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- Notes - Practical - Question Papers - DISCLAIMER and motto files Lastly, updated README.
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+# DISCLAIMER
+
+Disclaimer for [DataScienceAndBigDataAnalytics](https://git.kska.io/sppu-te-comp-content/DataScienceAndBigDataAnalytics) repository under [sppu-te-comp-content](https://git.kska.io/sppu-te-comp-content) organization.
+
+---
+
+- Please be advised that this repository ([DataScienceAndBigDataAnalytics](https://git.kska.io/sppu-te-comp-content/DataScienceAndBigDataAnalytics)), its organization ([sppu-te-comp-content](https://git.kska.io/sppu-te-comp-content)), and all of its content are entirely independent and not associated to, and/or affiliated with SPPU (Savitrbai Phule Pune University, Pune) and/or any of its colleges, nor with [KSKA Git](https://git.kska.io). The materials provided within, including assignments from our contributors and notes from our professors, are solely for educational purposes and convenience.
+
+- KSKA Git serves merely as a platform for this content and does not imply any association and/or endorsement from SPPU or KSKA Git. It is important to recognize that the organization (sppu-te-comp-content) and all of its repositories in KSKA Git operates independently, and any references to educational institutions or platforms are purely for informational clarity.
+
+- Furthermore, it is emphasized that the content available within this repository remains meticulously curated to align with the latest 2019 SPPU syllabus for computer engineering. Our commitment to accuracy ensures that the materials provided reflect the current academic standards prescribed by SPPU, offering students a reliable resource to supplement their studies.
+
+---
+
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 # Data Science and Big Data Analytics (DSBDA)

+This repository serves as a comprehensive resource for the Data Science and Big Data Analytics course, featuring notes, code samples, handouts, and previous year question papers. It supports course outcomes such as analyzing challenges in data science, applying statistics, implementing big data analytics with Python, and utilizing visualization tools. Additionally, it covers the design of big databases using the Hadoop ecosystem, ensuring a thorough understanding of the technologies and strategies essential for effective data analytics.
+
+---
+
+> [!TIP]
+> Want to contribute? Start by [opening an issue](https://git.kska.io/sppu-te-comp-content/DataScienceAndBigDataAnalytics/issues) in this repository!
+
+## Index
+
+### Notes
+
+1. [Unit 1 - Introduction to Data Science and Big Data](Notes/Unit%201%20-%20Introduction%20to%20Data%20Science%20and%20Big%20Data)
+2. [Unit 2 - Statistical Inference](Notes/Unit%202%20-%20Statistical%20Inference)
+3. [Unit 3 - Big Data Analytics Life Cycle](Notes/Unit%203%20-%20Big%20Data%20Analytics%20Life%20Cycle)
+4. [Unit 4 - Predictive Big Data Analytics with Python](Notes/Unit%204%20-%20Predictive%20Big%20Data%20Analytics%20with%20Python)
+5. [Unit 5 - Big Data Analytics and Model Evaluation](Notes/Unit%205%20-%20Big%20Data%20Analytics%20and%20Model%20Evaluation)
+6. [Unit 6 - Data Visualization and Hadoop](Notes/Unit%206%20-%20Data%20Visualization%20and%20Hadoop)
+
+### Codes
+
+1. [Code-A1 (Data Wrangling-1)](Codes/Code-A1%20%28Data%20Wrangling-1%29.md)
+2. [Code-A2 (Data Wrangling-2)](Codes/Code-A2%20%28Data%20Wrangling-2%29.md)
+3. [Code-A3 (Descriptive Statistics)](Codes/Code-A3%20%28Descriptive%20Statistics%29.md)
+4. [Code-A4 (Data Analytics-1)](Codes/Code-A4%20%28Data%20Analytics-1%29.md)
+5. [Code-A5 (Data Analytics-2)](Codes/Code-A5%20%28Data%20Analytics-2%29.md)
