├── .gitattributes ├── 1.What_is_Data_Science ├── Readme.md ├── Week 1 - Defining Data Science and What Data Scientists Do │ ├── Quiz 1 - Data Science The Sexiest Job in the 21st Century │ │ ├── Q1.jpg │ │ ├── Q2 & Q3.jpg │ │ └── Q4 & Q5.jpg │ ├── Quiz 2 - What Makes Someone a Data Scientist │ │ ├── Q1.jpg │ │ ├── Q2 & Q3.jpg │ │ └── Q4 & Q5.jpg │ └── Readme.md ├── Week 2 - Data Science Topics │ ├── Quiz - Data Mining │ │ ├── Q1.jpg │ │ ├── Q2 & Q3.jpg │ │ └── Q4 & Q5.jpg │ ├── Quiz - Regression │ │ ├── Q1.jpg │ │ ├── Q2 & Q3.jpg │ │ ├── Q4.jpg │ │ └── Q5.jpg │ └── Readme.md └── Week 3 - Data Science in Business │ ├── Quiz 1 - The Final Deliverable │ ├── Q1.jpg │ ├── Q2.jpg │ ├── Q3 & Q4.jpg │ └── Q5.jpg │ ├── Quiz 2 - The Report Structure │ ├── Q1.jpg │ ├── Q2.jpg │ ├── Q3.jpg │ └── Q4 & Q5.jpg │ ├── Quiz 3 - Final Assignment │ └── Readme.md │ └── Readme.md ├── 2.Tools_for_Data_Science ├── Readme.md ├── Week 1 - Data Scientist's Toolkit │ ├── 1. Languages of Data Science │ │ └── Practice Quiz - Languages │ │ │ ├── Q1.JPG │ │ │ ├── Q2.JPG │ │ │ ├── Q3.JPG │ │ │ ├── Q4.JPG │ │ │ ├── Q5.JPG │ │ │ └── Q6.JPG │ ├── 2. Data Science Tools │ │ └── Practice Quiz - Tools │ │ │ ├── Q1.JPG │ │ │ ├── Q2.JPG │ │ │ ├── Q3.JPG │ │ │ ├── Q4.JPG │ │ │ ├── Q5.JPG │ │ │ └── Q6.JPG │ ├── 3. Packages, APIs, Data Sets and Model │ │ └── Practice Quiz - Packages, APIs, Data Sets, Models │ │ │ ├── Q1.JPG │ │ │ ├── Q2.JPG │ │ │ ├── Q3.JPG │ │ │ ├── Q4.JPG │ │ │ ├── Q5.JPG │ │ │ └── Q6.JPG │ ├── 4. Module 1 Assessment - Graded Quiz │ │ ├── Q1.jpg │ │ ├── Q10.jpg │ │ ├── Q2.JPG │ │ ├── Q3.JPG │ │ ├── Q4.JPG │ │ ├── Q5.JPG │ │ ├── Q6.jpg │ │ ├── Q7.JPG │ │ ├── Q8.JPG │ │ └── Q9.JPG │ └── Readme.md ├── Week 2 - Open Source Tools │ ├── 1. GitHub │ │ └── Practice Quiz - GitHub │ │ │ ├── Q1.JPG │ │ │ ├── Q2.JPG │ │ │ └── Q3.JPG │ ├── 2. Jupter Notebook and JupyterLab │ │ └── Practice Quiz - Jupter Notebooks │ │ │ ├── Q1.JPG │ │ │ ├── Q2.JPG │ │ │ └── Q3.JPG │ ├── 3. RStudio IDE │ │ └── Practice Quiz - RStudio IDE │ │ │ ├── Q1.JPG │ │ │ ├── Q2.JPG │ │ │ └── Q3.JPG │ ├── 4. Module 2 Assessment │ │ ├── Q1.JPG │ │ ├── Q10.JPG │ │ ├── Q2.JPG │ │ ├── Q3.JPG │ │ ├── Q4.JPG │ │ ├── Q5.JPG │ │ ├── Q6.JPG │ │ ├── Q7.JPG │ │ ├── Q8.jpg │ │ └── Q9.JPG │ └── Readme.md ├── Week 3 - IBM Tools for Data Science │ ├── 1. Watson Studio │ │ └── Practice Quiz - Watson Studio │ │ │ ├── Q1.JPG │ │ │ ├── Q10.JPG │ │ │ ├── Q2.JPG │ │ │ ├── Q3.JPG │ │ │ ├── Q4.JPG │ │ │ ├── Q5.JPG │ │ │ ├── Q6.JPG │ │ │ ├── Q7.JPG │ │ │ ├── Q8.JPG │ │ │ └── Q9.JPG │ ├── 2. Other IBM Tools │ │ └── Practice Quiz - Other IBM Tools │ │ │ ├── Q1.JPG │ │ │ ├── Q10.JPG │ │ │ ├── Q11.JPG │ │ │ ├── Q12.JPG │ │ │ ├── Q2.JPG │ │ │ ├── Q3.JPG │ │ │ ├── Q4.JPG │ │ │ ├── Q5.JPG │ │ │ ├── Q6.JPG │ │ │ ├── Q7.JPG │ │ │ ├── Q8.JPG │ │ │ └── Q9.JPG │ ├── 3. Module 3 Assessment │ │ ├── Q1.JPG │ │ ├── Q10.JPG │ │ ├── Q2.JPG │ │ ├── Q3.JPG │ │ ├── Q4.JPG │ │ ├── Q5.JPG │ │ ├── Q6.jpg │ │ ├── Q7.JPG │ │ ├── Q8.JPG │ │ └── Q9.JPG │ └── Readme.md └── Week 4 - Final Assignment │ ├── Final_Assignment.ipynb │ └── Readme.md ├── 3.Data_Science_Methodology ├── Readme.md ├── Week 1 - From Problem to Approach and From Requirements to Collection │ ├── 1. From Problem to Approach │ │ ├── LAB-1-From-Problem-to-Approach-v2.0.ipynb │ │ └── Quiz - From Problem to Approach │ │ │ ├── Q1.jpg │ │ │ ├── Q2 & Q3.jpg │ │ │ ├── Q4.jpg │ │ │ └── Q5.jpg │ ├── 2. From Requirements to Collection │ │ ├── LAB-From-Requirements-to-Collection-py-v2.0.ipynb │ │ └── Quiz - From Requirements to Collection │ │ │ ├── Q1.jpg │ │ │ ├── Q2 & Q3.jpg │ │ │ └── Q4 & Q5.jpg │ └── Readme.md ├── Week 2 - From Understanding to Preparation and From Modeling to Evaluation │ ├── 1. From Understanding to Preparation │ │ ├── LAB-From-Understanding-to-Preparation-py-v2.0.ipynb │ │ └── Quiz - From Understanding to Preparation │ │ │ ├── Q1.jpg │ │ │ ├── Q2.jpg │ │ │ ├── Q3.jpg │ │ │ ├── Q4.jpg │ │ │ └── Q5.jpg │ ├── 2. From Modeling to Evaluation │ │ ├── LAB-From-Modeling-to-Evaluation-py-v2.0.ipynb │ │ └── Quiz - From Modeling to Evaluation │ │ │ ├── Q1.jpg │ │ │ ├── Q2 & Q3.jpg │ │ │ └── Q4 & Q5.jpg │ └── Readme.md └── Week 3 - From Understanding to Preparation and From Modeling to Evaluation │ ├── 1. From Deployment to Feedback │ └── Quiz - From Deployment to Feedback │ │ ├── Q1.jpg │ │ ├── Q10.jpg │ │ ├── Q2.jpg │ │ ├── Q3.jpg │ │ ├── Q4.jpg │ │ ├── Q5.jpg │ │ ├── Q6.jpg │ │ ├── Q7 & Q8.jpg │ │ └── Q9.jpg │ ├── 2. Final Assignment │ └── Readme.md │ └── Readme.md ├── 4.Python_for_Data_Science_and_AI ├── Readme.md ├── Week 1 - Python Basics │ ├── 1. Types │ │ └── Quiz - Types │ │ │ ├── Q1.jpg │ │ │ ├── Q2.jpg │ │ │ ├── Q3.jpg │ │ │ └── Q4.jpg │ ├── 2. Expressions and Variables │ │ └── Quiz - Expressions and Variables │ │ │ ├── Q1.jpg │ │ │ ├── Q2.jpg │ │ │ ├── Q3.jpg │ │ │ └── Q4.jpg │ ├── 3. Your First Program, Types, Expressions and Variables │ │ └── LAB -Types.ipynb │ ├── 4. String Operations │ │ ├── LAB - Strings.ipynb │ │ └── Quiz - String Operations │ │ │ ├── Q1.jpg │ │ │ ├── Q2.jpg │ │ │ ├── Q3.jpg │ │ │ ├── Q4.jpg │ │ │ ├── Q5.jpg │ │ │ ├── Q6.jpg │ │ │ └── Q7.jpg │ ├── Quiz - String Operations.docx │ └── Readme.md ├── Week 2 - Python Data Structures │ ├── 1. List and Tuples │ │ ├── LAB 1 - Tuples.ipynb │ │ ├── LAB 2 - Lists.ipynb │ │ └── Quiz - List and Tuples │ │ │ ├── Q1.jpg │ │ │ ├── Q2.jpg │ │ │ ├── Q3.jpg │ │ │ ├── Q4.jpg │ │ │ ├── Q5.jpg │ │ │ ├── Q6.jpg │ │ │ ├── Q7.jpg │ │ │ └── Q8 & Q9.jpg │ ├── 2. Dictionaries │ │ ├── LAB 1 -Dictionaries.ipynb │ │ └── Quiz - Dictionaries │ │ │ ├── Q1.jpg │ │ │ └── Q2 & Q3.jpg │ ├── 