Udemy - Data-driven Product Management with R

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[ CoursePig.com ] Udemy - Data-driven Product Management with R
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Welcome
    • 1. Welcome to the Course.mp4 (105.4 MB)
    • 1. Welcome to the Course.srt (7.8 KB)
    10. Creating Reports using Notebooks
    • 1. Introduction to R Notebooks.mp4 (30.2 MB)
    • 1. Introduction to R Notebooks.srt (6.0 KB)
    • 2. Basic Text Formatting.mp4 (41.4 MB)
    • 2. Basic Text Formatting.srt (4.5 KB)
    • 3. Setting up and using R Notebooks.mp4 (91.8 MB)
    • 3. Setting up and using R Notebooks.srt (11.9 KB)
    2. Getting Started with R and R Studio
    • 1. Getting Started with R and R Studio.mp4 (32.0 MB)
    • 1. Getting Started with R and R Studio.srt (7.5 KB)
    • 2. Using R Scripts.mp4 (57.9 MB)
    • 2. Using R Scripts.srt (8.4 KB)
    • 3. Managing R Packages.mp4 (32.2 MB)
    • 3. Managing R Packages.srt (4.6 KB)
    • 4. Projects in R Studio.mp4 (67.7 MB)
    • 4. Projects in R Studio.srt (10.1 KB)
    • hello_world.R (0.4 KB)
    • hf_module_2_hello_world.Rmd (3.2 KB)
    • hf_module_3_data_preparation.Rmd (3.0 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 (10.0 KB)
    3. Facilitating Collaborative Decision Making
    • 1. Facilitating Collaborative Decision Making.mp4 (24.2 MB)
    • 1. Facilitating Collaborative Decision Making.srt (4.3 KB)
    • 2. Reading Data from Spreadsheets.mp4 (48.0 MB)
    • 2. Reading Data from Spreadsheets.srt (7.8 KB)
    • 3. Combining Inter-departmental Data.mp4 (113.0 MB)
    • 3. Combining Inter-departmental Data.srt (17.4 KB)
    • 4. Data Visualization 101.mp4 (101.4 MB)
    • 4. Data Visualization 101.srt (14.2 KB)
    4. Preparing Data for Analysis
    • 1. Introduction to Data Preparation Using Tidyverse.mp4 (31.4 MB)
    • 1. Introduction to Data Preparation Using Tidyverse.srt (6.4 KB)
    • 2. Standardizing Variable Names.mp4 (49.4 MB)
    • 2. Standardizing Variable Names.srt (6.3 KB)
    • 3. Formatting Variables and Data.mp4 (46.9 MB)
    • 3. Formatting Variables and Data.srt (6.2 KB)
    • 4. Slicing and Dicing - Extracting Columns.mp4 (51.4 MB)
    • 4. Slicing and Dicing - Extracting Columns.srt (6.1 KB)
    • 5. Slicing and Dicing - Extracting Rows.mp4 (77.2 MB)
    • 5. Slicing and Dicing - Extracting Rows.srt (10.7 KB)
    5. Hone your Instincts with Data
    • 1. Honing your instincts.mp4 (22.7 MB)
    • 1. Honing your instincts.srt (4.3 KB)
    • 2. Introduction to EDA.mp4 (10.7 MB)
    • 2. Introduction to EDA.srt (1.5 KB)
    • 3. Enumerating all Variables.mp4 (31.6 MB)
    • 3. Enumerating all Variables.srt (3.6 KB)
    • 4. Listing all Variable Properties.mp4 (26.1 MB)
    • 4. Listing all Variable Properties.srt (2.9 KB)
    • 5. Studying Correlations.mp4 (35.5 MB)
    • 5. Studying Correlations.srt (6.4 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)
    • 8. Preparing a summary table.mp4 (78.8 MB)
    • 8. Preparing a summary table.srt (9.9 KB)
    6. Studying Customer Segments
    • 1. Introduction to Customer Segmentation.mp4 (21.3 MB)
    • 1. Introduction to Customer Segmentation.srt (3.9 KB)
    • 2. Creating Business Indicators.mp4 (86.8 MB)
    • 2. Creating Business Indicators.srt (10.8 KB)
    • 3. Visualize Customer Segments.mp4 (50.9 MB)
    • 3. Visualize Customer Segments.srt (8.7 KB)
    7. Studying Customer Cohorts
    • 1. Introduction to Cohort Analysis.mp4 (28.2 MB)
    • 1. Introduction to Cohort Analysis.srt (5.9 KB)
    • 2. Generating a Cohort Table.mp4 (100.4 MB)
    • 2. Generating a Cohort Table.srt (14.8 KB)
    • 3. Creating a Cohort Chart.mp4 (46.9 MB)
    • 3. Creating a Cohort Chart.srt (6.2 KB)
    8. Studying Outliers
    • 1. Introduction to Outlier Analysis.mp4 (17.9 MB)
    • 1. Introduction to Outlier Analysis.srt (3.2 KB)
    • 2. Identifying Outliers Using the IQR Method.mp4 (86.4 MB)
    • 2. Identifying Outliers Using the IQR Method.srt (11.9 KB)
    • 3. Visualizing Outliers Using Histograms.mp4 (69.4 MB)
    • 3. Visualizing Outliers Using Histograms.srt (10.5 KB)
    • 4. Visualizing Outliers Using Boxplots.mp4 (52.8 MB)
    • 4. Visualizing Outliers Using Boxplots.srt (8.0 KB)
    • 5. Adding Labels to Box Plots.mp4 (43.0 MB)
    • 5. Adding Labels to Box Plots.srt (5.9 KB)
    9. Telling Stories with Data
    • 1. Introduction to Grammar of Graphics.mp4 (28.2 MB)
    • 1. Introduction to Grammar of Graphics.srt (5.3 KB)
    • 2. Words to Charts.mp4 (33.0 MB)
    • 2. Words to Charts.srt (5.5 KB)
    • 3. Preparing Data for Visualization.mp4 (31.1 MB)
    • 3. Preparing Data for Visualization.srt (5.3 KB)
    • 4. Introduction to Layers in ggplot.mp4 (34.8 MB)
    • 4. Introduction to Layers in ggplot.srt (8.8 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)
    • 6. Building a 2-layer Plot - Part 2.mp4 (114.0 MB)
    • 6. Building a 2-layer Plot - Part 2.srt (15.3 KB)
    • 7. Labeling a Stacked Bar Chart.mp4 (19.2 MB)
    • 7. Labeling a Stacked Bar Chart.srt (2.1 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

Description

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.



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Udemy - Data-driven Product Management with R

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Download torrent
2.3 GB
seeders:8
leechers:6
Udemy - Data-driven Product Management with R

Torrent hash: B1D283B40D7A9E95C53888B8AE14FB0B4488E169