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Statistics & Applied Data Science - Business Data Analysis

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种子名称: Statistics & Applied Data Science - Business Data Analysis
文件类型: 视频
文件数目: 247个文件
文件大小: 6.55 GB
收录时间: 2020-12-20 17:56
已经下载: 3
资源热度: 209
最近下载: 2024-12-8 18:03

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Statistics & Applied Data Science - Business Data Analysis.torrent
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/1. Data analysis videos samples of course contents.mp4193.12MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/3. Data Analysis Methods - Introduction about data analysis and overview.mp441.36MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/4. Is programming for data science easy or hard .mp410.83MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/5. What is the main concept of data analysis .mp411.66MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/6. Machine learning should be after practical statistics.mp413.83MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/7. General overview about what will you learn in data science courses.mp412.3MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/8. Collection about important questions related to data science.mp429.65MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/9. Be patient for interview questions.mp411.96MB
  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/10. People are panic from robot jobs.mp417.55MB
  • Statistics & Applied Data Science - Business Data Analysis/2. Data Analytics - Careers and robot jobs/2. Important questions about Robot jobs and my career.mp424.48MB
  • Statistics & Applied Data Science - Business Data Analysis/2. Data Analytics - Careers and robot jobs/3. High demand for hiring data analysis engineer.mp419.59MB
  • Statistics & Applied Data Science - Business Data Analysis/2. Data Analytics - Careers and robot jobs/4. Example about robot jobs.mp421.27MB
  • Statistics & Applied Data Science - Business Data Analysis/2. Data Analytics - Careers and robot jobs/5. Robot jobs will create new jobs for you because it is a friend.mp422.79MB
  • Statistics & Applied Data Science - Business Data Analysis/2. Data Analytics - Careers and robot jobs/6. It is not easy to hire data science engineer.mp49.05MB
  • Statistics & Applied Data Science - Business Data Analysis/2. Data Analytics - Careers and robot jobs/7. Why do you think that learning programming is Barrier in data analysis .mp47.83MB
  • Statistics & Applied Data Science - Business Data Analysis/3. Applied Data Science - Startup point of programming/2. Collection of important questions related to programming.mp420.32MB
  • Statistics & Applied Data Science - Business Data Analysis/3. Applied Data Science - Startup point of programming/3. Should i learn programming like professional .mp410.45MB
  • Statistics & Applied Data Science - Business Data Analysis/3. Applied Data Science - Startup point of programming/4. Where is my start up point to learn programming .mp456.61MB
  • Statistics & Applied Data Science - Business Data Analysis/3. Applied Data Science - Startup point of programming/5. R language not for software developers.mp48.34MB
  • Statistics & Applied Data Science - Business Data Analysis/3. Applied Data Science - Startup point of programming/6. Programming in data analysis uses simple and easy language.mp47.49MB
  • Statistics & Applied Data Science - Business Data Analysis/3. Applied Data Science - Startup point of programming/7. Review about our questions related to programming.mp449.45MB
  • Statistics & Applied Data Science - Business Data Analysis/3. Applied Data Science - Startup point of programming/8. What is our example in programming .mp44.95MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/1. Important introduction about SQL example.mp437.55MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/2. Run your first SQL command without any previous experience.mp418.13MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/3. Note the difference between SQL and English language.mp46.34MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/4. Python with sample activity.mp428.71MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/5. Review about Python and SQL in data analysis.mp47.85MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/6. What is big data .mp49.03MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/7. Professional answer about what is big data .mp425.67MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/8. What is OVERLOADS in a big data .mp412.32MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/9. Variety in big data.mp430.34MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/10. What is velocity in big data .mp427.62MB
  • Statistics & Applied Data Science - Business Data Analysis/4. Statistics for data analysis - Example about programming and big data/11. Big data is something made overloads.mp421.69MB
  • Statistics & Applied Data Science - Business Data Analysis/5. What is after data analysis/2. Introduction with important questions .mp424.62MB
  • Statistics & Applied Data Science - Business Data Analysis/5. What is after data analysis/3. Difference between data analytics and data science.mp429.87MB
  • Statistics & Applied Data Science - Business Data Analysis/5. What is after data analysis/4. What is after data analysis .mp457.85MB
  • Statistics & Applied Data Science - Business Data Analysis/5. What is after data analysis/5. What is professional people in data analysis care .mp426.24MB
  • Statistics & Applied Data Science - Business Data Analysis/5. What is after data analysis/6. Your data is your treasure.mp416.87MB
  • Statistics & Applied Data Science - Business Data Analysis/6. -------- Part 2 Descriptive statistics --------/2. Our strategy to learn practical statistics.mp421.85MB
  • Statistics & Applied Data Science - Business Data Analysis/6. -------- Part 2 Descriptive statistics --------/3. Four main things in practical statistics.mp412.47MB
  • Statistics & Applied Data Science - Business Data Analysis/7. Comparison between inferential ans descriptive statistics/2. Simplified viewpoint about descriptive and inferential statistics.mp488.57MB
