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1. Part 1 Introduction/2. What Does the Course Cover.mp4
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1. Part 1 Introduction/2. What Does the Course Cover.srt
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10. Statistics - Descriptive Statistics/1. Types of Data.mp4
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10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf
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10. Statistics - Descriptive Statistics/10. Histogram Exercise.html
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10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.mp4
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10. Statistics - Descriptive Statistics/13. Mean, median and mode.mp4
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10. Statistics - Descriptive Statistics/15. Skewness.mp4
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10. Statistics - Descriptive Statistics/17. Variance.mp4
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10. Statistics - Descriptive Statistics/19. Standard Deviation and Coefficient of Variation.mp4
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10. Statistics - Descriptive Statistics/2. Types of Data.html
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10. Statistics - Descriptive Statistics/21. Covariance.mp4
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10. Statistics - Descriptive Statistics/23. Correlation Coefficient.mp4
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10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4
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11. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4
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11. Statistics - Practical Example Descriptive Statistics/2. Practical Example Descriptive Statistics Exercise.html
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12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4
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12. Statistics - Inferential Statistics Fundamentals/10. Standard error.mp4
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12. Statistics - Inferential Statistics Fundamentals/11. Estimators and Estimates.mp4
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12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4
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12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4
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12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4
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12. Statistics - Inferential Statistics Fundamentals/8. Central Limit Theorem.mp4
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13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4
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13. Statistics - Inferential Statistics Confidence Intervals/11. Confidence intervals. Two means. Dependent samples.mp4
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16. Statistics - Practical Example Hypothesis Testing/2. Practical Example Hypothesis Testing Exercise.html
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17. Part 3 Introduction to Python/1. Introduction to Programming.mp4
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17. Part 3 Introduction to Python/3. Why Python.mp4
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17. Part 3 Introduction to Python/7. Installing Python and Jupyter.mp4
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17. Part 3 Introduction to Python/8. Understanding Jupyter's Interface - the Notebook Dashboard.mp4
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17. Part 3 Introduction to Python/9. Prerequisites for Coding in the Jupyter Notebooks.mp4
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18. Python - Variables and Data Types/1. Variables.mp4
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18. Python - Variables and Data Types/3. Numbers and Boolean Values in Python.mp4
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18. Python - Variables and Data Types/5. Python Strings.mp4
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19. Python - Basic Python Syntax/1. Using Arithmetic Operators in Python.mp4
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19. Python - Basic Python Syntax/10. Indexing Elements.mp4
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19. Python - Basic Python Syntax/12. Structuring with Indentation.mp4
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19. Python - Basic Python Syntax/7. Add Comments.mp4
5.01MB
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19. Python - Basic Python Syntax/7. Add Comments.srt
1.71KB
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1.49KB
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134B
19. Python - Basic Python Syntax/8. Add Comments.html
161B
19. Python - Basic Python Syntax/9. Understanding Line Continuation.mp4
2.35MB
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19. Python - Basic Python Syntax/9. Understanding Line Continuation.srt
1.14KB
19. Python - Basic Python Syntax/9. Understanding Line Continuation.vtt
1KB
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134B
2. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.mp4
81.41MB
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6.63KB
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5.84KB
2. The Field of Data Science - The Various Data Science Disciplines/10. A Breakdown of our Data Science Infographic.html
161B
2. The Field of Data Science - The Various Data Science Disciplines/2. Data Science and Business Buzzwords Why are there so many.html
161B
