| 1. Facilitating Collaborative Decision Making.mp4 | 24.2 MB | ||
| 1. Facilitating Collaborative Decision Making.srt | 4.3 KB | ||
| 1. Getting Started with R and R Studio.mp4 | 32 MB | ||
| 1. Getting Started with R and R Studio.srt | 7.5 KB | ||
| 1. Honing your instincts.mp4 | 22.7 MB | ||
| 1. Honing your instincts.srt | 4.3 KB | ||
| 1. Introduction to Cohort Analysis.mp4 | 28.2 MB | ||
| 1. Introduction to Cohort Analysis.srt | 5.9 KB | ||
| 1. Introduction to Customer Segmentation.mp4 | 21.3 MB | ||
| 1. Introduction to Customer Segmentation.srt | 3.9 KB | ||
| 1. Introduction to Data Preparation Using Tidyverse.mp4 | 31.4 MB | ||
| 1. Introduction to Data Preparation Using Tidyverse.srt | 6.4 KB | ||
| 1. Introduction to Grammar of Graphics.mp4 | 28.2 MB | ||
| 1. Introduction to Grammar of Graphics.srt | 5.3 KB | ||
| 1. Introduction to Outlier Analysis.mp4 | 17.9 MB | ||
| 1. Introduction to Outlier Analysis.srt | 3.2 KB | ||
| 1. Introduction to R Notebooks.mp4 | 30.2 MB | ||
| 1. Introduction to R Notebooks.srt | 6 KB | ||
| 1. Welcome to the Course.mp4 | 105.4 MB | ||
| 1. Welcome to the Course.srt | 7.8 KB | ||
| 2. Basic Text Formatting.mp4 | 41.4 MB | ||
| 2. Basic Text Formatting.srt | 4.5 KB | ||
| 2. Creating Business Indicators.mp4 | 86.8 MB | ||
| 2. Creating Business Indicators.srt | 10.8 KB | ||
| 2. Generating a Cohort Table.mp4 | 100.4 MB | ||
| 2. Generating a Cohort Table.srt | 14.8 KB | ||
| 2. Identifying Outliers Using the IQR Method.mp4 | 86.4 MB | ||
| 2. Identifying Outliers Using the IQR Method.srt | 11.9 KB | ||
| 2. Introduction to EDA.mp4 | 10.7 MB | ||
| 2. Introduction to EDA.srt | 1.5 KB | ||
| 2. Reading Data from Spreadsheets.mp4 | 48 MB | ||
| 2. Reading Data from Spreadsheets.srt | 7.8 KB | ||
| 2. Standardizing Variable Names.mp4 | 49.4 MB | ||
| 2. Standardizing Variable Names.srt | 6.3 KB | ||
| 2. Using R Scripts.mp4 | 57.9 MB | ||
| 2. Using R Scripts.srt | 8.4 KB | ||
| 2. Words to Charts.mp4 | 33 MB | ||
| 2. Words to Charts.srt | 5.5 KB | ||
| 3. Combining Inter-departmental Data.mp4 | 113 MB | ||
| 3. Combining Inter-departmental Data.srt | 17.4 KB | ||
| 3. Creating a Cohort Chart.mp4 | 46.9 MB | ||
| 3. Creating a Cohort Chart.srt | 6.2 KB | ||
| 3. Enumerating all Variables.mp4 | 31.6 MB | ||
| 3. Enumerating all Variables.srt | 3.6 KB | ||
| 3. Formatting Variables and Data.mp4 | 46.9 MB | ||
| 3. Formatting Variables and Data.srt | 6.2 KB | ||
| 3. Managing R Packages.mp4 | 32.2 MB | ||
| 3. Managing R Packages.srt | 4.6 KB | ||
| 3. Preparing Data for Visualization.mp4 | 31.1 MB | ||
| 3. Preparing Data for Visualization.srt | 5.3 KB | ||
| 3. Setting up and using R Notebooks.mp4 | 91.8 MB | ||
| 3. Setting up and using R Notebooks.srt | 11.9 KB | ||
| 3. Visualize Customer Segments.mp4 | 50.9 MB | ||
| 3. Visualize Customer Segments.srt | 8.7 KB | ||
| 3. Visualizing Outliers Using Histograms.mp4 | 69.4 MB | ||
| 3. Visualizing Outliers Using Histograms.srt | 10.5 KB | ||
| 4. Data Visualization 101.mp4 | 101.4 MB | ||
| 4. Data Visualization 101.srt | 14.2 KB | ||
| 4. Introduction to Layers in ggplot.mp4 | 34.8 MB | ||
| 4. Introduction to Layers in ggplot.srt | 8.8 KB | ||
| 4. Listing all Variable Properties.mp4 | 26.1 MB | ||
| 4. Listing all Variable Properties.srt | 2.9 KB | ||
| 4. Projects in R Studio.mp4 | 67.7 MB | ||
| 4. Projects in R Studio.srt | 10.1 KB | ||
| 4. Slicing and Dicing - Extracting Columns.mp4 | 51.4 MB | ||
