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DesireCourse Net Udemy Practical statistics for data and business analysis

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

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Total Size

1.8 GB

Total Files

136

Last Seen

2024-11-16 23:37

Hash

DA5876F612D4B19D955277548416F2A121F2F051

/1. Getting Started/

1. Slides and material used in this content.html

1.1 KB

2. Introduction and overview about data analysis.mp4

43.4 MB

2. Introduction and overview about data analysis.vtt

2.2 KB

3. Is programming for data science easy or hard .mp4

11.4 MB

3. Is programming for data science easy or hard .vtt

1.0 KB

4. What is the main concept of data analysis .mp4

12.2 MB

4. What is the main concept of data analysis .vtt

1.0 KB

5. Machine learning should be after practical statistics.mp4

14.5 MB

5. Machine learning should be after practical statistics.vtt

1.3 KB

6. General overview about what will you learn in data science courses.mp4

12.9 MB

6. General overview about what will you learn in data science courses.vtt

0.9 KB

7. Collection about important questions related to data science.mp4

31.1 MB

7. Collection about important questions related to data science.vtt

2.6 KB

8. Be patient for interview questions.mp4

12.5 MB

8. Be patient for interview questions.vtt

1.3 KB

9. People are panic from robot jobs.mp4

18.4 MB

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

2.4 KB

10. I'm confused between mean , median and mode.mp4

16.6 MB

2. introduction about data center.mp4

20.4 MB

2. introduction about data center.vtt

0.9 KB

3. Characteristics of numerical data.mp4

21.0 MB

3. Characteristics of numerical data.vtt

2.2 KB

4. Categorical data characteristics considered to be limited.mp4

12.2 MB

4. Categorical data characteristics considered to be limited.vtt

0.9 KB

5. Example about characteristics of categorical data.mp4

16.8 MB

5. Example about characteristics of categorical data.vtt

1.2 KB

6. What are measures of center .mp4

10.7 MB

6. What are measures of center .vtt

0.8 KB

7. Examples of mean.mp4

43.7 MB

7. Examples of mean.vtt

2.3 KB

8. Examples of median.mp4

34.2 MB

8. Examples of median.vtt

2.9 KB

9. Examples of mode.mp4

46.9 MB

9. Examples of mode.vtt

3.1 KB

/2. Careers and robot jobs/

1. Slides and material used in this content.html

1.3 KB

2. Important questions about Robot jobs and my career.mp4

25.7 MB

2. Important questions about Robot jobs and my career.vtt

1.3 KB

3. High demand for hiring data analysis engineer.mp4

20.6 MB

3. High demand for hiring data analysis engineer.vtt

2.1 KB

4. Example about robot jobs.mp4

22.3 MB

4. Example about robot jobs.vtt

1.6 KB

5. Robot jobs will create new jobs for you because it is a friend.mp4

23.9 MB

5. Robot jobs will create new jobs for you because it is a friend.vtt

1.6 KB

6. It is not easy to hire data science engineer.mp4

9.5 MB

6. It is not easy to hire data science engineer.vtt

1.4 KB

7. Why do you think that learning programming is Barrier in data analysis .mp4

8.2 MB

7. Why do you think that learning programming is Barrier in data analysis .vtt

0.7 KB

/3. Startup point of programming in data analysis/

1. Slides and material used in this content.html

2.4 KB

2. Collection of important questions related to programming.mp4

21.3 MB

2. Collection of important questions related to programming.vtt

1.1 KB

3. Should i learn programming like professional .mp4

11.0 MB

3. Should i learn programming like professional .vtt

1.1 KB

4. Where is my start up point to learn programming .mp4

59.4 MB

4. Where is my start up point to learn programming .vtt

7.5 KB

5. R language not for software developers.mp4

8.7 MB

5. R language not for software developers.vtt

1.6 KB

6. Programming in data analysis uses simple and easy language.mp4

7.9 MB

6. Programming in data analysis uses simple and easy language.vtt

0.7 KB

7. Review about our questions related to programming.mp4

51.9 MB

7. Review about our questions related to programming.vtt

51.9 MB

8. What is our example in programming .mp4

5.2 MB

8. What is our example in programming .vtt