2. The Field of Data Science - The Various Data Science Disciplines/3. What is the difference between Analysis and Analytics.mp4
53.56MB
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5.08KB
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4.42KB
2. The Field of Data Science - The Various Data Science Disciplines/4. What is the difference between Analysis and Analytics.html
161B
2. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4
64.51MB
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10.63KB
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9.26KB
2. The Field of Data Science - The Various Data Science Disciplines/5.1 365_DataScience_Diagram.pdf.pdf
323.08KB
2. The Field of Data Science - The Various Data Science Disciplines/6. Business Analytics, Data Analytics, and Data Science An Introduction.html
161B
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4
108.98MB
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11.88KB
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10.43KB
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323.08KB
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6.92MB
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161B
2. The Field of Data Science - The Various Data Science Disciplines/9. A Breakdown of our Data Science Infographic.mp4
67.74MB
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5.11KB
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4.45KB
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6.93MB
20. Python - Other Python Operators/1. Comparison Operators.mp4
10.18MB
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2.47KB
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2.14KB
20. Python - Other Python Operators/1.1 Comparison Operators - Resources.html
134B
20. Python - Other Python Operators/2. Comparison Operators.html
161B
20. Python - Other Python Operators/3. Logical and Identity Operators.mp4
30.05MB
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5.78KB
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4.99KB
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134B
20. Python - Other Python Operators/4. Logical and Identity Operators.html
161B
21. Python - Conditional Statements/1. The IF Statement.mp4
13.63MB
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21. Python - Conditional Statements/1. The IF Statement.srt
3.6KB
21. Python - Conditional Statements/1. The IF Statement.vtt
3.12KB
21. Python - Conditional Statements/1.1 Introduction to the If Statement - Resources.html
134B
21. Python - Conditional Statements/2. The IF Statement.html
161B
21. Python - Conditional Statements/3. The ELSE Statement.mp4
13.58MB
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21. Python - Conditional Statements/3. The ELSE Statement.srt
2.78KB
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2.45KB
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134B
21. Python - Conditional Statements/4. The ELIF Statement.mp4
33.15MB
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6.65KB
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5.75KB
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134B
21. Python - Conditional Statements/5. A Note on Boolean Values.mp4
11.25MB
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2.92KB
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2.55KB
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134B
21. Python - Conditional Statements/6. A Note on Boolean Values.html
161B
22. Python - Python Functions/1. Defining a Function in Python.mp4
7.74MB
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2.53KB
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2.2KB
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134B
22. Python - Python Functions/2. How to Create a Function with a Parameter.mp4
23.87MB
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4.35KB
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3.78KB
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134B
22. Python - Python Functions/3. Defining a Function in Python - Part II.mp4
14.78MB
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22. Python - Python Functions/3. Defining a Function in Python - Part II.srt
3.13KB
22. Python - Python Functions/3. Defining a Function in Python - Part II.vtt
2.7KB
22. Python - Python Functions/3.1 Another Way to Define a Function - Resources.html
134B
22. Python - Python Functions/4. How to Use a Function within a Function.mp4
8.13MB
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22. Python - Python Functions/4. How to Use a Function within a Function.srt
2.04KB
22. Python - Python Functions/4. How to Use a Function within a Function.vtt
1.78KB
22. Python - Python Functions/4.1 Using a Function in Another Function - Resources.html
134B
22. Python - Python Functions/5. Conditional Statements and Functions.mp4
15.69MB
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22. Python - Python Functions/5. Conditional Statements and Functions.srt
3.52KB
22. Python - Python Functions/5. Conditional Statements and Functions.vtt
3.05KB
22. Python - Python Functions/5.1 Combining Conditional Statements and Functions - Resources.html
134B
22. Python - Python Functions/6. Functions Containing a Few Arguments.mp4
7.58MB
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22. Python - Python Functions/6. Functions Containing a Few Arguments.srt
1.31KB
22. Python - Python Functions/6. Functions Containing a Few Arguments.vtt
1.13KB
22. Python - Python Functions/6.1 Creating Functions Containing a Few Arguments - Resources.html
134B
22. Python - Python Functions/7. Built-in Functions in Python.mp4
22.02MB
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22. Python - Python Functions/7. Built-in Functions in Python.srt
