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Data Science and Machine Learning with R Masterclass

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28:14:08

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  • 01-data science and ml with r course overview.mp4
    04:33
  • 02-what is data science.mp4
    09:47
  • 03-machine learning overview.mp4
    05:26
  • 04-data science and machine learning marketplace.mp4
    04:38
  • 05-dsand ml job opportunities .mp4
    02:37
  • 06-data science job roles.mp4
    04:04
  • 07-getting started with r.mp4
    10:58
  • 08-r basics.mp4
    06:24
  • 09-r files.mp4
    11:08
  • 10-r tidyverse.mp4
    05:19
  • 11-r studio.mp4
    06:58
  • 12-r resources.mp4
    04:02
  • 13-data types and structures section intro.mp4
    30:03
  • 14-basic types.mp4
    08:46
  • 15-vectors part one.mp4
    19:40
  • 16-vectors part two.mp4
    24:51
  • 17-vectors missing values.mp4
    15:35
  • 18-vectors coercion.mp4
    14:07
  • 19-vectors naming.mp4
    10:16
  • 20-vectors misc..mp4
    05:59
  • 21-creating matrices.mp4
    31:27
  • 22-working with lists.mp4
    31:41
  • 23-introduction to data frames.mp4
    19:20
  • 24-creating data frames.mp4
    19:50
  • 25-data frames helper functions.mp4
    31:12
  • 26-data frames-tibbles.mp4
    39:03
  • 27-intermediate r section intro.mp4
    46:31
  • 28-relational operators.mp4
    11:06
  • 29-logical operators.mp4
    07:04
  • 30-conditional statements.mp4
    11:20
  • 31-loops.mp4
    07:56
  • 32-functions.mp4
    14:19
  • 33-packages.mp4
    11:29
  • 34-factors.mp4
    28:14
  • 35-dates and times.mp4
    30:10
  • 36-functional programming.mp4
    36:41
  • 37-data importexport.mp4
    22:06
  • 38-databases.mp4
    27:08
  • 39-data manipulation in r section intro.mp4
    36:29
  • 40-tidy data.mp4
    10:53
  • 41-the pipe operator.mp4
    14:50
  • 42-the filter verb.mp4
    21:34
  • 43-the select verb.mp4
    46:03
  • 44-the mutate verb.mp4
    31:57
  • 45-the arrange verb.mp4
    10:03
  • 46-the summarize verb.mp4
    23:05
  • 47-data pivoting.mp4
    42:41
  • 48-string manipulation.mp4
    32:38
  • 49-web scraping.mp4
    58:53
  • 50-json parsing.mp4
    10:46
  • 51-data visualization in r intro.mp4
    17:13
  • 52-aesthetics mappings.mp4
    24:45
  • 53-single variable plots.mp4
    36:50
  • 54-two-variable plots.mp4
    20:34
  • 55-facets layering and coordinate systems.mp4
    17:56
  • 56-styling and saving.mp4
    11:33
  • 57-intro to r markdown.mp4
    28:54
  • 58-intro to r shiny.mp4
    26:05
  • 59-a basic webapp.mp4
    31:18
  • 60-other webapp examples.mp4
    34:05
  • 61-intro to machine learning part 1.mp4
    21:48
  • 62-intro to machine learning part 2.mp4
    46:45
  • 63-data preprocessing intro.mp4
    27:03
  • 64-data preprocessing.mp4
    37:47
  • 65-linear regression a simple model intro.mp4
    25:09
  • 66-linear regression a simple model.mp4
    53:05
  • 67-exploratory data analysis intro.mp4
    25:03
  • 68-hands-on exploratory data analysis.mp4
    01:02:57
  • 69-linear regression a real model intro.mp4
    32:04
  • 70-linear regression a real model.mp4
    52:48
  • 71-logistic regression intro.mp4
    37:48
  • 72-logistic regression in r.mp4
    39:37
  • 73-starting a data science career.mp4
    02:54
  • 74-creating a data science resume.mp4
    03:43
  • 75-getting started with freelancing.mp4
    04:44
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    Skillshare is an online learning community based in the United States for people who want to learn from educational videos. The courses, which are not accredited, are only available through paid subscription.
    • language english
    • Training sessions 75
    • duration 28:14:08
    • Release Date 2024/03/06