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

16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4

40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4

5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4

10. Combinatorics/20. A Practical Example of Combinatorics.mp4

3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4

5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4

5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4

53. Software Integration/5. Taking a Closer Look at APIs.mp4

20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4

2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4

53. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4

6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4

51. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4

19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4

5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4

13. Probability in Other Fields/1. Probability in Finance.mp4

35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4

12. Probability Distributions/3. Types of Probability Distributions.mp4

20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4

5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4

51. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4

36. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4

9. Part 2 Probability/1. The Basic Probability Formula.mp4

2. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.mp4

4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4

55. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4

12. Probability Distributions/15. Characteristics of Continuous Distributions.mp4

18. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4

13. Probability in Other Fields/2. Probability in Statistics.mp4

51. Deep Learning - Business Case Example/6. Creating a Data Provider.mp4

9. Part 2 Probability/3. Computing Expected Values.mp4

5. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.mp4

22. Part 4 Introduction to Python/3. Why Python.mp4

55. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4

38. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.mp4

12. Probability Distributions/1. Fundamentals of Probability Distributions.mp4

8. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4

53. Software Integration/9. Software Integration - Explained.mp4

15. Statistics - Descriptive Statistics/1. Types of Data.mp4

37. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.mp4

18. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4

21. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4

53. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4

2. The Field of Data Science - The Various Data Science Disciplines/9. A Breakdown of our Data Science Infographic.mp4

12. Probability Distributions/11. Discrete Distributions The Binomial Distribution.mp4

2. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4

13. Probability in Other Fields/3. Probability in Data Science.mp4

17. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4

50. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Results and Testing.mp4

1. Part 1 Introduction/2. What Does the Course Cover.mp4