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https://github.com/sondosaabed/sp.top-data-science-and-analytics

This repository is created as part of the Data Science Coursework Birzeit university by Dr. Hussein Soboh
https://github.com/sondosaabed/sp.top-data-science-and-analytics

assignment birzeit-university course coursework data-analytics data-cleaning data-processing data-science data-visualization data-wrangling datasets eda exploratory-data-analysis linear-regression machine-learning numpy pandas python statistics storytelling

Last synced: about 4 hours ago
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This repository is created as part of the Data Science Coursework Birzeit university by Dr. Hussein Soboh

Host: GitHub
URL: https://github.com/sondosaabed/sp.top-data-science-and-analytics
Owner: sondosaabed
License: mit
Created: 2024-03-07T20:12:53.000Z (8 months ago)
Default Branch: main
Last Pushed: 2024-07-08T00:03:00.000Z (4 months ago)
Last Synced: 2024-07-09T01:23:29.560Z (4 months ago)
Topics: assignment, birzeit-university, course, coursework, data-analytics, data-cleaning, data-processing, data-science, data-visualization, data-wrangling, datasets, eda, exploratory-data-analysis, linear-regression, machine-learning, numpy, pandas, python, statistics, storytelling
Language: HTML
Homepage: https://www.kaggle.com/sondosaabed
Size: 47.4 MB
Stars: 3
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

# Special Topic: Data Science and Analytics

This course provides a comprehensive introduction to the principles, techniques, and applications of data science. Where we explore the entire data science workflow, from data collection, cleaning, analysis, visualization, and modeling. The course emphasizes hands-on experience using and “Python” programming language with “Notebook” tools, enables developing practical skills in data manipulation, statistical analysis, and machine learning.

## Course Outline
1. Statistics for data science [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/1-Statistics-for-data-science/Statistics%20for%20Data%20Science.html)
2. Python [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/2-Python/Python%20crash%20course.html)
3. Numpy [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/3-Numpy/Numpy.html)
4. Pandas [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/4-Pandas/Pandas.html)
5. Data wrangling and aggregation [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/5-Data-wrangling-and-aggregation/Data%20Wrangling%20and%20aggregation.html)
6. Data cleaning [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/6-Data-cleaning/Data%20Cleaning.html)
7. Data Visualization [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/7-Data-Visualization/Data%20visualization.html) [Part two hands on](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/7-Data-Visualization/Data%20Visualization%20-%20hands-on.html)
8. Machine Learning Intro [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/8-ML-Intro/Intro.html)
9. Machine Learning Preprocessing [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/9-ML-Preprocessing/Preprocessing.html)
10. Regressionmodeling [Veiw Chapter](https://rawcdn.githack.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/4a9cf4f81af54afbdf6bf80eb302d5a9bd62a5bc/Materials/10-Regression-modeling/ML_1.html)

## Course Assignments
1. Intro to ipynb: ![intro notebook](https://github.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/blob/main/Assignments/A1-Intro-to-ipynb/1190652_A1.ipynb)
2. Minimum price groceries Numpy ![Numpy Notebook](https://github.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/blob/main/Assignments/A2-Minimum-price-groceries-Numpy/1190652_A2.ipynb)
3. Normal Distribution Sampling np ![Normal distributon notebook](https://github.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/blob/main/Assignments/A3-Normal-Distribution-Sampling-np/1190652_A3.ipynb)
4. Coffee reviews analysis pandas ![Coffee reviews analysis Notebook](https://github.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/blob/main/Assignments/A4-Coffee-reviews-analysis-pandas/1190652_A4.ipynb)
5. Retail queries groupby pd ![UK Retail queries Notebook](https://github.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/blob/main/Assignments/A5-Retail-queries-groupby-pd/1190652_A5.ipynb)
6. Happiness score Visualization ![Happiness score Visualization Notebook](https://github.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/blob/main/Assignments/A6-Happiness-score/1190652_A6.ipynb)
7. 3D prints Roughness Prefiction Linear Regression ![3D-prints-Roughness Notebook](https://github.com/sondosaabed/SP.TOP-Data-Science-and-Analytics/blob/main/Assignments/A7-3D-prints-Roughness/1190652_A7.ipynb)