From 51dc1a58ace4110eb16b685a115efca03598db80 Mon Sep 17 00:00:00 2001 From: Anupam Mishra <66557767+anupamishra333@users.noreply.github.com> Date: Sat, 11 Sep 2021 23:21:20 +0530 Subject: [PATCH 1/4] Update README.md --- 1-Introduction/01-defining-data-science/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/1-Introduction/01-defining-data-science/README.md b/1-Introduction/01-defining-data-science/README.md index 625d6ba..cbce1f5 100644 --- a/1-Introduction/01-defining-data-science/README.md +++ b/1-Introduction/01-defining-data-science/README.md @@ -1,9 +1,9 @@ # Defining Data Science [![Defining Data Science Video](images/video-def-ds.png)](https://youtu.be/pqqsm5reGvs) -## Pre-Lecture Quiz -[Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/0) + +## [Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/0) ## What is Data? @@ -148,9 +148,9 @@ Visit [`notebook.ipynb`](notebook.ipynb) to read through the code. You can also > If you do not know how to run code in Jupyter Notebook, have a look at [this article](https://soshnikov.com/education/how-to-execute-notebooks-from-github/). -## Post-Lecture Quiz -[Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/1) + +## [Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/1) ## Assignments @@ -159,4 +159,4 @@ Visit [`notebook.ipynb`](notebook.ipynb) to read through the code. You can also ## Credits -This lesson has been authored with ♥️ by [Dmitry Soshnikov](http://soshnikov.com) \ No newline at end of file +This lesson has been authored with ♥️ by [Dmitry Soshnikov](http://soshnikov.com) From 2cfb688baf34101bf91a6ac805de07eada48b07a Mon Sep 17 00:00:00 2001 From: Anupam Mishra <66557767+anupamishra333@users.noreply.github.com> Date: Sat, 11 Sep 2021 23:23:07 +0530 Subject: [PATCH 2/4] Update README.md --- 1-Introduction/02-ethics/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/1-Introduction/02-ethics/README.md b/1-Introduction/02-ethics/README.md index d58bcf6..87ffb08 100644 --- a/1-Introduction/02-ethics/README.md +++ b/1-Introduction/02-ethics/README.md @@ -13,9 +13,9 @@ Data ethics are now _necessary guardrails_ for data science and engineering, hel In this lesson, we'll explore the fascinating area of data ethics - from core concepts and challenges, to case studies and applied AI concepts like governance - that help establish an ethics culture in teams and organizations that work with data and AI. -## Pre-Lecture Quiz 🎯 -[Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/2) + +## [Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/2) 🎯 ## Sketchnote 🖼 @@ -252,9 +252,9 @@ The latter requires [collaborative approaches to defining ethics cultures](https ## Challenge 🚀 -## Post-Lecture Quiz 🎯 -[Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/3) + +## [Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/3) 🎯 ## Review & Self Study From 8c6850d563fb0a02063156dbec4d723cab733efc Mon Sep 17 00:00:00 2001 From: Anupam Mishra <66557767+anupamishra333@users.noreply.github.com> Date: Sat, 11 Sep 2021 23:24:44 +0530 Subject: [PATCH 3/4] Update README.md --- 1-Introduction/04-stats-and-probability/README.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/1-Introduction/04-stats-and-probability/README.md b/1-Introduction/04-stats-and-probability/README.md index 45de5da..89de540 100644 --- a/1-Introduction/04-stats-and-probability/README.md +++ b/1-Introduction/04-stats-and-probability/README.md @@ -3,9 +3,9 @@ Statistics and Probability Theory are two highly related areas of Mathematics that are highly relevant to Data Science. It is possible to operate with data without deep knowledge of mathematics, but it is still better to know at least some basic concepts. Here we will present a short introduction that will help you get started. [![Intro Video](images/video-prob-and-stats.png)](https://youtu.be/Z5Zy85g4Yjw) -## Pre-Lecture Quiz -[Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/6) + +## [Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/6) ## Probability and Random Variables @@ -235,9 +235,8 @@ In this section, we have learnt: While this is definitely not exhaustive list of topics that exist within probability and statistics, it should be enough to give you a good start into this course. -## Post-Lecture Quiz -[Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/7) +## [Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/7) ## Review & Self Study From 4484f0dc396abc943a5f7146ed72721f82fae439 Mon Sep 17 00:00:00 2001 From: Anupam Mishra <66557767+anupamishra333@users.noreply.github.com> Date: Sat, 11 Sep 2021 23:26:29 +0530 Subject: [PATCH 4/4] Update README.md --- 2-Working-With-Data/07-python/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/2-Working-With-Data/07-python/README.md b/2-Working-With-Data/07-python/README.md index d412af0..a9a2f9f 100644 --- a/2-Working-With-Data/07-python/README.md +++ b/2-Working-With-Data/07-python/README.md @@ -21,9 +21,9 @@ We will focus on a few examples of data processing, instead of giving you full o > **Most useful advice**. When you need to perform certain operation on data that you do not know how to do, try searching for it in the internet. [Stackoverflow](https://stackoverflow.com/) usually contains a lot of useful code sample in Python for many typical tasks. -## Pre-Lecture Quiz -[Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/12) + +## [Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/12) ## Tabular Data and Dataframes @@ -253,9 +253,9 @@ Here are some examples of exploring data from Image data sources: Whether you already have structured or unstructured data, using Python you can perform all steps related to data processing and understanding. It is probably the most flexible way of data processing, and that is the reason the majority of data scientists use Python as their primary tool. Learning Python in depth is probably a good idea if you are serious about your data science journey! -## Post-Lecture Quiz -[Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/13) + +## [Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/13) ## Review & Self Study