  • Statistics & Applied Data Science - Business Data Analysis/7. Comparison between inferential ans descriptive statistics/3. Data before and after descriptive statistics.mp448.83MB
  • Statistics & Applied Data Science - Business Data Analysis/7. Comparison between inferential ans descriptive statistics/4. Conclusions between inferential and descriptive statistics.mp419.46MB
  • Statistics & Applied Data Science - Business Data Analysis/7. Comparison between inferential ans descriptive statistics/5. Population and sample in inferential statistics.mp460.95MB
  • Statistics & Applied Data Science - Business Data Analysis/7. Comparison between inferential ans descriptive statistics/6. Simplified viewpoint about inferential statistics data.mp424.59MB
  • Statistics & Applied Data Science - Business Data Analysis/8. FAQ about descriptive statistics/2. What will we learn in descriptive statistics .mp437.77MB
  • Statistics & Applied Data Science - Business Data Analysis/8. FAQ about descriptive statistics/3. Statistics between Lie and trustworthy.mp413.92MB
  • Statistics & Applied Data Science - Business Data Analysis/8. FAQ about descriptive statistics/4. Waitress should be friendly or friendlier .mp427.71MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/2. Introduction about data types.mp412.88MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/3. the benefit of data types.mp418.8MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/4. Categorical data types.mp424.99MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/5. Data types ( continuous vs discrete ).mp434.01MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/6. Difference between numerical and categorical data.mp439.72MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/7. Quizzes and examples about data types.mp4179.38MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/8. The summary about data types.mp425.38MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/2. introduction about data center.mp419.44MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/3. Characteristics of numerical data.mp420.05MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/4. Categorical data characteristics considered to be limited.mp411.6MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/5. Example about characteristics of categorical data.mp415.99MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/6. What are measures of center .mp410.2MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/7. Examples of mean.mp441.68MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/8. Examples of median.mp432.65MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/9. Examples of mode.mp444.73MB
  • Statistics & Applied Data Science - Business Data Analysis/10. Center of numerical data/10. I'm confused between mean , median and mode.mp415.79MB
  • Statistics & Applied Data Science - Business Data Analysis/11. Why center of the data is very important/2. introduction about a lot of ways to find center of the data.mp415.48MB
  • Statistics & Applied Data Science - Business Data Analysis/11. Why center of the data is very important/3. Football coach focus on the middle point.mp48.46MB
  • Statistics & Applied Data Science - Business Data Analysis/11. Why center of the data is very important/4. The Fun with football goals to find center of the data.mp497.7MB
  • Statistics & Applied Data Science - Business Data Analysis/11. Why center of the data is very important/5. Why we need mode and median as well as mean .mp420.56MB
  • Statistics & Applied Data Science - Business Data Analysis/11. Why center of the data is very important/6. Final review about central tendency.mp412.03MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/2. Concepts and data dispersion and spread.mp418.15MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/3. Measures of spread.mp416.14MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/4. What is range .mp410.44MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/5. What is interquartile range .mp432.33MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/6. What is 5 number summary .mp419.2MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/7. Example about 5 number summary.mp4109.36MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/8. 5 number summary with range and interquartile range.mp433.56MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/9. Remember why we need 5 number summary .mp44.62MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/10. Box plot with 5 number summary.mp410.72MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/1. Concepts about standard deviation , range and 5 number summary.mp417.22MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/2. The idea about how to represent your data .mp426.9MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/3. Example about using graphs with 5 number summary.mp411.53MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/4. Benefits of using box plot with histogram.mp454.67MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/5. What is standard deviation .mp413.02MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/6. Example about standard deviation.mp467.18MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/7. Direct methods to calculate standard deviation.mp416.64MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/8. Physical meaning of standard deviation.mp431.78MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/9. a tricky question about standard deviation.mp4113.47MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/10. Example about center of data and standard deviation.mp434.07MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/11. Standard deviation with financial analysis.mp416.52MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/12. Choose between standard deviation and range to measure data spread.mp442.38MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/2. Introduction about data shape.mp415.76MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/3. Fast review about what we learned about data aspects.mp453.8MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/4. Important questions related to data shape.mp410.9MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/5. Symmetric versus skewed distribution.mp426.03MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/6. Example about symmetric distribution.mp435.71MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/7. What is Gaussian and bell curve distribution .mp421.31MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/8. Why normal distribution .mp434.53MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/9. Normal versus standard normal distribution.mp428.64MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/10. Left and right skewed distribution.mp417.13MB