0.5 KB

/4. Example about programming and big data/

1. Important introduction about SQL example.mp4

39.4 MB

1. Important introduction about SQL example.vtt

3.1 KB

10. What is velocity in big data .mp4

29.0 MB

10. What is velocity in big data .vtt

3.5 KB

11. Big data is something made overloads.mp4

22.7 MB

11. Big data is something made overloads.vtt

1.6 KB

2. Run your first SQL command without any previous experience.mp4

19.0 MB

2. Run your first SQL command without any previous experience.vtt

2.2 KB

3. Note the difference between SQL and English language.mp4

6.7 MB

3. Note the difference between SQL and English language.vtt

1.1 KB

4. Python with sample activity.mp4

30.1 MB

4. Python with sample activity.vtt

5.0 KB

5. Review about Python and SQL in data analysis.mp4

8.2 MB

5. Review about Python and SQL in data analysis.vtt

0.8 KB

6. What is big data .mp4

9.5 MB

6. What is big data .vtt

1.5 KB

7. Professional answer about what is big data .mp4

26.9 MB

7. Professional answer about what is big data .vtt

1.7 KB

8. What is OVERLOADS in a big data .mp4

12.9 MB

8. What is OVERLOADS in a big data .vtt

0.9 KB

9. Variety in big data.mp4

31.8 MB

9. Variety in big data.vtt

4.3 KB

/5. What is after data analysis/

1. Slides and material used in this content.html

0.9 KB

2. Introduction with important questions .mp4

25.8 MB

2. Introduction with important questions .vtt

1.3 KB

3. Difference between data analytics and data science.mp4

31.3 MB

3. Difference between data analytics and data science.vtt

2.8 KB

4. What is after data analysis .mp4

60.7 MB

4. What is after data analysis .vtt

3.4 KB

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

27.5 MB

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

1.9 KB

6. Your data is your treasure.mp4

17.7 MB

6. Your data is your treasure.vtt

1.3 KB

/6. introduction before descriptive statistics/

1. Slides and material used in this content.html

0.7 KB

2. Our strategy to learn practical statistics.mp4

22.9 MB

2. Our strategy to learn practical statistics.vtt

2.3 KB

3. Four main things in practical statistics.mp4

13.1 MB

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

0.9 KB

2. Simplified viewpoint about descriptive and inferential statistics.mp4

92.9 MB

2. Simplified viewpoint about descriptive and inferential statistics.vtt

6.0 KB

3. Data before and after descriptive statistics.mp4

51.2 MB

3. Data before and after descriptive statistics.vtt

3.2 KB

4. Conclusions between inferential and descriptive statistics.mp4

20.4 MB

4. Conclusions between inferential and descriptive statistics.vtt

1.5 KB

5. Population and sample in inferential statistics.mp4

63.9 MB

5. Population and sample in inferential statistics.vtt

3.4 KB

6. Simplified viewpoint about inferential statistics data.mp4

25.8 MB

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

0.9 KB

2. What will we learn in descriptive statistics .mp4

39.6 MB

2. What will we learn in descriptive statistics .vtt

2.5 KB

3. Statistics between Lie and trustworthy.mp4

14.6 MB

3. Statistics between Lie and trustworthy.vtt

1.0 KB

4. Waitress should be friendly or friendlier .mp4

29.1 MB

4. Waitress should be friendly or friendlier .vtt

2.1 KB

/9. Data types/

1. Slides and material used in this content.html

2.1 KB

2. Introduction about data types.mp4

13.5 MB

2. Introduction about data types.vtt

0.7 KB

3. the benefit of data types.mp4

19.7 MB

3. the benefit of data types.vtt

1.5 KB

4. Categorical data types.mp4

26.2 MB

4. Categorical data types.vtt

2.2 KB

5. Data types ( continuous vs discrete ).mp4

35.7 MB

5. Data types ( continuous vs discrete ).vtt

3.0 KB

6. Difference between numerical and categorical data.mp4

41.7 MB

6. Difference between numerical and categorical data.vtt

2.7 KB

7. Quizzes and examples about data types.mp4

188.1 MB

7. Quizzes and examples about data types.vtt

10.1 KB

8. The summary about data types.mp4

26.6 MB

8. The summary about data types.vtt

1.5 KB

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Total files 136


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