4.21KB
22. Python - Python Functions/7. Built-in Functions in Python.vtt
3.68KB
22. Python - Python Functions/7.1 Notable Built-In Functions in Python - Resources.html
134B
22. Python - Python Functions/8. Python Functions.html
161B
23. Python - Sequences/1. Lists.mp4
22MB
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4.99KB
23. Python - Sequences/1. Lists.vtt
4.3KB
23. Python - Sequences/1.1 Lists - Resources.html
134B
23. Python - Sequences/2. Lists.html
161B
23. Python - Sequences/3. Using Methods.mp4
21.95MB
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3.96KB
23. Python - Sequences/3. Using Methods.vtt
3.47KB
23. Python - Sequences/3.1 Help Yourself with Methods - Resources.html
134B
23. Python - Sequences/4. Using Methods.html
161B
23. Python - Sequences/5. List Slicing.mp4
30.77MB
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23. Python - Sequences/5. List Slicing.srt
5.55KB
23. Python - Sequences/5. List Slicing.vtt
4.83KB
23. Python - Sequences/5.1 List Slicing - Resources.html
134B
23. Python - Sequences/6. Tuples.mp4
16.67MB
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23. Python - Sequences/6. Tuples.srt
3.39KB
23. Python - Sequences/6. Tuples.vtt
2.96KB
23. Python - Sequences/6.1 Tuples - Resources.html
134B
23. Python - Sequences/7. Dictionaries.mp4
25.04MB
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4.21KB
23. Python - Sequences/7. Dictionaries.vtt
3.63KB
23. Python - Sequences/7.1 Dictionaries - Resources.html
134B
23. Python - Sequences/8. Dictionaries.html
161B
24. Python - Iterations/1. For Loops.mp4
11.79MB
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2.8KB
24. Python - Iterations/1. For Loops.vtt
2.44KB
24. Python - Iterations/1.1 For Loops - Resources.html
134B
24. Python - Iterations/2. For Loops.html
161B
24. Python - Iterations/3. While Loops and Incrementing.mp4
15.44MB
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2.77KB
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2.42KB
24. Python - Iterations/3.1 While Loops and Incrementing - Resources.html
134B
24. Python - Iterations/4. Lists with the range() Function.mp4
11.42MB
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2.79KB
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2.45KB
24. Python - Iterations/4.1 Create Lists with the range() Function - Resources.html
134B
24. Python - Iterations/5. Lists with the range() Function.html
161B
24. Python - Iterations/6. Conditional Statements and Loops.mp4
16.09MB
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3.59KB
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3.15KB
24. Python - Iterations/6.1 Use Conditional Statements and Loops Together - Resources.html
134B
24. Python - Iterations/7. Conditional Statements, Functions, and Loops.mp4
9.48MB
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2.41KB
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2.09KB
24. Python - Iterations/7.1 All In - Conditional Statements, Functions, and Loops - Resources.html
134B
24. Python - Iterations/8. How to Iterate over Dictionaries.mp4
16.98MB
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3.88KB
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3.34KB
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25. Python - Advanced Python Tools/1. Object Oriented Programming.mp4
33.59MB
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6.1KB
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5.34KB
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161B
25. Python - Advanced Python Tools/3. Modules and Packages.mp4
8.5MB
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1.13KB
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161B
25. Python - Advanced Python Tools/5. What is the Standard Library.mp4
18.04MB
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3.15KB
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161B
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26. Part 4 Advanced Statistical Methods in Python/1. Introduction to Regression Analysis.mp4
17.32MB
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161B
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3.67KB
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5.79KB
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27. Advanced Statistical Methods - Linear regression/3. Correlation vs Regression.mp4
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27. Advanced Statistical Methods - Linear regression/6. Python Packages Installation.mp4
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134B
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134B
27. Advanced Statistical Methods - Linear regression/8. First Regression in Python Exercise.html
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27. Advanced Statistical Methods - Linear regression/8.1 Simple Linear Regression Exercise.html
134B
27. Advanced Statistical Methods - Linear regression/9. Using Seaborn for Graphs.mp4
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28. Advanced Statistical Methods - Multiple Linear Regression/1. Multiple Linear Regression.mp4
21.53MB
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2.93KB
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29. Advanced Statistical Methods - Logistic Regression/5. An Invaluable Coding Tip.mp4
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29. Advanced Statistical Methods - Logistic Regression/6. Understanding Logistic Regression Tables.mp4
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29. Advanced Statistical Methods - Logistic Regression/7. What do the Odds Actually Mean.mp4
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29. Advanced Statistical Methods - Logistic Regression/8. Binary Predictors in a Logistic Regression.mp4
