From fa3a950ba7c42cef4e12ddc346927c0a2a5db928 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?M=C3=A1ria=20Hanulov=C3=A1?= <93197308+majkah0@users.noreply.github.com> Date: Mon, 2 Oct 2023 19:10:19 +0200 Subject: [PATCH] Update 04-Bootcamp-Structure.md (#401) * Update 04-Bootcamp-Structure.md * Update docs/_docs/Starters Academy (LDSSA)/04-Bootcamp-Structure.md Co-authored-by: Gustavo Fonseca <55834874+Gustavo-SF@users.noreply.github.com> * Update 04-Bootcamp-Structure.md --------- Co-authored-by: Gustavo Fonseca <55834874+Gustavo-SF@users.noreply.github.com> --- .../04-Bootcamp-Structure.md | 84 +++++++++++-------- 1 file changed, 47 insertions(+), 37 deletions(-) diff --git a/docs/_docs/Starters Academy (LDSSA)/04-Bootcamp-Structure.md b/docs/_docs/Starters Academy (LDSSA)/04-Bootcamp-Structure.md index 464cc94..b175e81 100644 --- a/docs/_docs/Starters Academy (LDSSA)/04-Bootcamp-Structure.md +++ b/docs/_docs/Starters Academy (LDSSA)/04-Bootcamp-Structure.md @@ -1,5 +1,5 @@ --- -title: Bootcamp Structure and Rules +title: Specialization 1 Structure and Rules category: Starters Academy (LDSSA) order: 4 --- @@ -7,12 +7,13 @@ order: 4 ## Structure -The bootcamp is an intensive set of days where you will learn the basics of data -science, ranging from useful pandas functions to some common problems like -regression and classification, and models used to tackle them. It is composed -by 16 units, 14 mandatory, presented in the 2 days that compose the bootcamp, and 2 -optional. Together with the first 3 units you should have completed in the admission -process, they compose the set of units of specialization #1. +In **Specialization 1 - Bootcamp and Binary Classification** you learn the basics of data science, +ranging from useful pandas functions to procedures like data cleaning and common problems +like regression and classification and the models used to tackle them. +This first Specialization has a different structure than other Specializations. +It is composed of 3 learning units completed during the admissions and additional 14 mandatory +and 2 optional learning units which you have to complete in the first three weeks of the Academy`. +The learning units are accompanied by virtual classes presented during 2 days. Participation in the virtual classes is mandatory. | SLU | Name | Presented at | Mandatory | |-------|------------------------------------------|-----------------|-----------| @@ -36,48 +37,57 @@ process, they compose the set of units of specialization #1. | SLU18 | Support Vector Machines (SVM) | Not presented | No | | SLU19 | k-Nearest Neighbors (kNN) | Not presented | No | -During the days of the bootcamp, each presented unit will follow the following schedule: - -- 15 min presentation -- 5 min questions -- 40 min of working time on the unit - -However, it is not expected that in the 40 min of working time you complete all of the content, -it is just a first contact with the content. The bootcamp days are followed by 3 weeks where -you are expected to review the materials and complete all units by yourself. - - +The virtual classes will be presented on Sundays 26 Nov 2023 and 3 Dec 2023. Each class lasts about 60 min. The topics presented during each class are the following: + +Bootcamp part 1, Sunday morning 26 Nov 2023 +- Class 1: + - Introduction to data science + - SLU04 - Basic Stats with Pandas + - SLU05 - Covariance and Correlation + - SLU06 - Dealing with Data Problems +- Class 2: + - SLU07 - Regression with Linear Regression + - SLU08 - Metrics for Regression +- Class 3: + - SLU09 - Classification with Logistic Regression + - SLU10 - Metrics for Classification + +Bootcamp part 2, Sunday morning 3 Dec 2023 +- Class 4: + - SLU11 - Tree-Based Models + - SLU12 - Feature Engineering +Class 5: + - SLU13 - Bias-Variance tradeoff & Model Selection + - SLU14 - Model complexity and Overfitting + - SLU15 - Hyperparameter Tuning +Class 6: + - SLU16 - Workflow + - SLU17 - Ethics and Fairness ### Time commitment -Aside from the bootcamp weekend, you should be prepared to spend a recommended *10 hours per week* +Aside from the virtual classes, you should be prepared to spend a recommended *10 hours per week* on the bootcamp units throughout the course of the 3 weeks given to complete them. +### Specialization 1 Evaluation Rules -### Bootcamp Evaluation Rules - -In order to pass the bootcamp: - -* The student must have been present in the bootcamp days -* All mandatory units should have been submitted and score at least 16/20 until the deadline (see the calendar section below) +In order to pass Specialization 1 +* The student must take part in the virtual classes +* The student must score at least 16/20 on the mandatory learning units until the deadline (see the calendar section below) ### Optional units -There are a few optional units that we recommend the students look at, but that are not mandatory to -pass the bootcamp. However, they will show up on the final curriculum as either passed/failed. As other -units a passing grade is considered for submissions that score at least 16/20 until the deadlines -(see the calendar section below). - -We advise you to only tackle these after you have completed all mandatory content, since the bootcamp -is essential to proceed with the academy. - +There are a two optional units teaching additional classification models that we recommend the students look at, +but that are not mandatory to pass the bootcamp. However, they will show up on the final curriculum as either passed/failed. +As in other learning units, a passing grade is a score of at least 16/20 submitted until the deadline. +(see the calendar section below). We advise you to only tackle these two units after you have completed all mandatory content, +since completing Specialization 1 is essential to proceed with the academy. ### Calendar | Description | Date | |-------------|-------------| -| Bootcamp day 1 | 1st October 2022, from 8h30 AM to 7h00 PM UTC | -| Bootcamp day 2 | 2nd October 2022, from 8h30 AM to 7h00 PM UTC | -| Deadline for bootcamp units | 22nd October 2022, 23h59 UTC | -| Deadline for optional units (for curriculum consideration) | 22nd October 2022, 23h59 UTC | +| Bootcamp day 1 | 26 Nov 2023 in the morning | +| Bootcamp day 2 | 3 Dec 2023 in the morning | +| Deadline for Specialization 1 | 16 Dec 2023, 8pm UTC |