3. Sets │ │ ├── LAB 1 - Sets.ipynb │ │ └── Quiz - Sets │ │ │ ├── Q1 & Q2.jpg │ │ │ └── Q3.jpg │ └── Readme.md ├── Week 3 - Python Programming Fundamentals │ ├── 1. Conditions and Branching │ │ ├── LAB -Conditions and Branching.ipynb │ │ └── Quiz - Conditions and Branching.docx │ ├── 2. Loops │ │ ├── LAB - Loops.ipynb │ │ └── Quiz - Loops.docx │ ├── 3. Functions │ │ ├── LAB - Functions.ipynb │ │ └── Quiz - Functions.docx │ ├── 4. Classes │ │ ├── LAB - Classes.ipynb │ │ └── Quiz - Objects and Classes.docx │ └── Readme.md ├── Week 4 - Working with Data in Python │ ├── 1. Reading Files with Open │ │ ├── LAB - ReadFile.ipynb │ │ └── Quiz - Reading Files with Open │ │ │ ├── Q1.jpg │ │ │ ├── Q2.jpg │ │ │ └── Q3.jpg │ ├── 2. Writing files with open │ │ ├── LAB - WriteFile.ipynb │ │ └── Quiz - Writing Files with Open.docx │ ├── 3. Pandas │ │ ├── LAB - Coding with Pandas.ipynb │ │ └── Quiz - Pandas │ │ │ ├── Q1 & Q2.jpg │ │ │ └── Q3.jpg │ ├── 4. One Dimensional Numpy │ │ ├── LAB - Numpy1D.ipynb │ │ └── Quiz - One Dimensional numpy.docx │ ├── 5. Two Dimensional Numpy │ │ ├── LAB - Numpy2D.ipynb │ │ └── Quiz - Two Dimensional numpy.docx │ ├── 6. Simple API │ │ ├── LAB 1 - Intro_API.ipynb │ │ └── LAB 2 - API_2.ipynb │ └── Readme.md └── Week 5 - Analyzing US Economic Data and Building a Dashboard │ ├── Final Assignment - Python Dashboard.ipynb │ ├── Readme.md │ └── Screenshots │ ├── dashboard.jpg │ ├── gdp_head.jpg │ ├── unemployment_greater_than_8_point_five.jpg │ └── unemployment_head.jpg ├── 5.Databases_and_SQL_for_Data_Science ├── Readme.md ├── Week 1 - Introduction to Databases and Basic SQL │ ├── Lab 1.sql │ ├── Quiz 1 - Databases.docx │ ├── Quiz 2 - Basic SQL.docx │ └── Readme.md ├── Week 2 - Advanced SQL │ ├── 1. String Patterns, Ranges, Sorting, and Grouping │ │ ├── Quiz - String Patterns, Ranges, Sorting and Grouping.docx │ │ ├── Week2Lab1v5.pdf │ │ ├── wk2q1.sql │ │ ├── wk2q2.sql │ │ ├── wk2q3.sql │ │ ├── wk2q4a.sql │ │ ├── wk2q4b.sql │ │ ├── wk2q5a.sql │ │ ├── wk2q5b.sql │ │ ├── wk2q5c.sql │ │ ├── wk2q5d.sql │ │ ├── wk2q5e.sql │ │ └── wk2q6.sql │ ├── 2. Functions, Sub-Queries, Multiple Tables │ │ ├── PETSALE-CREATE.sql │ │ └── Quiz - Functions, Sub-Queries, Multiple Tables.docx │ ├── Readme.md │ └── Table Data │ │ ├── Departments.csv │ │ ├── Employees.csv │ │ ├── Jobs.csv │ │ ├── JobsHistory.csv │ │ ├── Locations.csv │ │ └── Script_Create_Tables.sql ├── Week 3 - Accessing Databases using Python │ ├── Create-Db2-Service-Credentials.pdf │ ├── LAB 1 -Connecting-v4-py.ipynb │ ├── LAB 2 -Querying-v4-py.ipynb │ ├── LAB 3 -SQLmagic-v3-py.ipynb │ ├── LAB 4 -Analyzing-v5-py.ipynb │ ├── Quiz - Database access from Python.docx │ └── Readme.md └── Week 4 - Course Assignment │ ├── Data │ └── Chicago_Public_Schools_-_Progress_Report_Cards__2011-2012-v3.csv │ ├── Final