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| 08_07_CFA.R | 1.9 KB | ||
| 09_01_Proportions.R | 2.5 KB | ||
| 09_02_OneSamplet.R | 1.8 KB | ||
| 09_03_PairedSamplest.R | 3 KB | ||
| 09_04_IndependentSamplest.R | 2.7 KB | ||
| 09_05_OneFactorANOVA.R | 3.1 KB | ||
| 09_06_FactorialANOVA.R | 2.2 KB | ||
| 10_01_LinearRegression.R | 3.2 KB | ||
| 10_02_LassoRegression.R | 3 KB | ||
| 10_03_QuantileRegression.R | 2.5 KB | ||
| 10_04_LogisticRegression.R | 3.8 KB | ||
| 10_05_PoissonRegression.R | 1.9 KB | ||
| 10_06_BlockedEntry.R | 2.9 KB | ||
| 11_01_HierarchicalClustering.R | 3.1 KB | ||
| 11_02_kMeansClustering.R | 2.8 KB | ||
| 11_03_kNN.R | 2.9 KB | ||
| 11_04_DecisionTrees.R | 2.7 KB | ||
| 11_05_RandomForests.R | 3.4 KB | ||
| ????-Request-a-Course-????.txt | 307.2 B | ||
| Complete-Guide-to-R-README.txt | 1 KB | ||
| Complete-Guide-to-R.Rproj | 204.8 B | ||
| MobileDataSource.txt | 102.4 B | ||
| MobileOS_US.csv | 10.9 KB | ||
| MobileOS_US.xlsx | 21.2 KB | ||
| ScaleData.xlsx | 2.4 MB | ||
| StateData-Code-Book.txt | 3.8 KB | ||
| StateData.csv | 7.2 KB | ||
| StateData.rdata | 2.6 KB | ||
| StateData.rds | 307.2 B | ||
| StateData.xlsx | 18.7 KB | ||
| StateData2.rds | 1.1 KB | ||
| XMLdata.xml | 286.3 KB | ||
| b5-and-big5-Code-Book.txt | 4.4 KB | ||
| b5.csv | 1.8 MB | ||
| b5_df.csv | 584.9 KB | ||
| b5_df.rds | 135.9 KB | ||
| b5_df_jamovi.omv | 4.1 MB | ||
| barchart.pdf | 4.4 KB | ||
| barchart.png | 62.1 KB | ||
| big5.csv | 2.2 MB | ||
| winequality-red.csv | 83.7 KB | ||
| ▲ 282 total files | |||
???? Request a Course: ???? docs.google.com/forms
???? Official Course URL: linkedin.com/learning/complete-guide-to-r-wrangling-visualizing-and-modeling-data
???? Course Overview:
Dive into the advanced functionalities of R with Complete Guide to R: Wrangling, Visualizing, and Modeling Data . This course, led by data analytics expert Barton Poulson, provides a deep dive into the crucial techniques of data wrangling, visualization, and modeling with R. Ideal for intermediate learners looking to enhance their skills, the course offers hands-on examples and detailed instruction.
???? What You'll Learn:
- Data Wrangling: Master the import, cleansing, and conversion of data for detailed analysis.
- Data Visualization: Create impactful visualizations like bar charts, histograms, and scatterplots.
- Data Transformation: Efficiently handle categorical, qualitative, and outlier data to meet research needs.
- Modeling Techniques: Develop and apply statistical models to interpret complex datasets.
???? Course Benefits:
- Expert Instruction: Learn from Barton Poulson, a seasoned expert in data analytics.
- Comprehensive Content: Gain thorough insights with 70 detailed lessons.
- Practical Experience: Engage in exercises that reinforce data manipulation and analysis skills.
- Resource Access: Utilize R and RStudio to their fullest potential with guided navigation and examples.
⏱️ Total Hours of Course: 8 hours 15 minutes
????️ Course Size: 854.3 MB
???? Subtitles: English, Persian
Who is this course for?
Ideal for those with a foundational knowledge of R programming, looking to advance in data wrangling, visualization, and modeling to enhance their analytical skills in various research or industry applications.
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