  • Statistics & Applied Data Science - Business Data Analysis/14. Data shape/11. Remember what we studied about data shape.mp432.19MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/2. Introduction about outlier.mp421.57MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/3. Fast review about what we learned.mp442.59MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/4. What do we mean by outlier .mp432.43MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/5. What is our rule of thump to find outlier .mp431.86MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/6. Examples to find outlier.mp498.21MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/7. What can i do with outlier .mp412.94MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/8. What can i do if i removed outlier .mp47.03MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/9. What professional people do with outlier .mp418.08MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/2. Introduction about normal distribution.mp412.82MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/3. Four main things in data analysis.mp413.31MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/4. Simplified viewpoint about normal distribution.mp463.12MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/5. Why normal distribution called Gaussian or bell curve distribution .mp418.25MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/6. Why normal distribution is symmetric distribution .mp412.12MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/7. Difference between normal distribution and standard normal distribution.mp437.06MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/8. What is the benefit of Z table .mp484.73MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/9. There is an issue if you do not have standard normal distribution.mp418.89MB
  • Statistics & Applied Data Science - Business Data Analysis/17. Normal distribution lesson 2/1. Why we need to convert normal distribution to standard normal distribution .mp453.03MB
  • Statistics & Applied Data Science - Business Data Analysis/17. Normal distribution lesson 2/2. Examples about convert normal to standard normal.mp4123.63MB
  • Statistics & Applied Data Science - Business Data Analysis/17. Normal distribution lesson 2/3. FAQ related to normal distribution.mp416.87MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/2. Introduction about sampling distribution.mp417.72MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/3. The difference between population parameters and sample statistics.mp453.53MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/4. Why we need sample statistics .mp410.44MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/5. Find the mean length of all fishes in the sea.mp424.45MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/6. Solution one Mr. Genie will help you find the length of all fishes.mp48.49MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/7. Why we need Mr. Genie .mp418.85MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/8. What is our final distribution we get it from Mr. Genie .mp44.82MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/9. Mr. Genie has power to offer TRUE population parameters ( not estimation ).mp48.2MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/10. Solution two sampling distribution instead of Mr. Genie.mp410.95MB
  • Statistics & Applied Data Science - Business Data Analysis/18. -------- Part 3 Inferential statistics -------/11. The idea of sampling distribution.mp412.69MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/2. Introduction about what will we learn.mp411.9MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/3. Overview about sampling distribution simulation tool parts.mp411.14MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/4. What is our final goal from this simulation tool .mp46.61MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/5. How to take a sample for all fishes in the sea .mp410.97MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/6. Let's start working with simulation tool.mp473.76MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/7. Comparison between population parameters and sampling distribution.mp424.48MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/8. The idea of central limit theorem.mp435.28MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/9. Summary about population parameters and sampling distribution estimators.mp410.68MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/10. Example Help fisher man to catch Tuna fishes with length over 1 meter.mp448.71MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/11. How to find sampling mean in our example .mp421.04MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/2. Introduction about the importance of confidence interval.mp417.73MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/3. What do we mean by confidence .mp420.69MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/4. Collection of important questions related to Confidence interval.mp47.2MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/5. Simplified viewpoint about confidence interval and confidence level.mp433.19MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/6. Difference between 99 and 95 confidence level.mp426.45MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/7. Important definitions about confidence interval in simulation tool.mp47.5MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/8. What is sample error .mp423.39MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/9. Start simulation of 95 confidence