+6. [Code-A6 (Data Analytics-3)](Codes/Code-A6%20%28Data%20Analytics-3%29.md)
+7. [Code-A7 (Text Analytics)](Codes/Code-A7%20%28Text%20Analytics%29.md)
+8. [Code-A8 (Data Visualization-1)](Codes/Code-A8%20%28Data%20Visualization-1%29.md)
+9. [Code-A9 (Data Visualisation-2)](Codes/Code-A9%20%28Data%20Visualization-2%29.md)
+10. [Code-A10 (Data Visualisation-3)](Codes/Code-A10%20%28Data%20Visualization-3%29.md)
+11. [Code-B1 (Hadoop Word Count)](Codes/Code-B1%20%28Hadoop%20Word%20Count%29)
+12. [Code-B4 (Apache Scala)](Codes/Code-B4%20%28Apache%20Scala%29.md)
+
+### Notebooks
+
+1. [Notebook-A1 (Data Wrangling-1)](Notebooks/Notebook-A1%20%28Data%20Wrangling-1%29.ipynb)
+2. [Notebook-A2 (Data Wrangling-2)](Notebooks/Notebook-A2%20%28Data%20Wrangling-2%29.ipynb)
+3. [Notebook-A3 (Descriptive Statistics)](Notebooks/Notebook-A3%20%28Descriptive%20Statistics%29.ipynb)
+4. [Notebook-A4 (Data Analytics-1)](Notebooks/Notebook-A4%20%28Data%20Analytics-1%29.ipynb)
+5. [Notebook-A5 (Data Analytics-2)](Notebooks/Notebook-A5%20%28Data%20Analytics-2%29.ipynb)
+6. [Notebook-A6 (Data Analytics-3)](Notebooks/Notebook-A6%20%28Data%20Analytics-3%29.ipynb)
+7. [Notebook-A7 (Text Analytics)](Notebooks/Notebook-A7%20%28Text%20Analytics%29.ipynb)
+8. [Notebook-A8 (Data Visualization-1)](Notebooks/Notebook-A8%20%28Data%20Visualization-1%29.ipynb)
+9. [Notebook-A9 (Data Visualization-2)](Notebooks/Notebook-A9%20%28Data%20Visualization-2%29.ipynb)
+10. [Notebook-A10 (Data Visualization-3)](Notebooks/Notebook-A10%20%28Data%20Visualization-3%29.ipynb)
+
+### Practical
+
+> Each folder contains **handout**, **write-up** and **softcopy** (i.e. code + output).
+
+1. [Assignment-A1](Practical/Assignment-A1)
+2. [Assignment-A2](Practical/Assignment-A2)
+3. [Assignment-A3](Practical/Assignment-A3)
+4. [Assignment-A4](Practical/Assignment-A4)
+5. [Assignment-A5](Practical/Assignment-A5)
+6. [Assignment-A6](Practical/Assignment-A6)
+7. [Assignment-A7](Practical/Assignment-A7)
+8. [Assignment-A8](Practical/Assignment-A8)
+9. [Assignment-A9](Practical/Assignment-A9)
+10. [Assignment-A10](Practical/Assignment-A10)
+11. [Assignment-B1](Practical/Assignment-B1)
+12. [Assignment-B2](Practical/Assignment-B2)
+13. [Assignment-B4](Practical/Assignment-B4)
+
+### Question Papers
+
+- [IN-SEM](Question%20Papers/IN-SEM)
+- [END-SEM](Question%20Papers/END-SEM)
+    - [Solved Numericals (from PYQs)](Question%20Papers/END-SEM/DSBDA%20-%20Solved%20Numericals%20%28from%20PYQs%29.pdf)
+
+### [END-SEM PYQ Answers](Notes/END-SEM%20PYQ%20Answers)
+
+---
+
+## Miscellaneous
+
+**-> Disclaimer:** Please read the [DISCLAIMER](DISCLAIMER.md) file for important information regarding the contents of this repository.
+
+**-> Note:** Content such as codes, softcopies, write-ups and question papers is provided by us, i.e. our contributors. You are free to use this content however you wish, without any restrictions. Some of the notes and handouts have been provided by our professors, thus to use them for anything other than educational purposes, please contact them.
+
+**-> Maintained by:**
+- [TanmaySpamzzz](https://git.kska.io/TanmaySpamzzz)
+- [notkshitij](https://git.kska.io/notkshitij)
+
+**-> Contributors:**
+- Afan Shaikh
+- Ayush Kalaskar
+- Himanshu Patil
+- Shriniwas G
+- Vedant Jamodkar
+
+**->** Repository icon from [Icons8](https://icons8.com).
+
+**-> Motto:**
+
+![Making information freely accessible to everyone.](motto.jpg)
+
+**-> Keywords:**
+
+SPPU, Savitribai Phule Pune University, Pune University, Computer Engineering, COMP, Third Year, TE, Semester 6, SEM-6, Data Science and Big Data Analytics, DSBDA, DSBDA codes, DSBDA notes, SPPU DSBDA notes, DSBDA handouts, DSBDA softopy, SPPU DSBDA code and output, DSBDA question papers, DSBDA PYQs
+
 ---