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[UdemyCourseDownloader] The Data Science Course 2019 Complete Data Science Bootcamp

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11.3 GB
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98
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Description
Description

The Problem



Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.



However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.



And how can you do that?

File list
  • [UdemyCourseDownloader] The Data Science Course 2019 Complete Data Science Bootcamp
  • 01. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.mp4 49 MB
  • 01. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.vtt 5.6 KB
  • 01. Part 1 Introduction/2. What Does the Course Cover.mp4 62.3 MB
  • 01. Part 1 Introduction/2. What Does the Course Cover.vtt 4.5 KB
  • 01. Part 1 Introduction/3. Download All Resources and Important FAQ.html 20.8 KB
  • 01. Part 1 Introduction/3.1 Download All Resources.html 134 B
  • 01. Part 1 Introduction/3.1 FAQ_The_Data_Science_Course.pdf.pdf 306.1 KB
  • 01. Part 1 Introduction/3.2 Download All Resources.html 134 B
  • 01. Part 1 Introduction/3.2 FAQ_The_Data_Science_Course.pdf.pdf 306.1 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.mp4 81.4 MB
  • 02. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.vtt 5.8 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/10. A Breakdown of our Data Science Infographic.html 161 B
  • 02. The Field of Data Science - The Various Data Science Disciplines/2. Data Science and Business Buzzwords Why are there so many.html 161 B
  • 02. The Field of Data Science - The Various Data Science Disciplines/3. What is the difference between Analysis and Analytics.mp4 53.6 MB
  • 02. The Field of Data Science - The Various Data Science Disciplines/3. What is the difference between Analysis and Analytics.vtt 4.4 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/4. What is the difference between Analysis and Analytics.html 161 B
  • 02. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4 64.5 MB
  • 02. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.vtt 9.3 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/5.1 365_DataScience_Diagram.pdf.pdf 323.1 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/6. Business Analytics, Data Analytics, and Data Science An Introduction.html 161 B
  • 02. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 109 MB
  • 02. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.vtt 10.4 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/7.1 365_DataScience.png.png 6.9 MB
  • 02. The Field of Data Science - The Various Data Science Disciplines/7.2 365_DataScience_Diagram.pdf.pdf 323.1 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/8. Continuing with BI, ML, and AI.html 161 B
  • 02. The Field of Data Science - The Various Data Science Disciplines/9. A Breakdown of our Data Science Infographic.mp4 67.7 MB
  • 02. The Field of Data Science - The Various Data Science Disciplines/9. A Breakdown of our Data Science Infographic.vtt 4.4 KB
  • 02. The Field of Data Science - The Various Data Science Disciplines/9.1 365_DataScience.png.png 6.9 MB
  • 03. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 126.9 MB
  • 03. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.vtt 7.9 KB
  • 03. The Field of Data Science - Connecting the Data Science Disciplines/2. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.html 161 B
  • 04. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4 81.2 MB
  • 04. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.vtt 5.7 KB
  • 04. The Field of Data Science - The Benefits of Each Discipline/2. The Reason behind these Disciplines.html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 138.3 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.vtt 9.3 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 123.5 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.vtt 9.7 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/11. Techniques for Working with Traditional Methods.html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/12. Real Life Examples of Traditional Methods.mp4 42.8 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/12. Real Life Examples of Traditional Methods.vtt 3.1 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 99.3 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.vtt 7.7 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/14. Machine Learning (ML) Techniques.html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 125.2 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.vtt 9.2 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/16. Types of Machine Learning.html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/17. Real Life Examples of Machine Learning (ML).mp4 36.8 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/17. Real Life Examples of Machine Learning (ML).vtt 2.6 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/18. Real Life Examples of Machine Learning (ML).html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/2. Techniques for Working with Traditional Data.html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/3. Real Life Examples of Traditional Data.mp4 29.9 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/3. Real Life Examples of Traditional Data.vtt 2 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.mp4 75.5 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.vtt 5 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/5. Techniques for Working with Big Data.html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/6. Real Life Examples of Big Data.mp4 22 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/6. Real Life Examples of Big Data.vtt 1.6 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 89.9 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.vtt 7.6 KB
  • 05. The Field of Data Science - Popular Data Science Techniques/8. Business Intelligence (BI) Techniques.html 161 B
  • 05. The Field of Data Science - Popular Data Science Techniques/9. Real Life Examples of Business Intelligence (BI).mp4 29.5 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/9. Real Life Examples of Business Intelligence (BI).vtt 1.9 KB
  • 06. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 103.5 MB
  • 06. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.vtt 6.4 KB
  • 06. The Field of Data Science - Popular Data Science Tools/2. Necessary Programming Languages and Software Used in Data Science.html 161 B
  • 07. The Field of Data Science - Careers in Data Science/1. Finding the Job - What to Expect and What to Look for.mp4 54.4 MB
  • 07. The Field of Data Science - Careers in Data Science/1. Finding the Job - What to Expect and What to Look for.vtt 3.9 KB
  • 07. The Field of Data Science - Careers in Data Science/2. Finding the Job - What to Expect and What to Look for.html 161 B
  • 08. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4 72.8 MB
  • 08. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.vtt 4.7 KB
  • 08. The Field of Data Science - Debunking Common Misconceptions/2. Debunking Common Misconceptions.html 161 B
  • 09. Part 2 Statistics/1. Population and Sample.mp4 58.1 MB
  • 09. Part 2 Statistics/1. Population and Sample.vtt 4.8 KB
  • 09. Part 2 Statistics/1.1 Statistics Glossary.xlsx.xlsx 20.3 KB
  • 09. Part 2 Statistics/1.2 Course notes_descriptive_statistics.pdf.pdf 482.2 KB
  • 09. Part 2 Statistics/2. Population and Sample.html 161 B
  • 10. Statistics - Descriptive Statistics/1. Types of Data.mp4 72.5 MB
  • 10. Statistics - Descriptive Statistics/1. Types of Data.vtt 5.2 KB
  • 10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf 482.2 KB
  • 10. Statistics - Descriptive Statistics/10. Numerical Variables Exercise.html 81 B
  • 10. Statistics - Descriptive Statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx 11.7 KB
  • 10. Statistics - Descriptive Statistics/2. Types of Data.html 161 B
  • 10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4 54.4 MB
  • 10. Statistics - Descriptive Statistics/3. Levels of Measurement.vtt 4 KB
  • 10. Statistics - Descriptive Statistics/4. Levels of Measurement.html 161 B
  • 10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4 38.5 MB
  • 10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.vtt 5.7 KB
  • 10. Statistics - Descriptive Statistics/5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx 30.8 KB
  • 10. Statistics - Descriptive Statistics/6. Categorical Variables - Visualization Techniques.html 161 B
  • 10. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html 81 B
  • 10. Statistics - Descriptive Statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx 41.1 KB
  • 10. Statistics - Descriptive Statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx 15.2 KB
  • 10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4 25.9 MB
  • 10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.vtt 3.8 KB
  • 10. Statistics - Descriptive Statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx 11.4 KB
  • 10. Statistics - Descriptive Statistics/9. Numerical Variables - Frequency Distribution Table.html 161 B
  • 11. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 160.5 MB

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