Discussion 5 Probability, Sampling, and Visualization
Feb 20
Lecture 11 Constant model, Loss, and Transformations
Lecture Participation 11 Lecture Participation 11
Feb 22
Lecture 12 OLS (Multiple Regression)
Lecture Participation 12 Lecture Participation 12
Feb 23
Lab 5 Modeling, Summary Statistics, and Loss Functions (due Feb 27)
Homework 5 Modeling (due Feb 29)

Week 7

Feb 26
Discussion 6 Probability, Sampling, and Visualization
Feb 27
Lecture 13 Gradient descent / sklearn
Lecture Participation 13 Lecture Participation 13
Feb 29
Lecture 14 Feature Engineering
Lecture Participation 14 Lecture Participation 14
Mar 1
Lab 6 OLS (due Mar 5)
Homework 6 Regression (due Mar 7)

Week 8

Mar 4
Discussion 7 Probability, Sampling, and Visualization
Mar 5
Lecture 15 Guest Lecture - TBD
Lecture Participation 15 Lecture Participation 15
Mar 7
Lecture 16 Case Study (HCE): CCAO
Lecture Participation 16 Lecture Participation 16
Mar 8
Lab 7 Gradient descent and Sklearn (due Mar 12)
Project A1 Housing I (due Mar 14)

Week 9

Mar 11
Discussion 8 Feature Engineering, Housing
Mar 12
Lecture 17 Cross-Validation and Regularization
Lecture Participation 17 Lecture Participation 17
Mar 14
Lecture 18 Random Variables
Lecture Participation 18 Lecture Participation 18
Mar 15
Lab 8 Model Selection (due Mar 19)
Project A2 Housing II (due Mar 21)

Week 10

Mar 18
Discussion 9 Cross-Validation and Regularization
Mar 19
Lecture 19 Estimators, Bias, and Variance
Lecture Participation 19 Lecture Participation 19
Mar 21
Lecture 20 Causal Inference and Confounding
Lecture Participation 20 Lecture Participation 20
Mar 22
Lab 9 Probability (due Apr 2)
Homework 7 Probability (due Apr 4)

Week 11

Mar 25
Spring Break
Mar 26
Spring Break
Mar 27
Spring Break
Mar 28
Spring Break
Mar 29
Spring Break

Week 12

Apr 1
Discussion 10 RVs, Bias, and Variance
Apr 2
Lecture 21 SQL I
Lecture Participation 21 Lecture Participation 21
Apr 4
Lecture 22 SQL II and Cloud Data
Lecture Participation 22 Lecture Participation 22
Apr 5
Lab 10 SQL (due Apr 9)
Homework 8 SQL (due Apr 11)

Week 13

Apr 8
Discussion 11 SQL
Apr 9
Lecture 23 Logistic Regression I
Lecture Participation 23 Lecture Participation 23
Apr 11
Lecture 24 Logistic Regression II
Lecture Participation 24 Lecture Participation 24
Apr 12
Lab 11 Logistic Regression (due Apr 16)
Project B1 Spam & Ham I (due Apr 18)

Week 14

Apr 15
Discussion 12 Logistic Regression
Apr 16
Lecture 25 PCA I
Lecture Participation 25 Lecture Participation 25
Apr 18
Lecture 26 PCA II
Lecture Participation 26 Lecture Participation 26
Apr 19
Lab 12 PCA (due Apr 23)
Project B2 Spam & Ham II (due Apr 25)

Week 15

Apr 22
Discussion 13 PCA
Apr 23
Lecture 27 KMeans Clustering
Lecture Participation 27 Lecture Participation 27
Apr 25
Lecture 28 Guest + closing
Lecture Participation 28 Lecture Participation 28
Apr 26
Lab 13 Clustering (due Apr 30)

Week 16

Apr 29
RRR
Apr 30
RRR
May 1
RRR
May 2
RRR
May 3
RRR

Week 17

May 9
Final Exam Final (8:00am - 11:00am)
+ Home / Schedule | Data 100 Skip to main content Link Menu Expand (external link) Document Search Copy Copied

Data 100: Principles and Techniques of Data Science

UC Berkeley, Spring 2024

Ed Datahub

Joseph E. Gonzalez

Joseph E. Gonzalez

He/Him/His

jegonzal@cs.berkeley.edu

Office Hours: TBD

Narges Norouzi

Narges Norouzi

She/Her/Hers

norouzi@berkeley.edu

Office Hours: TBD

Course website is currently under construction.

Gradescope, YouTube playlist, and extrenuating circumstances form will be added soon on main page.