| 4. Slicing and Dicing - Extracting Columns.srt | 6.1 KB | ||
| 4. Visualizing Outliers Using Boxplots.mp4 | 52.8 MB | ||
| 4. Visualizing Outliers Using Boxplots.srt | 8 KB | ||
| 5. Adding Labels to Box Plots.mp4 | 43 MB | ||
| 5. Adding Labels to Box Plots.srt | 5.9 KB | ||
| 5. Building a 2-layer Plot - Part 1.mp4 | 30.2 MB | ||
| 5. Building a 2-layer Plot - Part 1.srt | 4.8 KB | ||
| 5. Slicing and Dicing - Extracting Rows.mp4 | 77.2 MB | ||
| 5. Slicing and Dicing - Extracting Rows.srt | 10.7 KB | ||
| 5. Studying Correlations.mp4 | 35.5 MB | ||
| 5. Studying Correlations.srt | 6.4 KB | ||
| 6. Building a 2-layer Plot - Part 2.mp4 | 114 MB | ||
| 6. Building a 2-layer Plot - Part 2.srt | 15.3 KB | ||
| 6. Summarizing Data.mp4 | 30.8 MB | ||
| 6. Summarizing Data.srt | 4.3 KB | ||
| 7. Creating Pivot Tables.mp4 | 112.4 MB | ||
| 7. Creating Pivot Tables.srt | 16.2 KB | ||
| 7. Labeling a Stacked Bar Chart.mp4 | 19.2 MB | ||
| 7. Labeling a Stacked Bar Chart.srt | 2.1 KB | ||
| 8. Preparing a summary table.mp4 | 78.8 MB | ||
| 8. Preparing a summary table.srt | 9.9 KB | ||
| 8. Using non-traditional Aesthetics.mp4 | 20.5 MB | ||
| 8. Using non-traditional Aesthetics.srt | 2.8 KB | ||
| 9. Standardize visualizations with themes.mp4 | 82.5 MB | ||
| 9. Standardize visualizations with themes.srt | 9.8 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| hello_world.R | 409.6 B | ||
| hf_module_2_hello_world.Rmd | 3.2 KB | ||
| hf_module_3_data_preparation.Rmd | 3 KB | ||
| hf_module_4_EDA.Rmd | 4.6 KB | ||
| hf_module_5_segmentation.Rmd | 3.9 KB | ||
| hf_module_6_cohorts.Rmd | 2.8 KB | ||
| hf_module_7_outlier_analysis.Rmd | 4.3 KB | ||
| hf_module_8_data_visualization.Rmd | 5.2 KB | ||
| hf_module_9_creating_reports.Rmd | 9.6 KB | ||
| hustlefunds_sales.csv | 20.9 KB | ||
| hustlefunds_timeseries.csv | 311.4 KB | ||
| hustlefunds_usage.csv | 10 KB | ||
| ▲ 104 total files | |||
Data-driven Product Management with R
https://CoursePig.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 45 lectures (5h 2m) | Size: 1.96 GB
A thought-provoking and practical course that transforms the way you drive influence with data
What you'll learn
Drive cross-functional collaboration by combining diverse datasets for better decision making.
Tell compelling stories with layered and clean data visualization.
Hone your instincts about customers and markets by exploring your data and spotting trends and anomalies.
cratize data for effective decision making by setting up a reproducible data environment.
Understand customer behavior and predict outcomes like retention through customer segmentation and cohort analysis
Spot and study outliers to better understand corner cases and potential red flags.
Boost your productivity and grow your influence by automating report generation
Requirements
Good working knowledge of spreadsheet software like MS Excel is required.
Programming skills NOT required.
Familiarity with scripting languages like Perl, Shell etc., is nice to have. However, if you are technically inclined and keen to learn something new, the resources in this course will be more than sufficient in helping you get started.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.3 GB | freecoursewb | 2 days | 0 | 0 | |
| 498.6 MB | freecoursewb | 2 days | 0 | 0 | |
| 2.2 GB | freecoursewb | 2 days | 18 | 16 | |
| 3.1 GB | freecoursewb | 2 days | 7 | 14 | |
| 995 MB | freecoursewb | 2 days | 2 | 2 |
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