Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Remi Rupasingha's Credentials
- Remi Rupasingha's Wallet
- Data Architecture Getting Started
- PL-300: Leveraging Power BI with Ribbon, Line, Column, & Pie Charts
- PL-300: Using the Power BI Service
- PL-300: Applying the DAX Formula Language in Power BI
- PL-300: Matrix & Treemap Controls in Power BI
- PL-300: Analysis & Sharing Features in Power BI
- PL-300: Working with Filters in Power BI
- PL-300: Extracting Insights from Data Using Power BI
- PL-300: Maps, Waterfall Charts, & Scatter Plots in Power BI
- PL-300: Using Time Intelligence in Power BI
- PL-300: Sharing Power BI Reports & Workspaces
- PL-300: Applying Power BI's Advanced Analysis Features
- PL-300: Advanced Modeling Technique in Power BI
- PL-300: Understanding Data Visualization
- PL-300: Creating & Formatting Charts In Power BI
- PL-300: Preparing Data for Visualizations in Power BI
- PL-300: An Overview of Data Modeling in Power BI
- PL-300: Loading & Transforming Data in Power BI
- PL-300: Power BI for Data Analysis
- Track 4: Statistical Analysis and Modeling in R
- Data Analysis with R
- Final Exam: Statistical Analysis and Modeling in R
- Statistical Analysis and Modeling in R: Building Regularized Models & Ensemble Models
- Statistical Analysis and Modeling in R: Performing Regression Analysis
- Statistical Analysis and Modeling in R: Performing Classification
- Statistical Analysis and Modeling in R: Performing Clustering
- Statistical Analysis and Modeling in R: Statistical Analysis on Your Data
- Statistical Analysis and Modeling in R: Working with Probability Distributions
- Statistical Analysis and Modeling in R: Understanding & Interpreting Statistical Tests
- Track 3: Working with Datasets in R
- Final Exam: Working with Datasets in R
- Datasets in R: Selecting, Filtering, Ordering, & Grouping Data
- Datasets in R: Joining & Visualizing Data
- Track 2: Applying and Using R Programming Structures
- Datasets in R: Transforming Data
- Using R Programming Structures: Object Systems
- Datasets in R: Loading & Saving Data
- Final Exam: Applying and Using R Programming Structures
- Using R Programming Structures: Functions & Environments
- Using R Programming Structures: Leveraging R with Control Flow & Looping
- Track 1: Getting Started with R Programming
- Final Exam: Getting Started with R Programming
- R Programming for Beginners: Understanding Data Frames, Factors, & Strings
- R Programming for Beginners: Leveraging R with Matrices, Arrays, & Lists
- R Programming for Beginners: Exploring R Vectors
- R Programming for Beginners: Getting Started
- Comprendre les fondamentaux Agile (mise à jour 2021)
- Remi Rupasingha's Transcript
- Remi Rupasingha's Wallet
- About Accredible