From d45c8f9cb26f66fc82829a5055df2dec4f2645d5 Mon Sep 17 00:00:00 2001 From: Kamran Ahmed Date: Fri, 29 Sep 2023 17:26:54 +0100 Subject: [PATCH] Update coursera links --- .../ai-data-scientist/ai-data-scientist.json | 28 +++++++++---------- .../content/classic-advanced-ml.md | 2 +- .../content/data-understanding.md | 6 ++-- .../content/deployment-models.md | 2 +- .../content/diff-calculus.md | 2 +- .../content/fully-connected-nn.md | 2 +- .../content/hypothesis-testing.md | 2 +- .../ai-data-scientist/content/learn-dsa.md | 2 +- .../content/linear-algebra-calc-mathana.md | 2 +- .../content/probability-sampling.md | 2 +- .../regression-time-series-fitting-distr.md | 4 +-- .../ai-data-scientist/content/stats-clt.md | 2 +- 12 files changed, 28 insertions(+), 28 deletions(-) diff --git a/src/data/roadmaps/ai-data-scientist/ai-data-scientist.json b/src/data/roadmaps/ai-data-scientist/ai-data-scientist.json index e03d81832..0a19371f8 100644 --- a/src/data/roadmaps/ai-data-scientist/ai-data-scientist.json +++ b/src/data/roadmaps/ai-data-scientist/ai-data-scientist.json @@ -316,7 +316,7 @@ "x": "279", "y": "583", "properties": { - "controlName": "ext_link:coursera.org/specializations/mathematics-machine-learning#courses" + "controlName": "ext_link:imp.i384100.net/baqMYv" }, "children": { "controls": { @@ -443,7 +443,7 @@ "x": "278", "y": "688", "properties": { - "controlName": "ext_link:coursera.org/learn/algebra-and-differential-calculus-for-data-science#syllabus" + "controlName": "ext_link:imp.i384100.net/LX5M7M" }, "children": { "controls": { @@ -596,7 +596,7 @@ "x": "903", "y": "582", "properties": { - "controlName": "ext_link:coursera.org/learn/stanford-statistics#syllabus" + "controlName": "ext_link:imp.i384100.net/3eRv4v" }, "children": { "controls": { @@ -736,7 +736,7 @@ "x": "904", "y": "686", "properties": { - "controlName": "ext_link:coursera.org/learn/statistical-analysis-hypothesis-testing-sas#syllabus" + "controlName": "ext_link:imp.i384100.net/vN0JAA" }, "children": { "controls": { @@ -862,7 +862,7 @@ "x": "904", "y": "792", "properties": { - "controlName": "ext_link:coursera.org/learn/probability-statistics#syllabus" + "controlName": "ext_link:imp.i384100.net/daDM6Q" }, "children": { "controls": { @@ -2157,7 +2157,7 @@ "x": "269", "y": "1102", "properties": { - "controlName": "ext_link:coursera.org/learn/erasmus-econometrics#syllabus" + "controlName": "ext_link:imp.i384100.net/k0krYL" }, "children": { "controls": { @@ -2529,7 +2529,7 @@ "x": "269", "y": "1464", "properties": { - "controlName": "ext_link:coursera.org/learn/linear-regression-business-statistics#about" + "controlName": "ext_link:imp.i384100.net/9g97Ke" }, "children": { "controls": { @@ -3018,7 +3018,7 @@ "x": "255", "y": "2037", "properties": { - "controlName": "ext_link:coursera.org/specializations/algorithms#courses" + "controlName": "ext_link:imp.i384100.net/5gqv4n" }, "children": { "controls": { @@ -3375,7 +3375,7 @@ "x": "810", "y": "1749", "properties": { - "controlName": "ext_link:coursera.org/projects/exploratory-data-analysis-python-pandas" + "controlName": "ext_link:imp.i384100.net/AWAv4R" }, "children": { "controls": { @@ -3437,7 +3437,7 @@ "x": "811", "y": "1804", "properties": { - "controlName": "ext_link:coursera.org/learn/ibm-exploratory-data-analysis-for-machine-learning#syllabus" + "controlName": "ext_link:imp.i384100.net/GmQMLE" }, "children": { "controls": { @@ -3499,7 +3499,7 @@ "x": "811", "y": "1860", "properties": { - "controlName": "ext_link:coursera.org/projects/exploratory-data-analysis-seaborn" + "controlName": "ext_link:imp.i384100.net/ZQmMgR" }, "children": { "controls": { @@ -3786,7 +3786,7 @@ "x": "834", "y": "2185", "properties": { - "controlName": "ext_link:coursera.org/specializations/machine-learning-introduction#courses" + "controlName": "ext_link:imp.i384100.net/oqGkrg" }, "children": { "controls": { @@ -4045,7 +4045,7 @@ "x": "268", "y": "2445", "properties": { - "controlName": "ext_link:coursera.org/specializations/deep-learning#courses" + "controlName": "ext_link:imp.i384100.net/Wq9MV3" }, "children": { "controls": { @@ -4560,7 +4560,7 @@ "x": "938", "y": "2606", "properties": { - "controlName": "ext_link:coursera.org/specializations/machine-learning-engineering-for-production-mlops#courses" + "controlName": "ext_link:imp.i384100.net/nLA5mx" }, "children": { "controls": { diff --git a/src/data/roadmaps/ai-data-scientist/content/classic-advanced-ml.md b/src/data/roadmaps/ai-data-scientist/content/classic-advanced-ml.md index c349719fe..ca5e2f413 100644 --- a/src/data/roadmaps/ai-data-scientist/content/classic-advanced-ml.md +++ b/src/data/roadmaps/ai-data-scientist/content/classic-advanced-ml.md @@ -1,7 +1,7 @@ # Classic/Advanced ML - [Open Machine Learning Course](https://mlcourse.ai/book/topic01/topic01_intro.html) -- [Coursera: Machine Learning Spcialization](https://www.coursera.org/specializations/machine-learning-introduction#courses) +- [Coursera: Machine Learning Specialization](https://imp.i384100.net/oqGkrg) - [Pattern Recognition and Machine Learning by Christopher Bishop](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) - [Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop](https://github.com/gerdm/prml) diff --git a/src/data/roadmaps/ai-data-scientist/content/data-understanding.md b/src/data/roadmaps/ai-data-scientist/content/data-understanding.md index d41d24d2a..26bc9dc42 100644 --- a/src/data/roadmaps/ai-data-scientist/content/data-understanding.md +++ b/src/data/roadmaps/ai-data-scientist/content/data-understanding.md @@ -1,6 +1,6 @@ # Data Understanding, Analysis and Visualization -- [Exploratory Data Analysis With Python and Pandas](https://www.coursera.org/projects/exploratory-data-analysis-python-pandas) -- [Exploratory Data Analysis for Machine Learning](https://www.coursera.org/learn/ibm-exploratory-data-analysis-for-machine-learning#syllabus) -- [Exploratory Data Analysis with Seaborn](https://www.coursera.org/projects/exploratory-data-analysis-seaborn) +- [Exploratory Data Analysis With Python and Pandas](https://imp.i384100.net/AWAv4R) +- [Exploratory Data Analysis for Machine Learning](https://imp.i384100.net/GmQMLE) +- [Exploratory Data Analysis with Seaborn](https://imp.i384100.net/ZQmMgR) diff --git a/src/data/roadmaps/ai-data-scientist/content/deployment-models.md b/src/data/roadmaps/ai-data-scientist/content/deployment-models.md index f20664b77..5b2dbb6c3 100644 --- a/src/data/roadmaps/ai-data-scientist/content/deployment-models.md +++ b/src/data/roadmaps/ai-data-scientist/content/deployment-models.md @@ -1,4 +1,4 @@ # MLOps -- [Machine Learning Engineering for Production (MLOps) Specialization](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops#courses) +- [Machine Learning Engineering for Production (MLOps) Specialization](https://imp.i384100.net/nLA5mx) diff --git a/src/data/roadmaps/ai-data-scientist/content/diff-calculus.md b/src/data/roadmaps/ai-data-scientist/content/diff-calculus.md index d2b002318..f86c164fd 100644 --- a/src/data/roadmaps/ai-data-scientist/content/diff-calculus.md +++ b/src/data/roadmaps/ai-data-scientist/content/diff-calculus.md @@ -1,4 +1,4 @@ # Differential Calculus -- [Algebra and Differential Calculus for Data Science](https://coursera.org/learn/algebra-and-differential-calculus-for-data-science#syllabus) +- [Algebra and Differential Calculus for Data Science](https://imp.i384100.net/LX5M7M) diff --git a/src/data/roadmaps/ai-data-scientist/content/fully-connected-nn.md b/src/data/roadmaps/ai-data-scientist/content/fully-connected-nn.md index 010d017bf..986fb5be3 100644 --- a/src/data/roadmaps/ai-data-scientist/content/fully-connected-nn.md +++ b/src/data/roadmaps/ai-data-scientist/content/fully-connected-nn.md @@ -3,5 +3,5 @@ - [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/) - [Attention is All you Need](https://arxiv.org/pdf/1706.03762.pdf) - [Deep Learning Book](https://www.deeplearningbook.org/) -- [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning#courses) +- [Deep Learning Specialization](https://imp.i384100.net/Wq9MV3) diff --git a/src/data/roadmaps/ai-data-scientist/content/hypothesis-testing.md b/src/data/roadmaps/ai-data-scientist/content/hypothesis-testing.md index c2ed1764a..0118278f9 100644 --- a/src/data/roadmaps/ai-data-scientist/content/hypothesis-testing.md +++ b/src/data/roadmaps/ai-data-scientist/content/hypothesis-testing.md @@ -1,4 +1,4 @@ # Hypothesis Testing -- [Introduction to Statistical Analysis: Hypothesis Testing](https://www.coursera.org/learn/statistical-analysis-hypothesis-testing-sas#syllabus) +- [Introduction to Statistical Analysis: Hypothesis Testing](https://imp.i384100.net/vN0JAA) diff --git a/src/data/roadmaps/ai-data-scientist/content/learn-dsa.md b/src/data/roadmaps/ai-data-scientist/content/learn-dsa.md index d33003308..faffa8305 100644 --- a/src/data/roadmaps/ai-data-scientist/content/learn-dsa.md +++ b/src/data/roadmaps/ai-data-scientist/content/learn-dsa.md @@ -2,4 +2,4 @@ - [Learn Algorithms](https://leetcode.com/explore/learn/) - [Leetcode - Study Plans](https://leetcode.com/studyplan/) -- [Algorithms Specialization](https://coursera.org/specializations/algorithms#courses) \ No newline at end of file +- [Algorithms Specialization](https://imp.i384100.net/5gqv4n) \ No newline at end of file diff --git a/src/data/roadmaps/ai-data-scientist/content/linear-algebra-calc-mathana.md b/src/data/roadmaps/ai-data-scientist/content/linear-algebra-calc-mathana.md index 288695e56..dfc9f6a9a 100644 --- a/src/data/roadmaps/ai-data-scientist/content/linear-algebra-calc-mathana.md +++ b/src/data/roadmaps/ai-data-scientist/content/linear-algebra-calc-mathana.md @@ -1,4 +1,4 @@ # Learn Algebra, Calculus, Mathematical Analysis -- [Mathematics for Machine Learning Specialization](https://www.coursera.org/specializations/mathematics-machine-learning#courses) +- [Mathematics for Machine Learning Specialization](https://imp.i384100.net/baqMYv) diff --git a/src/data/roadmaps/ai-data-scientist/content/probability-sampling.md b/src/data/roadmaps/ai-data-scientist/content/probability-sampling.md index c216f3900..48305e7d6 100644 --- a/src/data/roadmaps/ai-data-scientist/content/probability-sampling.md +++ b/src/data/roadmaps/ai-data-scientist/content/probability-sampling.md @@ -1,4 +1,4 @@ # Probability and Sampling -- [Probability and Statistics: To p or not to p?](https://www.coursera.org/learn/probability-statistics#syllabus) +- [Probability and Statistics: To p or not to p?](https://imp.i384100.net/daDM6Q) diff --git a/src/data/roadmaps/ai-data-scientist/content/regression-time-series-fitting-distr.md b/src/data/roadmaps/ai-data-scientist/content/regression-time-series-fitting-distr.md index 89060f023..34b4f1ddf 100644 --- a/src/data/roadmaps/ai-data-scientist/content/regression-time-series-fitting-distr.md +++ b/src/data/roadmaps/ai-data-scientist/content/regression-time-series-fitting-distr.md @@ -2,11 +2,11 @@ - [10 Fundamental Theorems for Econometrics](https://bookdown.org/ts_robinson1994/10EconometricTheorems/) - [Dougherty Intro to Econometrics 4th edition](https://www.academia.edu/33062577/Dougherty_Intro_to_Econometrics_4th_ed_small) -- [Econometrics: Methods and Applications](https://www.coursera.org/learn/erasmus-econometrics#syllabus) +- [Econometrics: Methods and Applications](https://imp.i384100.net/k0krYL) - [Kaggle - Learn Time Series](https://www.kaggle.com/learn/time-series) - [Time series Basics : Exploring traditional TS](https://www.kaggle.com/code/jagangupta/time-series-basics-exploring-traditional-ts#Hierarchical-time-series) - [How to Create an ARIMA Model for Time Series Forecasting in Python](https://machinelearningmastery.com/arima-for-time-series-forecasting-with-python) - [11 Classical Time Series Forecasting Methods in Python](https://machinelearningmastery.com/time-series-forecasting-methods-in-python-cheat-sheet/) - [Blockchain.com Data Scientist TakeHome Test](https://github.com/stalkermustang/bcdc_ds_takehome) -- [Linear Regression for Business Statistics](https://www.coursera.org/learn/linear-regression-business-statistics#about) +- [Linear Regression for Business Statistics](https://imp.i384100.net/9g97Ke) diff --git a/src/data/roadmaps/ai-data-scientist/content/stats-clt.md b/src/data/roadmaps/ai-data-scientist/content/stats-clt.md index 280d0a00b..73c961059 100644 --- a/src/data/roadmaps/ai-data-scientist/content/stats-clt.md +++ b/src/data/roadmaps/ai-data-scientist/content/stats-clt.md @@ -1,4 +1,4 @@ # Statistics, CLT -- [Introduction to Statistics](https://coursera.org/learn/stanford-statistics#syllabus) +- [Introduction to Statistics](https://imp.i384100.net/3eRv4v)