Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Samik Patel's Credentials
- Samik Patel's Wallet
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Data Research Techniques
- Machine & Deep Learning Algorithms: Regression & Clustering
- Math for Data Science & Machine Learning
- Machine & Deep Learning Algorithms: Introduction
- Linear Models & Gradient Descent: Managing Linear Models
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Bayesian Methods: Advanced Bayesian Computation Model
- Managing Employee Development
- Being a Fair and Caring Manager
- Bayesian Methods: Bayesian Concepts & Core Components
- Implementing Bayesian Model and Computation with PyMC
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Data Science Statistics: Applied Inferential Statistics
- ELK Operations on the Cloud
- Advanced Visualizations & Dashboards: Visualization Using Python
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Python for Data Science: Basic Data Visualization Using Seaborn
- Delivering Dashboards: Exploration & Analytics
- Delivering Dashboards: Management Patterns
- Python - Using Pandas for Visualizations and Time-Series Data
- Data Science Tools
- Cloud Data Architecture: Cloud Architecture & Containerization
- Python - Pandas Advanced Features
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Simple Descriptive Statistics
- Data Sources: Implementing Edge Data on the Cloud
- Inferential Statistics
- Common Approaches to Sampling Data
- Data Sources: Integration from the Edge
- Python - Using Pandas to Work with Series & DataFrames
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Six Sigma: Quality Tools
- Using Data to Find Data: Data Discovery & Exploration
- Six Sigma Statistics and Graphical Presentation
- Data Analysis and Root Cause Analysis in Six Sigma
- Six Sigma Hypothesis Tests for Variances and Proportions
- Six Sigma Exploratory Data Analysis
- Six Sigma Probability and Statistical Distributions
- Basic Six Sigma Statistics
- Strategies for Managing Technical Teams
- Six Sigma Correlation, Regression, and Hypothesis Testing
- Six Sigma Hypothesis Testing Fundamentals
- Data Science Overview
- Technology Landscape & Tools for Data Management
- Designing for Data Access & Protection
- Data Communication & Visualization
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Data Considerations in Analytics
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- Investigating Arguments
- Getting to the Root of a Problem
- Using Strategic Thinking to Consider the Big Picture
- Leading a Cross-functional Team
- Building Agile Capabilities in Your Organization
- Six Sigma: Identifying Projects
- Developing an Effective Business Case
- Perspectives for Effective Business Analysis
- The Requirements Life Cycle Management Knowledge Area
- Business Analysis Documentation & Criteria
- Classifying and Collecting Data
- Business Analysis Analytical Techniques
- The Solution Evaluation Knowledge Area
- Personal Skills for Effective Business Analysis
- Excel with Python: Working with Excel Spreadsheets from Python
- Excel with Python: Constructing Data Visualizations
- Excel with Python: Performing Advanced Operations
- Data Gathering
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Introduction to Using PyCharm IDE
- Getting Started with Python: Introduction
- Expert Insights on Developing as a Leader
- Influencing through Positive Leadership
- Leading by Motivating
- Expert Insights on Difficult Conversations
- Choosing the Right Interpersonal Communication Method to Make Your Point
- Capturing the Attention of Senior Executives
- Building a Leadership Development Plan
- How to Manage Difficult Conversations
- Using Performance Appraisals to Advance Your Career
- Facing the Management Challenges of Difficult Behavior and Diverse Teams
- Effectively Directing and Delegating as a Manager
- Being an Effective Manager When Times Are Tough
- Managing in a Crisis
- Maximize Your Productivity by Managing Time and Tasks
- Samik Patel's Transcript
- Samik Patel's Wallet
- About Accredible