interval.mp469.4MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/10. What is success rate .mp45.85MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/11. What is failures .mp451.3MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/12. What is the difference between confidence level and success rate .mp49.16MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/13. What happens if we changed confidence level from 95 to 99 .mp426.06MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/14. Important tips and questions in this lesson.mp43.45MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/2. Introduction about using confidence interval in real life scenarios.mp419.99MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/3. Make a decision based on High width or low width confidence interval.mp431.57MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/4. Trade-off between useless information and high risk in confidence interval.mp422.51MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/5. What effects the width of confidence interval .mp419.12MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/6. Effect of standard deviation on confidence interval.mp422.41MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/7. Relationship between standard error and margin of error in confidence interval.mp4178.13MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/8. Quick Review about what we learned in confidence interval.mp486.35MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/9. What do we mean by we are lucky or not lucky .mp416.37MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/10. Review about our answers in confidence interval.mp413.54MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/2. Introduction.mp416.12MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/3. Collection of important questions about t distribution.mp47.92MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/4. The history and the founder of student's t distribution.mp414.03MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/4.1 video22_file-2.mp4.mp42.05MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/5. Why did we call t distribution by student .mp414.02MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/6. What did Mr. William tell us about his findings .mp416.3MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/7. Comparison between t distribution and normal distribution.mp423.58MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/8. degree of freedom with t distribution.mp45.27MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/9. What do we mean by degree of freedom .mp454.7MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/10. The benefit of degree of freedom with t distribution.mp413.09MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/11. What do you think if DF 30 .mp48MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/12. t score and t table.mp4109.1MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/13. Do not use t distribution for higher values of degree of freedom.mp412.97MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/14. Calculate t value directly using t calculator.mp46.09MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/15. Remember when to use t or z distribution .mp49.26MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/16. Summary about confidence interval with t and z distribution.mp46.15MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/2. Example 1 Margin of error with confidence interval 99%.mp412.4MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/3. Repeat the same example with CL = 95%.mp4103.96MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/4. What is the lower limit point of CL = 90% .mp469.77MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/5. Repeat the same example with sample standard deviation.mp429.96MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/6. Final results with t calculator.mp425.39MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/7. Premier league football scorers with confidence interval.mp423.82MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/8. Final results with t calculator.mp417.94MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/9. Two important equations for Z and T distributions.mp411.1MB
  • Statistics & Applied Data Science - Business Data Analysis/24. Use Excel to calculate confidence interval/2. Introduction about using Excel to find confidence interval.mp410.77MB
  • Statistics & Applied Data Science - Business Data Analysis/24. Use Excel to calculate confidence interval/3. Step 1 Make sure that Data analysis tool pack is installed in your Excel.mp415.46MB
  • Statistics & Applied Data Science - Business Data Analysis/24. Use Excel to calculate confidence interval/4. Get all your results about confidence interval from one click only.mp418.29MB
  • Statistics & Applied Data Science - Business Data Analysis/24. Use Excel to calculate confidence interval/5. Comparison between manual method results and excel sheet results.mp420.08MB
  • Statistics & Applied Data Science - Business Data Analysis/24. Use Excel to calculate confidence interval/6. The end of Confidence interval and what is next .mp46.73MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/2. Introduction about hypothesis testing.mp419.07MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/3. Principles in hypothesis testing like H0 , H1 and P value.mp419.54MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/4. P value is the most important thing we should focus on it.mp45.4MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/5. Mini story part 1 to understand what is P value .mp411MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/6. Complaint against Cola factory owner.mp410.28MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/7. analysis with H0 and H1 about Cola drink to see if the complaint is a fake.mp48.76MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/8. Understand how to find H0 and H1 from Cola drinks.mp416.54MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/9. on what basis Ibrahim will be innocent or guilty .mp46.54MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/10. What happened