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3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4
126.87MB
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31. Advanced Statistical Methods - K-Means Clustering/5. Pros and Cons of K-Means Clustering.mp4
37.71MB
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31. Advanced Statistical Methods - K-Means Clustering/5. Pros and Cons of K-Means Clustering.srt
4.62KB
31. Advanced Statistical Methods - K-Means Clustering/5. Pros and Cons of K-Means Clustering.vtt
4.01KB
31. Advanced Statistical Methods - K-Means Clustering/6. To Standardize or to not Standardize.mp4
30.11MB
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31. Advanced Statistical Methods - K-Means Clustering/6. To Standardize or to not Standardize.srt
5.89KB
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5.14KB
31. Advanced Statistical Methods - K-Means Clustering/7. Relationship between Clustering and Regression.mp4
9.93MB
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2.18KB
31. Advanced Statistical Methods - K-Means Clustering/7. Relationship between Clustering and Regression.vtt
1.92KB
31. Advanced Statistical Methods - K-Means Clustering/8. Market Segmentation with Cluster Analysis (Part 1).mp4
43.01MB
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31. Advanced Statistical Methods - K-Means Clustering/8. Market Segmentation with Cluster Analysis (Part 1).srt
7.53KB
31. Advanced Statistical Methods - K-Means Clustering/8. Market Segmentation with Cluster Analysis (Part 1).vtt
6.53KB
31. Advanced Statistical Methods - K-Means Clustering/8.1 Market segmentation example.html
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31. Advanced Statistical Methods - K-Means Clustering/9. Market Segmentation with Cluster Analysis (Part 2).mp4
56.11MB
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7.96KB
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134B
32. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.mp4
44.58MB
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4.66KB
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4.12KB
32. Advanced Statistical Methods - Other Types of Clustering/2. Dendrogram.mp4
29.06MB
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7.36KB
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6.41KB
32. Advanced Statistical Methods - Other Types of Clustering/3. Heatmaps.mp4
29.62MB
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6.35KB
32. Advanced Statistical Methods - Other Types of Clustering/3. Heatmaps.vtt
5.47KB
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134B
33. Part 5 Mathematics/1. What is a matrix.mp4
33.59MB
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4.35KB
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33. Part 5 Mathematics/10. Addition and Subtraction of Matrices.mp4
32.62MB
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4.05KB
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3.48KB
33. Part 5 Mathematics/10.1 Addition and Subtraction of Matrices Python Notebook.html
178B
33. Part 5 Mathematics/11. Addition and Subtraction of Matrices.html
161B
33. Part 5 Mathematics/12. Errors when Adding Matrices.mp4
11.18MB
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2.58KB
33. Part 5 Mathematics/12. Errors when Adding Matrices.vtt
2.27KB
33. Part 5 Mathematics/12.1 Errors when Adding Matrices Python Notebook.html
220B
33. Part 5 Mathematics/13. Transpose of a Matrix.mp4
38.07MB
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5.37KB
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4.69KB
33. Part 5 Mathematics/13.1 Transpose of a Matrix Python Notebook.html
167B
33. Part 5 Mathematics/14. Dot Product.mp4
24MB
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4.27KB
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3.68KB
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33. Part 5 Mathematics/15. Dot Product of Matrices.mp4
49.43MB
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9.52KB
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8.22KB
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171B
33. Part 5 Mathematics/16. Why is Linear Algebra Useful.mp4
144.34MB
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33. Part 5 Mathematics/16. Why is Linear Algebra Useful.srt
11.79KB
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161B
33. Part 5 Mathematics/3. Scalars and Vectors.mp4
33.85MB
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3.78KB
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3.3KB
33. Part 5 Mathematics/4. Scalars and Vectors.html
161B
33. Part 5 Mathematics/5. Linear Algebra and Geometry.mp4
49.79MB
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33. Part 5 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.mp4
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33. Part 5 Mathematics/8. What is a Tensor.mp4
22.53MB
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/2.1 Course Notes - Section 6.pdf.pdf
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/3. Digging into a Deep Net.mp4
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/3. Digging into a Deep Net.vtt
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/4. Non-Linearities and their Purpose.mp4
27.68MB
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3.89KB
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5.26KB
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/6. Activation Functions Softmax Activation.mp4
25.92MB
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4.46KB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/6. Activation Functions Softmax Activation.vtt
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/7. Backpropagation.mp4
34.95MB
