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| Introduction to Data Science | https://patch-diff.githubusercontent.com/michee2/data-science#introduction-to-data-science |
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| https://patch-diff.githubusercontent.com/michee2/data-science#introduction-to-data-science |
| What is Data Science | https://www.coursera.org/learn/what-is-datascience |
| https://patch-diff.githubusercontent.com/michee2/data-science#introduction-to-computer-science |
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| Introduction to Computer Science and Programming Using Python | https://patch-diff.githubusercontent.com/michee2/data-science/blob/master/coursepages/intro-cs/README.md |
| Introduction to Computational Thinking and Data Science | https://ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/ |
| https://patch-diff.githubusercontent.com/michee2/data-science#data-structures-and-algorithms |
| Java Programming | https://java-programming.mooc.fi/ |
| Algorithms I: ArrayLists, LinkedLists, Stacks and Queues | https://www.edx.org/learn/data-structures/the-georgia-institute-of-technology-data-structures-algorithms-i-arraylists-linkedlists-stacks-and-queues |
| Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps | https://www.edx.org/learn/data-structures/the-georgia-institute-of-technology-data-structures-algorithms-ii-binary-trees-heaps-skiplists-and-hashmaps |
| Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms | https://www.edx.org/learn/data-structures/the-georgia-institute-of-technology-data-structures-algorithms-iii-avl-and-2-4-trees-divide-and-conquer-algorithms |
| Algorithms IV: Pattern Matching, Dijkstraโs, MST, and Dynamic Programming Algorithms | https://www.edx.org/learn/data-structures/the-georgia-institute-of-technology-data-structures-algorithms-iv-pattern-matching-dijkstras-mst-and-dynamic-programming-algorithms |
| https://patch-diff.githubusercontent.com/michee2/data-science#databases |
| Database Management Essentials | https://www.coursera.org/learn/database-management |
| Data Warehouse Concepts, Design, and Data Integration | https://www.coursera.org/learn/dwdesign |
| Relational Database Support for Data Warehouses | https://www.coursera.org/learn/dwrelational |
| Business Intelligence Concepts, Tools, and Applications | https://www.coursera.org/learn/business-intelligence-tools |
| Design and Build a Data Warehouse for Business Intelligence Implementation | https://www.coursera.org/learn/data-warehouse-bi-building |
| MongoDB for Developers Learning Path | https://learn.mongodb.com/pages/mongodb-developer-learning-paths |
| https://patch-diff.githubusercontent.com/michee2/data-science#single-variable-calculus |
| Calculus 1A: Differentiation | https://mitxonline.mit.edu/courses/course-v1:MITxT+18.01.1x/ |
| Calculus 1B: Integration | https://mitxonline.mit.edu/courses/course-v1:MITxT+18.01.2x/ |
| Calculus 1C: Coordinate Systems & Infinite Series | https://mitxonline.mit.edu/courses/course-v1:MITxT+18.01.3x/ |
| https://patch-diff.githubusercontent.com/michee2/data-science#linear-algebra |
| Essence of Linear Algebra | https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab |
| Linear Algebra | https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ |
| https://patch-diff.githubusercontent.com/michee2/data-science#multivariable-calculus |
| Multivariable Calculus | http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/index.htm |
| https://patch-diff.githubusercontent.com/michee2/data-science#statistics--probability |
| Introduction to Probability | https://projects.iq.harvard.edu/stat110/home |
| Intro to Descriptive Statistics | https://www.udacity.com/course/intro-to-descriptive-statistics--ud827 |
| Intro to Inferential Statistics | https://www.udacity.com/course/intro-to-inferential-statistics--ud201 |
| Statistical Learning with Python by Stanford University on EdX | https://www.edx.org/learn/python/stanford-university-statistical-learning-with-python |
| Textbook | https://hastie.su.domains/ISLP/ISLP_website.pdf.download.html |
| Textbook resources | https://www.statlearning.com/resources-python |
| Statistical Learning With R by Stanford University on EdX | https://www.edx.org/learn/statistics/stanford-university-statistical-learning |
| Textbook | https://hastie.su.domains/ISLR2/ISLRv2_corrected_June_2023.pdf.download.html |
| Textbook resources | https://www.statlearning.com/resources-second-edition |
| https://patch-diff.githubusercontent.com/michee2/data-science#data-science-tools--methods |
| Tools for Data Science | https://www.coursera.org/learn/open-source-tools-for-data-science |
| Data Science Methodology | https://www.coursera.org/learn/data-science-methodology |
| Data Science: Wrangling | https://www.edx.org/course/data-science-wrangling |
| https://patch-diff.githubusercontent.com/michee2/data-science#machine-learningdata-mining |
| Supervised Machine Learning: Regression and Classification | https://www.coursera.org/learn/machine-learning |
| Advanced Learning Algorithms | https://www.coursera.org/learn/advanced-learning-algorithms |
| Unsupervised Learning, Recommenders, Reinforcement Learning | https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning |
| Intro to Machine Learning | https://www.udacity.com/course/intro-to-machine-learning--ud120 |
| Mining Massive Datasets | https://www.edx.org/course/mining-massive-datasets |
| Process Mining | https://www.coursera.org/learn/process-mining |
| https://patch-diff.githubusercontent.com/michee2/data-science#final-project |
| this page | https://patch-diff.githubusercontent.com/michee2/data-science/blob/master/extras/specializations.md |
| https://patch-diff.githubusercontent.com/michee2/data-science#congratulations |
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| meetup.com | https://www.meetup.com/ |
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| https://patch-diff.githubusercontent.com/michee2/data-science#how-to-contribute |
| open an issue | https://help.github.com/articles/creating-an-issue/ |
| fork this project | https://help.github.com/articles/fork-a-repo/ |
| pull request | https://help.github.com/articles/using-pull-requests/ |
| extras | https://github.com/open-source-society/data-science/tree/master/extras |
| https://patch-diff.githubusercontent.com/michee2/data-science#code-of-conduct |
| OSSU's code of conduct | https://github.com/ossu/code-of-conduct |
| https://patch-diff.githubusercontent.com/michee2/data-science#team |
| Waciuma Wanjohi | https://github.com/waciumawanjohi |
| contributors | https://github.com/open-source-society/data-science/graphs/contributors |
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