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    Grey
    PRICE: 200

    Datascience with R Language.

    COURSE DESCRIPTION

    Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge

    SECTION-1:Data Science with R
    1. 01. Data Science Demo With R and Python 1
    2. 02. Introduction and Installation of R 1
    3. 03. Installation of R Studio and Data Types 1
    4. 04. Vectors 1
    5. 05. Matrix 1
    6. 06. Factors 1
    7. 07. DataFrame 1
    8. 08. Data Fram Part 2 and List Part 1 1
    9. 09. List Part 2 1
    10. 10. Read Data From Files Part 1 1
    11. 11. Read Data From Files Part 2 1
    12. 12. Read Data from oracle database Part 1 1
    13. 13. Read Data from oracle database Part 2 1
    14. 14. Writeing data to text files and if else condit 1
    15. 15. Loops 1
    16. 16. Functions 1
    17. 17. Packages amd Apply Functions Part 1 1
    18. 18. Apply Functions Part 2 1
    19. 19. Base Graphs 1
    SECTION-2:Advanced Level Of R Langage
    1. 20. Base Graphs Part 2 1
    2. 21. Base Graphs Part 3 1
    3. 22. Base Graphs Part 4 1
    4. 23. Base Graphs Part 5 1
    5. 24. ggplot2 Graphs Part 1 1
    6. 25. ggplot2 Graphs Part 2 1
    7. 26. Cleaning Data Part 1 1
    8. 27. Cleaning Data Part 2 1
    9. 28. Cleaning Data Part 3 1
    10. 29. Machine Learning Introduction 1
    11. 30. Machine Learning Linear Regression Part 2 1
    12. 31. Machine Learning Logestic Regression 1
    13. 32. Machine Learning poisson and quasipoission reg 1
    14. 33. Machine Learning Unsupervised Learning Intro 1
    15. 34. Machine Learning Kmeans Clustering 1
    16. 35. Machine Learning hierarchical clustering 1
    Ram Reddy Data scientist
    Data scientist and founder of RRITEC, a company dedicated to helping scientists better understand and visualize their data. Ram Has hands-on exposure