دوره جامع زبان برنامه نویسی R (مقدماتی و پیشرفته) |
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درس |
موضوع درس |
فایل pdf |
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1 |
R → Overview |
درس 1 |
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2 |
R → Environment Setup |
درس 2 |
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3 |
R → Basic Syntax |
درس 3 |
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4 |
R → Data Types |
درس 4 |
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5 |
R → Variables |
درس 5 |
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6 |
R → Operators |
درس 6 |
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7 |
R → Decision Making |
درس 7 |
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8 |
R → Loops |
درس 8 |
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9 |
R → Functions |
درس 9 |
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10 |
R → Strings |
درس 10 |
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11 |
R → Vectors |
درس 11 |
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12 |
R → Lists |
درس 12 |
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13 |
R → Matrices |
درس 13 |
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14 |
R → Arrays |
درس 14 |
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15 |
R → Factors |
درس 15 |
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16 |
R → Data Frames |
درس 16 |
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17 |
R → Packages |
درس 17 |
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18 |
R → Data Reshaping |
درس 18 |
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19 |
R Data Interfaces: CSV Files |
درس 19 |
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20 |
R Data Interfaces: Excel Files |
درس 20 |
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21 |
R Data Interfaces: Binary Files |
درس 21 |
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22 |
R Data Interfaces: XML Files |
درس 22 |
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23 |
R Data Interfaces: JSON Files |
درس 23 |
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24 |
R Data Interfaces: Web Data |
درس 24 |
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25 |
R Data Interfaces: Database |
درس 25 |
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26 |
R Charts & Graphs: Pie Charts |
درس 26 |
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27 |
R Charts & Graphs: Bar Charts |
درس 27 |
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28 |
R Charts & Graphs: Boxplots |
درس 28 |
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29 |
R Charts & Graphs: Histograms |
درس 29 |
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30 |
R Charts & Graphs: Line Graphs |
درس 30 |
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31 |
R Charts & Graphs: Scatterplots |
درس 31 |
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32 |
R Statistics Examples: Mean, Median & Mode |
درس 32 |
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33 |
R Statistics Examples: Linear Regression |
درس 33 |
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34 |
R Statistics Examples: Multiple Regression |
درس 34 |
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35 |
R Statistics Examples: Logistic Regression |
درس 35 |
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36 |
R Statistics Examples: Normal Distribution |
درس 36 |
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37 |
R Statistics Examples: Binomial Distribution |
درس 37 |
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38 |
R Statistics Examples: Poisson Regression |
درس 38 |
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39 |
R Statistics Examples: Analysis of Covariance |
درس 39 |
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40 |
R Statistics Examples: Time Series Analysis |
درس 40 |
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41 |
R Statistics Examples: Nonlinear Least Square |
درس 41 |
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42 |
R Statistics Examples: Decision Tree |
درس 42 |
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43 |
R Statistics Examples: Random Forest |
درس 43 |
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44 |
R Statistics Examples: Survival Analysis |
درس 44 |
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45 |
R Statistics Examples: Chi Square Tests |
درس 45 |
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زمان تخمینی مورد نیاز برای این دوره: 25 ساعت |