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6 | 6 |  INSTRUCTORS
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7 | 7 | #### Instructors: Rav Ahuja, Alex Aklson, Aije Egwaikhide, Svetlana Levitan, Romeo Kienzler, Polong Lin, Joseph Santarcangelo, Azim Hirjani, Hima Vasudevan, Saishruthi Swaminathan, Saeed Aghabozorgi, Yan Luo
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8 | 8 |
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9 |
| -This repository contains Final Course "Applied_Data_Science_Capstone" resources and solution of the quizzes given and asked in IBM Data Science Professional Certification. |
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| -Currently I'm also working on this certification. I keep on updating the resources and solution as I proceed further in this certification. |
| 9 | +This repository contains resources and solution of the quizzes given and asked in IBM Data Science Professional Certification. |
12 | 10 |
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13 | 11 | Specialization Course Link: [https://www.coursera.org/professional-certificates/ibm-data-science]
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14 | 12 |
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15 | 13 | #### There are 10 Courses in this Professional Certificate
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16 | 14 |
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17 | 15 | The courses enlisted in this specialization are as follows:
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18 | 16 |
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19 |
| -- [x] __What is Data Science?__ |
| 17 | +- [x] __What is Data Science? [Go To Course](https://www.coursera.org/learn/what-is-datascience?specialization=ibm-data-science)__ |
| 18 | + |
| 19 | +- [x] __Tools for Data Science [Go To Course](https://www.coursera.org/learn/open-source-tools-for-data-science?specialization=ibm-data-science)__ |
20 | 20 |
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| -- [x] __Open Source tools for Data Science__ |
| 21 | +- [x] __Data Science Methodology [Go To Course](https://www.coursera.org/learn/data-science-methodology?specialization=ibm-data-science)__ |
22 | 22 |
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23 |
| -- [x] __Data Science Methodology__ |
| 23 | +- [x] __Python for Data Science, AI & Development [Go To Course](https://www.coursera.org/learn/python-for-applied-data-science-ai?specialization=ibm-data-science)__ |
24 | 24 |
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| -- [x] __Python for Data Science and AI__ |
| 25 | +- [x] __Python Project for Data Science [Go To Course](https://www.coursera.org/learn/python-project-for-data-science?specialization=ibm-data-science)__ |
26 | 26 |
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| -- [x] __Databases and SQL for Data Science__ |
| 27 | +- [x] __Databases and SQL for Data Science with Python [Go To Course](https://www.coursera.org/learn/sql-data-science?specialization=ibm-data-science)__ |
28 | 28 |
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| -- [x] __Data Analysis with Python__ |
| 29 | +- [x] __Data Analysis with Python [Go To Course](https://www.coursera.org/learn/data-analysis-with-python?specialization=ibm-data-science)__ |
30 | 30 |
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| -- [x] __Data Visualization with Python__ |
| 31 | +- [x] __Data Visualization with Python [Go To Course](https://www.coursera.org/learn/python-for-data-visualization?specialization=ibm-data-science)__ |
32 | 32 |
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| -- [x] __Machine Learning with Python__ |
| 33 | +- [x] __Machine Learning with Python [Go To Course](https://www.coursera.org/learn/machine-learning-with-python?specialization=ibm-data-science)__ |
34 | 34 |
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35 |
| -- [x] __Applied Data Science Capstone__ |
| 35 | +- [x] __Applied Data Science Capstone [Go To Course](https://www.coursera.org/learn/applied-data-science-capstone?specialization=ibm-data-science)__ |
36 | 36 |
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| 37 | +<br> |
37 | 38 |
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38 | 39 | The course is a paid Course but if you can't afford that, then there is **Finacial Aid** option
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39 | 40 | You can apply for that by answering some questions
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