[DesireCourse.Net] Udemy - Practical statistics for data and business analysis

File Name

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1. Getting Started/1. Slides and material used in this content.html

1.1 kB

1. Getting Started/2. Introduction and overview about data analysis.mp4

41 MB

1. Getting Started/2. Introduction and overview about data analysis.vtt

2.1 kB

1. Getting Started/3. Is programming for data science easy or hard .mp4

11 MB

1. Getting Started/3. Is programming for data science easy or hard .vtt

965 B

1. Getting Started/4. What is the main concept of data analysis .mp4

12 MB

1. Getting Started/4. What is the main concept of data analysis .vtt

1012 B

1. Getting Started/5. Machine learning should be after practical statistics.mp4

14 MB

1. Getting Started/5. Machine learning should be after practical statistics.vtt

1.3 kB

1. Getting Started/6. General overview about what will you learn in data science courses.mp4

12 MB

1. Getting Started/6. General overview about what will you learn in data science courses.vtt

891 B

1. Getting Started/7. Collection about important questions related to data science.mp4

30 MB

1. Getting Started/7. Collection about important questions related to data science.vtt

2.6 kB

1. Getting Started/8. Be patient for interview questions.mp4

12 MB

1. Getting Started/8. Be patient for interview questions.vtt

1.2 kB

1. Getting Started/9. People are panic from robot jobs.mp4

18 MB

1. Getting Started/9. People are panic from robot jobs.vtt

1.4 kB

10. Center of numerical data/1. Slides and material used in this content.html

2.3 kB

10. Center of numerical data/10. I'm confused between mean , median and mode.mp4

16 MB

10. Center of numerical data/2. introduction about data center.mp4

19 MB

10. Center of numerical data/2. introduction about data center.vtt

933 B

10. Center of numerical data/3. Characteristics of numerical data.mp4

20 MB

10. Center of numerical data/3. Characteristics of numerical data.vtt

2.2 kB

10. Center of numerical data/4. Categorical data characteristics considered to be limited.mp4

12 MB

10. Center of numerical data/4. Categorical data characteristics considered to be limited.vtt

935 B

10. Center of numerical data/5. Example about characteristics of categorical data.mp4

16 MB

10. Center of numerical data/5. Example about characteristics of categorical data.vtt

1.2 kB

10. Center of numerical data/6. What are measures of center .mp4

10 MB

10. Center of numerical data/6. What are measures of center .vtt

842 B

10. Center of numerical data/7. Examples of mean.mp4

42 MB

10. Center of numerical data/7. Examples of mean.vtt

2.2 kB

10. Center of numerical data/8. Examples of median.mp4

33 MB

10. Center of numerical data/8. Examples of median.vtt

2.9 kB

10. Center of numerical data/9. Examples of mode.mp4

45 MB

10. Center of numerical data/9. Examples of mode.vtt

3.0 kB

2. Careers and robot jobs/1. Slides and material used in this content.html

1.3 kB

2. Careers and robot jobs/2. Important questions about Robot jobs and my career.mp4

24 MB

2. Careers and robot jobs/2. Important questions about Robot jobs and my career.vtt

1.2 kB

2. Careers and robot jobs/3. High demand for hiring data analysis engineer.mp4

20 MB

2. Careers and robot jobs/3. High demand for hiring data analysis engineer.vtt

2.0 kB

2. Careers and robot jobs/4. Example about robot jobs.mp4

21 MB

2. Careers and robot jobs/4. Example about robot jobs.vtt

1.5 kB

2. Careers and robot jobs/5. Robot jobs will create new jobs for you because it is a friend.mp4

23 MB

2. Careers and robot jobs/5. Robot jobs will create new jobs for you because it is a friend.vtt

1.6 kB

2. Careers and robot jobs/6. It is not easy to hire data science engineer.mp4

9.0 MB

2. Careers and robot jobs/6. It is not easy to hire data science engineer.vtt

1.4 kB

2. Careers and robot jobs/7. Why do you think that learning programming is Barrier in data analysis .mp4

7.8 MB

2. Careers and robot jobs/7. Why do you think that learning programming is Barrier in data analysis .vtt

734 B

3. Startup point of programming in data analysis/1. Slides and material used in this content.html

2.3 kB

3. Startup point of programming in data analysis/2. Collection of important questions related to programming.mp4

20 MB

3. Startup point of programming in data analysis/2. Collection of important questions related to programming.vtt