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/8. Backpropagation picture.mp4
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38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/8. Backpropagation picture.vtt
3.44KB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/9. Backpropagation - A Peek into the Mathematics of Optimization.html
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182.36KB
39. Deep Learning - Overfitting/1. What is Overfitting.mp4
31.08MB
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5.58KB
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39. Deep Learning - Overfitting/2. Underfitting and Overfitting for Classification.mp4
25.07MB
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39. Deep Learning - Overfitting/4. Training, Validation, and Test Datasets.mp4
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39. Deep Learning - Overfitting/5. N-Fold Cross Validation.mp4
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39. Deep Learning - Overfitting/6. Early Stopping or When to Stop Training.mp4
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4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4
81.19MB
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40. Deep Learning - Initialization/1. What is Initialization.mp4
21.76MB
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14.31MB
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3.68KB
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40. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4
17.14MB
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40. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.srt
3.71KB
40. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.vtt
3.24KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.mp4
28.68MB
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41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.srt
4.82KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.vtt
4.18KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.mp4
11.02MB
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41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.srt
2.83KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.vtt
2.5KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/3. Momentum.mp4
16.44MB
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3.45KB
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3.04KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4
29.09MB
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5.94KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.vtt
5.22KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/5. Learning Rate Schedules Visualized.mp4
9.11MB
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2.17KB
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1.9KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/6. Adaptive Learning Rate Schedules ( AdaGrad and RMSprop ).mp4
26.35MB
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5.21KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/6. Adaptive Learning Rate Schedules ( AdaGrad and RMSprop ).vtt
4.57KB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/7. Adam (Adaptive Moment Estimation).mp4
22.36MB
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3.33KB
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2.92KB
42. Deep Learning - Preprocessing/1. Preprocessing Introduction.mp4
27.78MB
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3.87KB
42. Deep Learning - Preprocessing/1. Preprocessing Introduction.vtt
3.39KB
42. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.mp4
11.84MB
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1.64KB
42. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.vtt
1.46KB
42. Deep Learning - Preprocessing/3. Standardization.mp4
50.98MB
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5.98KB
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5.29KB
42. Deep Learning - Preprocessing/4. Preprocessing Categorical Data.mp4
18.6MB
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2.77KB
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2.42KB
42. Deep Learning - Preprocessing/5. Binary and One-Hot Encoding.mp4
28.95MB
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4.81KB
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4.18KB
43. Deep Learning - Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.mp4
17.82MB
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3.5KB
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3.07KB
43. Deep Learning - Classifying on the MNIST Dataset/10. MNIST Exercises.html
2.13KB
43. Deep Learning - Classifying on the MNIST Dataset/10.1 TensorFlow MNIST All Exercises.html
144B
43. Deep Learning - Classifying on the MNIST Dataset/11. MNIST Solutions.html
2.19KB
43. Deep Learning - Classifying on the MNIST Dataset/11.1 TensorFlow MNIST 'Time' Solution.html
162B
43. Deep Learning - Classifying on the MNIST Dataset/11.10 TensorFlow MNIST '5. Activation Functions (Part 2)' Solution.html
172B
43. Deep Learning - Classifying on the MNIST Dataset/11.11 TensorFlow MNIST 'Around 98% Accuracy' Solution.html
157B
43. Deep Learning - Classifying on the MNIST Dataset/11.2 TensorFlow MNIST '1. Width' Solution.html
150B
43. Deep Learning - Classifying on the MNIST Dataset/11.3 TensorFlow MNIST '3. Width and Depth' Solution.html
160B
43. Deep Learning - Classifying on the MNIST Dataset/11.4 TensorFlow MNIST '2. Depth' Solution.html
150B
43. Deep Learning - Classifying on the MNIST Dataset/11.5 TensorFlow MNIST '8. Learning Rate (Part 1)' Solution.html
165B
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165B
43. Deep Learning - Classifying on the MNIST Dataset/11.7 TensorFlow MNIST '7. Batch size (Part 2)' Solution.html
162B