Assignment │ ├── DB0201EN-Week4-2-2-PeerAssign-v5-py.ipynb │ ├── Data │ │ ├── Census_Data_-_Selected_socioeconomic_indicators_in_Chicago__2008___2012-v2.csv │ │ ├── Chicago_Crime_Data-v2.csv │ │ └── Chicago_Public_Schools_-_Progress_Report_Cards__2011-2012-v3.csv │ ├── Readme.md │ └── Screenshots │ │ ├── Q1.jpg │ │ ├── Q10.jpg │ │ ├── Q2.jpg │ │ ├── Q3.jpg │ │ ├── Q4.jpg │ │ ├── Q5.jpg │ │ ├── Q6.jpg │ │ ├── Q7.jpg │ │ ├── Q8.jpg │ │ ├── Q9.jpg │ │ └── Readme.md │ ├── LAB - RealDataPractice-v4-py.ipynb │ └── Readme.md ├── 6.Data_Analysis_with_Python ├── Readme.md ├── Week 1 - Importing Datasets │ ├── LAB - Review-Introduction.ipynb │ ├── Quiz 1 - Understanding the Data.docx │ ├── Quiz 2 - Python Packages for Data Science.docx │ ├── Quiz 3 - Importing and Exporting Data in Python.docx │ ├── Quiz 4 - Getting Started Analyzing Data in Python.docx │ ├── Quiz 5 - Importing Datasets.docx │ └── Readme.md ├── Week 2 - Data Wrangling │ ├── LAB -Review-Data-Wrangling.ipynb │ ├── Quiz 1 - Dealing with Missing Values in Python.docx │ ├── Quiz 2 - Data Formatting in Python.docx │ ├── Quiz 3 - Data Normalization in Python.docx │ ├── Quiz 4 - Turning categorical variables into quantitative variables in Python.docx │ ├── Quiz 5 -Data Wrangling.docx │ └── Readme.md ├── Week 3 - Exploratory Data Analysis │ ├── LAB -Review-Exploratory-Data-Analysis.ipynb │ ├── Quiz 1 - Descriptive Statistics.docx │ ├── Quiz 2 - GroupBy in Python.docx │ ├── Quiz 3 - Correlation.docx │ ├── Quiz 4 - Correlation - Statistics.docx │ ├── Quiz 5 - Exploratory Data Analysis.docx │ └── README.md ├── Week 4 - Model Development │ ├── LAB -Review-Model-Development.ipynb │ ├── Quiz 1 - Linear Regression and Multiple Linear Regression.docx │ ├── Quiz 2 - Model Evaluation using Visualization.docx │ ├── Quiz 3 - Polynomial Regression and Pipelines.docx │ ├── Quiz 4 - Measures for In-Sample Evaluation.docx │ ├── Quiz 5 - Model Development.docx │ └── README.md ├── Week 5 - Model Evaluation │ ├── DA0101EN-Review-Model-Evaluation-and-Refinement.ipynb │ ├── Quiz 1 - Model Evaluation.docx │ ├── Quiz 2 - Overfitting, Underfitting and Model Selection.docx │ ├── Quiz 3 - Ridge Regression.docx │ ├── Quiz 4 - Model Refinement.docx │ └── Readme.md └── Week 6 - Final Assignment │ ├── House Sales in King County, USA.ipynb │ ├── Q1.jpg │ ├── Q10.jpg │ ├── Q2.jpg │ ├── Q3.jpg │ ├── Q4.jpg │ ├── Q5.jpg │ ├── Q6.jpg │ ├── Q7.jpg │ ├── Q8.jpg │ ├── Q9.jpg │ └── README.md ├── 7.Data_Visualization_with_Python ├── Readme.md ├── Week 1 - Introduction to Data Visualization Tools │ ├── DV0101EN-1-1-1-Introduction-to-Matplotlib-and-Line-Plots-py-v2.0.ipynb │ ├── Quiz - Introduction to Data Visualization Tools.docx │ └── Readme.md ├── Week 2 - Basic and Specialized Visualization Tools │ ├── 1. Basic Visualization Tools │ │ ├── LAB-Area-Plots-Histograms-and-Bar-Charts.ipynb │ │ └── Quiz - Basic Visualization Tools.docx │ ├── 2. Specialized Visualization Tools │ │ ├── DV0101EN-2-3-1-Pie-Charts-Box-Pl.ipynb │ │ └── Quiz - Specialized Visualization Tools.docx │ └── Readme.md └── Week 3 - Advanced Visualizations and Geospatial Data │ ├── 1. Advanced Visualization Tools │ ├── DV0101EN-3-4-1-Waffle-Charts-Word-Clo.ipynb │ ├── Quiz - Advanced Visualization Tools.docx │ ├── Readme.md │ ├── waffle_chart.jpg │ └── word_cloud.jpg │ ├── 2. Visualizing Geospatial Data │ ├── LAB-Generating-Maps-in-Python-py-v2.0.ipynb │ └── Quiz - Visualizing Geospatial Data.docx │ ├── 3. Final Assignment │ ├── Data_Visualization_Final_Assingment.ipynb │ ├── Q1.JPG │ ├── Q2.JPG │ ├── Q3.JPG │ ├── Q4.JPG │ └── Readme.md │ └── Readme.md ├── 8.Machine_Learning_with_Python ├── Readme.md ├── Week 1 - Intro to Machine Learning │ ├── Quiz - Intro to Machine Learning │ │ ├── Q1 & Q2.JPG │ │ ├── Q3 & Q4.JPG │ │ └── Q5.JPG │ └── Readme.md ├── Week 2 - Regression │ ├── Linear Regression │ │ ├── LAB1-Reg-Simple-Linear-Regression-Co2.ipynb │ │ └── LAB2-Reg-Mulitple-Linear-Regression-Co2-py-v1.ipynb │ ├── Non-Linear Regression │ │ ├── LAB1-Reg-Polynomial-Regression-Co2-py-v1.ipynb │ │ └── LAB2-Reg-Non-LinearRegression-py-v1.ipynb │ ├── Quiz - Regression │ │ ├── Q1.jpg │ │ ├── Q2 & Q3.jpg │ │ └── Q4 & Q5.jpg │ └── Readme.md ├── Week 3 - Classification │ ├── LAB 1 - K nearest Neighbors │ │ └── LAB-Clas-K-Nearest-neighbors-CustCat-py-v1.ipynb │ ├── LAB 2 - Decision Tree │ │ └── ML0101EN-Clas-Decision-Trees-drug-py-v1.ipynb │ ├── LAB 3 - Logistic Regression │ │ └── ML0101EN-Clas-Logistic-Reg-churn-py-v1.ipynb │ ├── LAB 4 - Support Vector Machines │ │ └── ML0101EN-Clas-SVM-cancer-py-v1.ipynb │ ├── Quiz │ │ ├── Q1.JPG │ │ ├── Q2.JPG │ │ ├── Q3.JPG │ │ └── Q4 & Q5.JPG │ └── Readme.md ├── Week 4 - Clustering │ ├── LAB 1 - k-Means Clustering │ │ └── ML0101EN-Clus-K-Means-Customer-Seg-py-v1.ipynb │ ├── LAB 2 - Hierarchical Clustering │ │ └── ML0101EN-Clus-Hierarchical-Cars-py-v1.ipynb │ ├── LAB 3 - Density based Clustering │ │ └── LAB-DBSCAN-weather-py-v1.ipynb │ └── Quiz - Clustering │ │ ├── Q1.JPG │ │ ├── Q2.JPG │ │ ├── Q3.JPG │ │ ├── Q4.JPG │ │ └── Q5.JPG ├── Week 5 - Recommendation Systems │ ├── LAB 1 - Content-Based-movies-py-v1.ipynb │ ├── LAB 2 - Collaborative-Filtering-movies-py-v1.ipynb │ └── Quiz - Recommender System │ │ ├── Q1.JPG │ │ ├── Q2.JPG │ │ ├── Q3.JPG │ │ ├── Q4.JPG │ │ └── Q5.JPG └── Week 6 - Final Assignment │ ├── ML Final Assignment.ipynb │ ├── ML0101EN-Proj-Loan-answer-py-v1.ipynb │ └── Readme.md ├── 9.Applied_Data_Science_Capstone ├── Readme.md ├── Week 1 - Introduction │ ├── Data_Science_Capstone_Project.ipynb │ └── Readme.md ├── Week 2 - 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