| 11. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 | 160.46 MB |
| 33. Part 5 Mathematics/16. Why is Linear Algebra Useful.mp4 | 144.34 MB |
| 05. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 | 138.31 MB |
| 03. 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 |
| 05. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 | 125.15 MB |
| 05. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 | 123.51 MB |
| 46. Software Integration/5. Taking a Closer Look at APIs.mp4 | 115.59 MB |
| 15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 | 112.6 MB |
| 02. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 | 108.99 MB |
| 46. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 | 104.08 MB |
| 06. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 | 103.51 MB |
| 44. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4 | 103.42 MB |
| 14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 | 102.66 MB |
| 05. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 | 99.33 MB |
| 15. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 | 92.04 MB |
| 05. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 | 89.94 MB |
| 44. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4 | 87.65 MB |
| 29. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4 | 86.49 MB |
| 02. 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 |
| 04. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4 | 81.18 MB |
| 48. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4 | 81.11 MB |
| 13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4 | 78.21 MB |
| 44. Deep Learning - Business Case Example/6. Creating a Data Provider.mp4 | 76.34 MB |
| 05. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.mp4 | 75.5 MB |
| 17. Part 3 Introduction to Python/3. Why Python.mp4 | 75.08 MB |
| 48. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4 | 74.6 MB |
| 31. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.mp4 | 74.45 MB |
| 08. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4 | 72.85 MB |
| 46. Software Integration/9. Software Integration - Explained.mp4 | 72.64 MB |
| 10. Statistics - Descriptive Statistics/1. Types of Data.mp4 | 72.52 MB |
| 30. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.mp4 | 71.53 MB |
| 13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4 | 70.47 MB |
| 16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4 | 69.49 MB |
| 46. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4 | 69.03 MB |
| 02. The Field of Data Science - The Various Data Science Disciplines/9. A Breakdown of our Data Science Infographic.mp4 | 67.74 MB |
| 02. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4 | 64.52 MB |
| 12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4 | 62.88 MB |
| 43. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Results and Testing.mp4 | 62.77 MB |
| 01. Part 1 Introduction/2. What Does the Course Cover.mp4 | 62.26 MB |
| 48. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.mp4 | 61.9 MB |
| 48. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.mp4 | 61.76 MB |
| 12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4 | 61.59 MB |
| 36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/4. Basic NN Example (Part 4).mp4 | 61.13 MB |
| 46. Software Integration/7. Communication between Software Products through Text Files.mp4 | 60.34 MB |
| 38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/3. Digging into a Deep Net.mp4 | 59.36 MB |
| 51. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4 | 59.34 MB |
| 13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4 | 59.16 MB |
| 45. Deep Learning - Conclusion/3. An overview of CNNs.mp4 | 58.79 MB |
| 17. Part 3 Introduction to Python/1. Introduction to Programming.mp4 | 58.55 MB |
| 09. Part 2 Statistics/1. Population and Sample.mp4 | 58.12 MB |