Schedule

Week 1

Jan 16
Lecture 1 Introduction
Lecture Participation 1 Lecture Participation 1
Jan 18
Lecture 2 Pandas I
Lecture Participation 2 Lecture Participation 2
Jan 19
Lab 1 Prerequisite Coding (due Jan 23)
Homework 1 Prerequisite Math (due Jan 25)

Week 2

Jan 23
Lecture 3 Pandas II
Lecture Participation 3 Lecture Participation 3
Discussion 1 Prerequisites
Jan 25
Lecture 4 Pandas III
Lecture Participation 4 Lecture Participation 4
Jan 26
Lab 2A Pandas (due Jan 30)
Homework 2A Food Safety (due Feb 1)

Week 3

Jan 30
Lecture 5 Data Cleaning and EDA
Lecture Participation 5 Lecture Participation 5
Discussion 2 Pandas I
Feb 1
Lecture 6 Regex (and finish EDA)
Lecture Participation 6 Lecture Participation 6
Feb 2
Lab 2B Data Cleaning and EDA (due Feb 6)
Homework 2B Food Safety II (due Feb 8)

Week 4

Feb 6
Lecture 7 Visualization I
Lecture Participation 7 Lecture Participation 7
Discussion 3 Pandas II, EDA
Feb 8
Lecture 8 Visualization I
Lecture Participation 8 Lecture Participation 8
Feb 9
Lab 3 Regex, EDA (due Feb 13)
Homework 3 Tweets (due Feb 15)

Week 5

Feb 13
Lecture 9 Sampling
Lecture Participation 9 Lecture Participation 9
Discussion 4 Regex, Visualization, and Transformation
Feb 15
Lecture 10 Modeling, SLR
Lecture Participation 10 Lecture Participation 10
Feb 16
Lab 4 Transformations (due Feb 20)
Homework 3 Bike Sharing (due Feb 22)

Week 6

Feb 20
Lecture 11 Constant model, Loss, and Transformations
Lecture Participation 11 Lecture Participation 11
Discussion 5 Probability, Sampling, and Visualization
Feb 22
Lecture 12 OLS (Multiple Regression)
Lecture Participation 12 Lecture Participation 12
Feb 23
Lab 5 Modeling, Summary Statistics, and Loss Functions (due Feb 27)
Homework 5 Modeling (due Feb 29)

Week 7

Feb 27
Lecture 13 Gradient descent / sklearn
Lecture Participation 13 Lecture Participation 13
Discussion 6 Probability, Sampling, and Visualization
Feb 29
Lecture 14 Feature Engineering
Lecture Participation 14 Lecture Participation 14
Mar 1
Lab 6 OLS (due Mar 5)
Homework 6 Regression (due Mar 7)

Week 8

Mar 5
Lecture 15 Guest Lecture - TBD
Lecture Participation 15 Lecture Participation 15
Discussion 7 Probability, Sampling, and Visualization
Mar 7
Lecture 16 Case Study (HCE): CCAO
Lecture Participation 16 Lecture Participation 16
Mar 8
Lab 7 Gradient descent and Sklearn (due Mar 12)
Project A1 Housing I (due Mar 14)

Week 9

Mar 12
Lecture 17 Cross-Validation and Regularization
Lecture Participation 17 Lecture Participation 17
Discussion 8 Feature Engineering, Housing
Mar 14
Lecture 18 Random Variables
Lecture Participation 18 Lecture Participation 18
Mar 15
Lab 8 Model Selection (due Mar 19)
Project A2 Housing II (due Mar 21)

Week 10

Mar 19
Lecture 19 Estimators, Bias, and Variance
Lecture Participation 19 Lecture Participation 19
Discussion 9 Cross-Validation and Regularization
Mar 21
Lecture 20 Causal Inference and Confounding
Lecture Participation 20 Lecture Participation 20
Mar 22
Lab 9 Probability (due Apr 2)
Homework 7 Probability (due Apr 4)

Week 11

Mar 25
Spring Break
Mar 26
Spring Break
Mar 27
Spring Break
Mar 28
Spring Break
Mar 29
Spring Break

Week 12

Apr 2
Lecture 21 SQL I
Lecture Participation 21 Lecture Participation 21
Discussion 10 RVs, Bias, and Variance
Apr 4
Lecture 22 SQL II and Cloud Data
Lecture Participation 22 Lecture Participation 22
Apr 5
Lab 10 SQL (due Apr 9)
Homework 8 SQL (due Apr 11)

Week 13

Apr 9
Lecture 23 Logistic Regression I
Lecture Participation 23 Lecture Participation 23
Discussion 11 SQL
Apr 11
Lecture 24 Logistic Regression II
Lecture Participation 24 Lecture Participation 24
Apr 12
Lab 11 Logistic Regression (due Apr 16)
Project B1 Spam & Ham I (due Apr 18)

Week 14

Apr 16
Lecture 25 PCA I
Lecture Participation 25 Lecture Participation 25
Discussion 12 Logistic Regression
Apr 18
Lecture 26 PCA II
Lecture Participation 26 Lecture Participation 26
Apr 19
Lab 12 PCA (due Apr 23)
Project B2 Spam & Ham II (due Apr 25)

Week 15

Apr 23
Lecture 27 KMeans Clustering
Lecture Participation 27 Lecture Participation 27
Discussion 13 PCA
Apr 25
Lecture 28 Guest + closing
Lecture Participation 28 Lecture Participation 28
Apr 26
Lab 13 Clustering (due Apr 30)

Week 16

Apr 29
RRR
Apr 30
RRR
May 1
RRR
May 2
RRR
May 3
RRR

Week 17

May 9
Final Exam Final (8:00am - 11:00am)
diff --git a/resources/assets/staff_pics/.DS_Store b/resources/assets/staff_pics/.DS_Store index 8b11b07..4c2d9c2 100644 Binary files a/resources/assets/staff_pics/.DS_Store and b/resources/assets/staff_pics/.DS_Store differ