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Data Science Demo 1
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About Faculty 04 minLecture1.1
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What is Data Science 11 minLecture1.2
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Who is data scientist 06 minLecture1.3
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who can learn this course 11 minLecture1.4
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Data Science Process Quick Tour 27 minLecture1.5
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Data Science Quiz 4 questionsQuiz1.1
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Introduction of R 5
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Introduction of R 17 minLecture2.1
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Installation of R and R Studio IDE 25 minLecture2.2
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About R Studio 02 minLecture2.3
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About Working Directory 14 minLecture2.4
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Quiz on Introduction 0 questionQuiz2.1
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Data Types 1
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Data Types 44 minLecture3.1
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Quiz on Data Types 0 questionQuiz3.1
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R language with machine learning 32
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01. Data Science Demo With R and Python 01 hour 30 minLecture4.1
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02. Introduction and Installation of R 01 hourLecture4.2
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03. Installation of R Studio and Data Types 01 hourLecture4.3
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04. Vectors 48 minLecture4.4
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05. Matrix 01 hourLecture4.5
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06. Factors 58 minLecture4.6
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07. DataFrame 01 hour 10 minLecture4.7
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08. Data Fram Part 2 and List Part 1 01 hourLecture4.8
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09. List Part 2 20 minLecture4.9
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10. Read Data From Files Part 1 38 minLecture4.10
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11. Read Data From Files Part 2 01 hour 20 minLecture4.11
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12. Read Data from oracle database Part 1 01 hourLecture4.12
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13. Read Data from oracle database Part 2 50 minLecture4.13
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14. Writeing data to text files and if else conditions 01 hourLecture4.14
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15. Loops 30 minLecture4.15
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16. Functions 40 minLecture4.16
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17. Packages amd Apply Functions Part 1 01 hourLecture4.17
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18. Apply Functions Part 2 01 hourLecture4.18
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19. Base Graphs Part 1 01 hourLecture4.19
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20. Base Graphs Part 2 01 hour 04 minLecture4.20
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21. Base Graphs Part 3 01 hour 05 minLecture4.21
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22. Base Graphs Part 4 01 hour 20 minLecture4.22
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23. Base Graphs Part 5 01 hourLecture4.23
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24. ggplot2 Graphs Part 1 01 hour 10 minLecture4.24
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25. ggplot2 Graphs Part 2 50 minLecture4.25
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26. Cleaning Data Part 1 01 hour 10 minLecture4.26
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27. Cleaning Data Part 2 40 minLecture4.27
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28. Cleaning Data Part 3 01 hourLecture4.28
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29. Machine Learning Introduction 01 hourLecture4.29
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30. Machine Learning Linear Regression Part 2 01 hourLecture4.30
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30. Machine Learning Linear Regression 30 minLecture4.31
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31. Machine Learning Logestic Regression 01 hourLecture4.32
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32. Machine Learning poisson and quasipoission regression 35 minLecture4.33
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33. Machine Learning Unsupervised Learning Intro 30 minLecture4.34
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34. Machine Learning Kmeans Clustering 30 minLecture4.35
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35. Machine Learning hierarchical clustering 30 minLecture4.36
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Data Types