43. Deep Learning - Classifying on the MNIST Dataset/11.8 TensorFlow MNIST '4. Activation Functions (Part 1)' Solution.html
172B
43. Deep Learning - Classifying on the MNIST Dataset/11.9 TensorFlow MNIST '6. Batch size (Part 1)' Solution.html
162B
43. Deep Learning - Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.mp4
22.59MB
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3.62KB
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3.17KB
43. Deep Learning - Classifying on the MNIST Dataset/3. MNIST Relevant Packages.mp4
18.91MB
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2.12KB
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1.89KB
43. Deep Learning - Classifying on the MNIST Dataset/3.1 TensorFlow MNIST Part 1 with Comments.html
159B
43. Deep Learning - Classifying on the MNIST Dataset/4. MNIST Model Outline.mp4
56.38MB
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43. Deep Learning - Classifying on the MNIST Dataset/4.1 TensorFlow MNIST Part 2 with Comments.html
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25.86MB
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3.54KB
43. Deep Learning - Classifying on the MNIST Dataset/5. MNIST Loss and Optimization Algorithm.vtt
3.09KB
43. Deep Learning - Classifying on the MNIST Dataset/5.1 TensorFlow MNIST Part 3 with Comments.html
159B
43. Deep Learning - Classifying on the MNIST Dataset/6. Calculating the Accuracy of the Model.mp4
43.9MB
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5.19KB
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4.51KB
43. Deep Learning - Classifying on the MNIST Dataset/6.1 TensorFlow MNIST Part 4 with Comments.html
159B
43. Deep Learning - Classifying on the MNIST Dataset/7. MNIST Batching and Early Stopping.mp4
12.85MB
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2.93KB
43. Deep Learning - Classifying on the MNIST Dataset/7. MNIST Batching and Early Stopping.vtt
2.56KB
43. Deep Learning - Classifying on the MNIST Dataset/7.1 TensorFlow MNIST Part 5 with Comments.html
159B
43. Deep Learning - Classifying on the MNIST Dataset/8. MNIST Learning.mp4
46.69MB
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10.2KB
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8.89KB
43. Deep Learning - Classifying on the MNIST Dataset/8.1 TensorFlow MNIST Part 6 with Comments.html
159B
43. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Results and Testing.mp4
62.77MB
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8.17KB
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7.15KB
43. Deep Learning - Classifying on the MNIST Dataset/9.1 TensorFlow MNIST Complete Code with Comments.html
152B
44. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4
87.66MB
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10.79KB
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44. Deep Learning - Business Case Example/1.1 Audiobooks_data.csv.csv
710.77KB
44. Deep Learning - Business Case Example/10. Business Case Testing the Model.mp4
11.2MB
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2.36KB
44. Deep Learning - Business Case Example/11. Business Case A Comment on the Homework.mp4
36.38MB
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134B
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134B
44. Deep Learning - Business Case Example/2. Business Case Outlining the Solution.mp4
12.22MB
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44. Deep Learning - Business Case Example/3. The Importance of Working with a Balanced Dataset.mp4
39.41MB
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44. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4
103.41MB
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11.71KB
44. Deep Learning - Business Case Example/4.1 Audiobooks Preprocessing.html
134B
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383B
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134B
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44. Deep Learning - Business Case Example/7. Business Case Model Outline.mp4
53.13MB
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6.07KB
44. Deep Learning - Business Case Example/7.1 TensorFlow Business Case Model Outline.html
134B
44. Deep Learning - Business Case Example/8. Business Case Optimization.mp4
41.52MB
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5.76KB
44. Deep Learning - Business Case Example/8.1 TensorFlow Business Case Optimization.html
134B
44. Deep Learning - Business Case Example/9. Business Case Interpretation.mp4
25.74MB
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39.76MB
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5. The Field of Data Science - Popular Data Science Techniques/9. Real Life Examples of Business Intelligence (BI).mp4
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6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4
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7. The Field of Data Science - Careers in Data Science/1. Finding the Job - What to Expect and What to Look for.mp4
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8. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4
72.85MB
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8. The Field of Data Science - Debunking Common Misconceptions/2. Debunking Common Misconceptions.html
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9. Part 2 Statistics/1. Population and Sample.mp4
58.11MB
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9. Part 2 Statistics/1.1 Glossary.xlsx.xlsx
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9. Part 2 Statistics/1.2 Course notes_descriptive_statistics.pdf.pdf
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[FreeCourseSite.com].url
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