to Ibrahim in the court .mp45.19MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/11. Ibrahim asked his sister Sarah to help him.mp46.88MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/12. What is Sarah's idea to save her brother Ibrahim .mp411.7MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/13. First results from Sarah about water percentage in Excel sheet.mp410.12MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/14. First trial from Sarah is not valid because we need strong evidence.mp42.69MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/15. Another trial from Sarah using P value to get evidence.mp419.72MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/16. Alpha and type one error.mp431.5MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/17. Comparing between Alpha and P value.mp411.28MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/18. Why Sarah is happy if P value greater than Alpha .mp421.94MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/19. P value with weak and strong evidence ..mp438.96MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/20. After Sarah is happy , remember what is P value .mp47.05MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/21. Sarah asked her brother about profit share from Cola sales.mp46.99MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/22. Questions about what we learned from mini story part 1 .mp462.77MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/2. Introduction and steps to calculate P value.mp422.78MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/3. Step 1 Find H0 and H1.mp421.53MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/4. Step 2 Find Sample Size , SD and mean of sample.mp413.18MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/5. Fast review about how to get sample mean and SD from Excel file.mp423.14MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/6. Step 3 Find Degree of freedom.mp45.87MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/7. Step 4 Choose between t or z distribution.mp47.56MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/8. Step 5 Calculate t or Z value.mp420.23MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/9. Step 6 find P value from t calculator or t table.mp414.77MB
  • Statistics & Applied Data Science - Business Data Analysis/26. Calculate P value manual method/10. Step 7 Make a decision.mp446.03MB
  • Statistics & Applied Data Science - Business Data Analysis/27. Use Excel to calculate P value/2. Prepare your excel sheet with sample results.mp433.97MB
  • Statistics & Applied Data Science - Business Data Analysis/27. Use Excel to calculate P value/3. Write your P value equation in Excel file.mp450.36MB
  • Statistics & Applied Data Science - Business Data Analysis/27. Use Excel to calculate P value/4. Make a decision by comparing Alpha and P value.mp425.58MB
  • Statistics & Applied Data Science - Business Data Analysis/27. Use Excel to calculate P value/5. Question about one and two tail.mp47.51MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/2. For the second time Ibrahim asked his sister Sarah to help him.mp413.37MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/3. One tail versus two tail test.mp445.69MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/4. The summary about one tail and two tail test.mp434MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/5. Starting Mini story part 2.mp46.45MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/6. Ibrahim i seeking about increase Cola sales in winter.mp44.6MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/7. Sarah was surprised when Ibrahim asked her to increase sales in winter.mp44.06MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/8. Sarah told her brother about offer free coupons for Cola drinks.mp45.23MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/9. Sarah is using two samples mean t test to prove idea of free cola coupons.mp410.22MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/10. Important things we should understand it when calculate P value in Excel.mp46.83MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/11. What is null hypothesis for two samples mean t test .mp410.71MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/12. What is alternative hypothesis .mp48.97MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/13. Use Excel file with two samples mean t test.mp463.63MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/14. P value from t calculator versus P value from Excel.mp412.26MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/15. Ibrahim does not understand final results from Excel file.mp42.75MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/16. Examples about what we learned in hypothesis testing ..mp454.56MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/17. Simple practice about t distribution table with different confidence level.mp445.51MB
  • Statistics & Applied Data Science - Business Data Analysis/29. Understanding two tail test results in Excel/2. Explain all results from Excel file about two samples mean t test.mp454.34MB
  • Statistics & Applied Data Science - Business Data Analysis/29. Understanding two tail test results in Excel/3. Important graph to tell us about our evidence strength.mp424.32MB
  • Statistics & Applied Data Science - Business Data Analysis/29. Understanding two tail test results in Excel/4. Ibrahim is happy now after he his sister explained excel file results.mp41.91MB
  • Statistics & Applied Data Science - Business Data Analysis/29. Understanding two tail test results in Excel/5. Ibrahim give Sarah some money to avoid disputes with her.mp49.09MB
  • Statistics & Applied Data Science - Business Data Analysis/30. Let's celebrate after practical and statistical significance/2. Choose between practical significance or statistical significance .mp417.78MB
  • Statistics & Applied Data Science - Business Data Analysis/30. Let's celebrate after practical and statistical significance/3. Statistics is a liar or trustworthy .mp461.19MB
  • Statistics & Applied Data Science - Business Data Analysis/30. Let's celebrate after practical and statistical significance/4. I will make you love statistics.mp428.32MB