[FreeCourseLab.com] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

•  16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4  160.47 MB
•  12. Probability Distributions/29. A Practical Example of Probability Distributions.mp4  157.83 MB
•  11. Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4  156.61 MB
•  40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4  144.34 MB
•  5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4  138.31 MB
•  10. Combinatorics/20. A Practical Example of Combinatorics.mp4  134.15 MB
•  3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.vtt  126.88 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  126.88 MB
•  5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4  125.15 MB
•  5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4  123.52 MB
•  56. Software Integration/5. Taking a Closer Look at APIs.mp4  115.6 MB
•  20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4  112.61 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  104.09 MB
•  6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4  103.52 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  102.67 MB
•  5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4  99.32 MB
•  13. Probability in Other Fields/1. Probability in Finance.mp4  99.07 MB
•  35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4  97.09 MB
•  51. Deep Learning - Business Case Example/4. Business Case Preprocessing the Data.mp4  92.05 MB
•  20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4  92.04 MB
•  12. Probability Distributions/3. Types of Probability Distributions.mp4  91.59 MB
•  5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4  89.95 MB
•  55. Appendix Deep Learning - TensorFlow 1 Business Case/1. Business Case Getting acquainted with the dataset.mp4  87.66 MB
•  36. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4  86.5 MB
•  9. Part 2 Probability/1. The Basic Probability Formula.mp4  85.92 MB
•  12. Probability Distributions/15. Characteristics of Continuous Distributions.mp4  84.12 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  81.19 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  78.21 MB
•  51. Deep Learning - Business Case Example/1. Business Case Exploring the Dataset and Identifying Predictors.mp4  78.09 MB
•  13. Probability in Other Fields/2. Probability in Statistics.mp4  77.29 MB
•  55. Appendix Deep Learning - TensorFlow 1 Business Case/6. Creating a Data Provider.mp4  76.35 MB
•  9. Part 2 Probability/3. Computing Expected Values.mp4  75.69 MB
•  5. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.mp4  75.51 MB
•  22. Part 4 Introduction to Python/3. Why Python.mp4  75.08 MB
•  58. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4  74.61 MB
•  38. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.mp4  74.46 MB
•  12. Probability Distributions/1. Fundamentals of Probability Distributions.mp4  73.41 MB
•  8. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4  72.86 MB
•  56. Software Integration/9. Software Integration - Explained.mp4  72.65 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  69.49 MB
•  56. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4  69.04 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  67.75 MB