1.1 kB

3. Startup point of programming in data analysis/3. Should i learn programming like professional .mp4

10 MB

3. Startup point of programming in data analysis/3. Should i learn programming like professional .vtt

1.1 kB

3. Startup point of programming in data analysis/4. Where is my start up point to learn programming .mp4

57 MB

3. Startup point of programming in data analysis/4. Where is my start up point to learn programming .vtt

7.4 kB

3. Startup point of programming in data analysis/5. R language not for software developers.mp4

8.3 MB

3. Startup point of programming in data analysis/5. R language not for software developers.vtt

1.6 kB

3. Startup point of programming in data analysis/6. Programming in data analysis uses simple and easy language.mp4

7.5 MB

3. Startup point of programming in data analysis/6. Programming in data analysis uses simple and easy language.vtt

684 B

3. Startup point of programming in data analysis/7. Review about our questions related to programming.mp4

50 MB

3. Startup point of programming in data analysis/7. Review about our questions related to programming.vtt

50 MB

3. Startup point of programming in data analysis/8. What is our example in programming .mp4

4.9 MB

3. Startup point of programming in data analysis/8. What is our example in programming .vtt

510 B

4. Example about programming and big data/1. Important introduction about SQL example.mp4

38 MB

4. Example about programming and big data/1. Important introduction about SQL example.vtt

3.0 kB

4. Example about programming and big data/10. What is velocity in big data .mp4

28 MB

4. Example about programming and big data/10. What is velocity in big data .vtt

3.4 kB

4. Example about programming and big data/11. Big data is something made overloads.mp4

22 MB

4. Example about programming and big data/11. Big data is something made overloads.vtt

1.6 kB

4. Example about programming and big data/2. Run your first SQL command without any previous experience.mp4

18 MB

4. Example about programming and big data/2. Run your first SQL command without any previous experience.vtt

2.1 kB

4. Example about programming and big data/3. Note the difference between SQL and English language.mp4

6.4 MB

4. Example about programming and big data/3. Note the difference between SQL and English language.vtt

1.1 kB

4. Example about programming and big data/4. Python with sample activity.mp4

29 MB

4. Example about programming and big data/4. Python with sample activity.vtt

4.9 kB

4. Example about programming and big data/5. Review about Python and SQL in data analysis.mp4

7.9 MB

4. Example about programming and big data/5. Review about Python and SQL in data analysis.vtt

845 B

4. Example about programming and big data/6. What is big data .mp4

9.0 MB

4. Example about programming and big data/6. What is big data .vtt

1.5 kB

4. Example about programming and big data/7. Professional answer about what is big data .mp4

26 MB

4. Example about programming and big data/7. Professional answer about what is big data .vtt

1.6 kB

4. Example about programming and big data/8. What is OVERLOADS in a big data .mp4

12 MB

4. Example about programming and big data/8. What is OVERLOADS in a big data .vtt

926 B

4. Example about programming and big data/9. Variety in big data.mp4

30 MB

4. Example about programming and big data/9. Variety in big data.vtt

4.2 kB

5. What is after data analysis/1. Slides and material used in this content.html

929 B

5. What is after data analysis/2. Introduction with important questions .mp4

25 MB

5. What is after data analysis/2. Introduction with important questions .vtt

1.3 kB

5. What is after data analysis/3. Difference between data analytics and data science.mp4

30 MB

5. What is after data analysis/3. Difference between data analytics and data science.vtt

2.7 kB

5. What is after data analysis/4. What is after data analysis .mp4

58 MB

5. What is after data analysis/4. What is after data analysis .vtt

3.3 kB

5. What is after data analysis/5. What is professional people in data analysis care .mp4

26 MB

5. What is after data analysis/5. What is professional people in data analysis care .vtt

1.9 kB

5. What is after data analysis/6. Your data is your treasure.mp4

17 MB

5. What is after data analysis/6. Your data is your treasure.vtt

1.3 kB

6. introduction before descriptive statistics/1. Slides and material used in this content.html

