| 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 | 160.46 MB |
| 12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 | 157.82 MB |
| 11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 | 145.12 MB |
| 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 | 144.33 MB |
| 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 | 138.3 MB |
| 10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 | 134.31 MB |
| 3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 | 126.87 MB |
| 5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 | 125.14 MB |
| 56. Software Integration/5. Taking a Closer Look at APIs.mp4 | 115.59 MB |
| 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 | 111.65 MB |
| 2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 | 108.98 MB |
| 56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 | 104.08 MB |
| 6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 | 103.51 MB |
| 55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 | 103.41 MB |
| 19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 | 102.66 MB |
| 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 | 99.32 MB |
| 13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 | 99.06 MB |
| 35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 | 97.08 MB |
| 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 | 92.04 MB |
| 12. Probability - Distributions/3. Types of Probability Distributions.mp4 | 91.58 MB |
| 5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 | 89.94 MB |
| 55. Appendix Deep Learning - TensorFlow 1 Business Case/1. Business Case Getting acquainted with the dataset.mp4 | 87.65 MB |
| 36. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4 | 86.49 MB |
| 9. Part 2 Probability/1. The Basic Probability Formula.mp4 | 85.91 MB |
| 51. Deep Learning - Business Case Example/4. Business Case Preprocessing the Data.mp4 | 84.33 MB |
| 12. Probability - Distributions/15. Characteristics of Continuous Distributions.mp4 | 84.12 MB |
| 20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 | 82.61 MB |
| 2. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.mp4 | 81.41 MB |
| 4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4 | 81.18 MB |
| 58. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4 | 81.11 MB |
| 18. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4 | 78.2 MB |
| 13. Probability - Probability in Other Fields/2. Probability in Statistics.mp4 | 77.28 MB |
| 55. Appendix Deep Learning - TensorFlow 1 Business Case/6. Creating a Data Provider.mp4 | 76.34 MB |
| 9. Part 2 Probability/3. Computing Expected Values.mp4 | 75.68 MB |
| 5. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.mp4 | 75.5 MB |
| 22. Part 4 Introduction to Python/3. Why Python.mp4 | 75.07 MB |
| 58. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4 | 74.6 MB |
| 38. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.mp4 | 74.45 MB |
| 12. Probability - Distributions/1. Fundamentals of Probability Distributions.mp4 | 73.4 MB |
| 8. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4 | 72.85 MB |
| 15. Statistics - Descriptive Statistics/1. Types of Data.mp4 | 72.52 MB |
| 37. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.mp4 | 71.53 MB |
| 18. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4 | 70.47 MB |
| 21. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4 | 69.48 MB |
| 56. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4 | 69.03 MB |
| 12. Probability - Distributions/11. Discrete Distributions The Binomial Distribution.mp4 | 68.83 MB |
| 2. The Field of Data Science - The Various Data Science Disciplines/9. A Breakdown of our Data Science Infographic.mp4 | 67.74 MB |
| 51. Deep Learning - Business Case Example/1. Business Case Exploring the Dataset and Identifying Predictors.mp4 | 66.27 MB |
| 2. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4 | 64.51 MB |
| 56. Software Integration/9. Software Integration - Explained.mp4 | 63.69 MB |