708 B

6. introduction before descriptive statistics/2. Our strategy to learn practical statistics.mp4

22 MB

6. introduction before descriptive statistics/2. Our strategy to learn practical statistics.vtt

2.2 kB

6. introduction before descriptive statistics/3. Four main things in practical statistics.mp4

12 MB

6. introduction before descriptive statistics/3. Four main things in practical statistics.vtt

1.1 kB

7. Comparison between inferential ans descriptive statistics/1. Slides and material used in this content.html

873 B

7. Comparison between inferential ans descriptive statistics/2. Simplified viewpoint about descriptive and inferential statistics.mp4

89 MB

7. Comparison between inferential ans descriptive statistics/2. Simplified viewpoint about descriptive and inferential statistics.vtt

5.8 kB

7. Comparison between inferential ans descriptive statistics/3. Data before and after descriptive statistics.mp4

49 MB

7. Comparison between inferential ans descriptive statistics/3. Data before and after descriptive statistics.vtt

3.2 kB

7. Comparison between inferential ans descriptive statistics/4. Conclusions between inferential and descriptive statistics.mp4

20 MB

7. Comparison between inferential ans descriptive statistics/4. Conclusions between inferential and descriptive statistics.vtt

1.5 kB

7. Comparison between inferential ans descriptive statistics/5. Population and sample in inferential statistics.mp4

61 MB

7. Comparison between inferential ans descriptive statistics/5. Population and sample in inferential statistics.vtt

3.3 kB

7. Comparison between inferential ans descriptive statistics/6. Simplified viewpoint about inferential statistics data.mp4

25 MB

7. Comparison between inferential ans descriptive statistics/6. Simplified viewpoint about inferential statistics data.vtt

2.0 kB

8. FAQ about descriptive statistics/1. Slides and material used in this content.html

884 B

8. FAQ about descriptive statistics/2. What will we learn in descriptive statistics .mp4

38 MB

8. FAQ about descriptive statistics/2. What will we learn in descriptive statistics .vtt

2.4 kB

8. FAQ about descriptive statistics/3. Statistics between Lie and trustworthy.mp4

14 MB

8. FAQ about descriptive statistics/3. Statistics between Lie and trustworthy.vtt

1.0 kB

8. FAQ about descriptive statistics/4. Waitress should be friendly or friendlier .mp4

28 MB

8. FAQ about descriptive statistics/4. Waitress should be friendly or friendlier .vtt

2.0 kB

9. Data types/1. Slides and material used in this content.html

2.1 kB

9. Data types/2. Introduction about data types.mp4

13 MB

9. Data types/2. Introduction about data types.vtt

665 B

9. Data types/3. the benefit of data types.mp4

19 MB

9. Data types/3. the benefit of data types.vtt

1.4 kB

9. Data types/4. Categorical data types.mp4

25 MB

9. Data types/4. Categorical data types.vtt

2.1 kB

9. Data types/5. Data types ( continuous vs discrete ).mp4

34 MB

9. Data types/5. Data types ( continuous vs discrete ).vtt

2.9 kB

9. Data types/6. Difference between numerical and categorical data.mp4

40 MB

9. Data types/6. Difference between numerical and categorical data.vtt

2.6 kB

9. Data types/7. Quizzes and examples about data types.mp4

179 MB

9. Data types/7. Quizzes and examples about data types.vtt

9.8 kB

9. Data types/8. The summary about data types.mp4

25 MB

9. Data types/8. The summary about data types.vtt

1.5 kB

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