Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- K Rohit's Credentials
- K Rohit's Wallet
- Troublesome Words and Phrases: Usage Mistakes in Writing
- Forging Relationships with External Stakeholders
- Conveying Your Message without Words
- Expert Insights on Mentoring
- Developing a Growth Mindset
- Reaching Goals Using Perseverance and Resilience
- Data Research Techniques
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Introduction
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Math for Data Science & Machine Learning
- Linear Models & Gradient Descent: Managing Linear Models
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Bayesian Methods: Bayesian Concepts & Core Components
- Implementing Bayesian Model and Computation with PyMC
- Bayesian Methods: Advanced Bayesian Computation Model
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- Data Science Statistics: Applied Inferential Statistics
- Advanced Visualizations & Dashboards: Visualization Using Python
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Basic Data Visualization Using Seaborn
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- ELK Operations on the Cloud
- Data Science Tools
- Delivering Dashboards: Exploration & Analytics
- Delivering Dashboards: Management Patterns
- Cloud Data Architecture: Cloud Architecture & Containerization
- Python - Using Pandas for Visualizations and Time-Series Data
- Data Sources: Implementing Edge Data on the Cloud
- Data Sources: Integration from the Edge
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Inferential Statistics
- Common Approaches to Sampling Data
- Simple Descriptive Statistics
- Python - Pandas Advanced Features
- Python - Using Pandas to Work with Series & DataFrames
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Six Sigma: Quality Tools
- Using Data to Find Data: Data Discovery & Exploration
- Six Sigma Exploratory Data Analysis
- Six Sigma Statistics and Graphical Presentation
- Basic Six Sigma Statistics
- Six Sigma Hypothesis Tests for Variances and Proportions
- Six Sigma Correlation, Regression, and Hypothesis Testing
- Six Sigma Hypothesis Testing Fundamentals
- Six Sigma Probability and Statistical Distributions
- Strategies for Managing Technical Teams
- Data Science Overview
- Technology Landscape & Tools for Data Management
- Designing for Data Access & Protection
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Data Considerations in Analytics
- Data Communication & Visualization
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- Building Agile Capabilities in Your Organization
- Investigating Arguments
- Using Strategic Thinking to Consider the Big Picture
- Leading a Cross-functional Team
- Developing an Effective Business Case
- Six Sigma: Identifying Projects
- Perspectives for Effective Business Analysis
- Business Analysis Documentation & Criteria
- Business Analysis Analytical Techniques
- The Solution Evaluation Knowledge Area
- Excel with Python: Constructing Data Visualizations
- Data Gathering
- Excel with Python: Working with Excel Spreadsheets from Python
- Excel with Python: Performing Advanced Operations
- Data Structures & Algorithms in Python: Implementing Data Structures
- 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: Fundamental Data Structures
- Introduction to Using PyCharm IDE
- Getting Started with Python: Introduction
- Building the Foundation for an Effective Team
- Audience and Purpose in Business Writing
- Clarity and Conciseness in Business Writing
- Editing and Proofreading Business Documents
- Abbreviating, Capitalizing, and Using Numbers
- Working with Excel Tables
- Navigating the Workplace with Emotional Intelligence
- Navigating Other People's Emotions
- The Essentials for Anger Management
- Navigating Your Own Emotions
- Personal Skills for Effective Business Analysis
- Expert Insights on Networking & Building Relationships
- Building Rapport with Your Boss
- Finding and Nurturing a Mentor Relationship
- Building Your Professional Network
- Excel 2019: Working with Excel Tables
- Cultivating Relationships with Your Peers
- Finding, Sorting, & Filtering Data
- Excel 2019: Inserting PivotTables
- Inventory Management: Aligning Inventory with Production and Demand
- Aligning Unit Goals and Imperatives
- Optimizing Operations Using Demand Forecasting and Capacity Management
- Operations Management Functions and Strategies
- Managing Pressure and Stress to Optimize Your Performance
- Basic Budgeting for Non-financial Professionals
- Aligning Goals and Priorities To Manage Time
- Planning an Effective Presentation
- Basic Accounting Concepts for Non-financial Professionals
- Choosing and Using the Best Solution
- Classifying and Collecting Data
- Data Analysis and Root Cause Analysis in Six Sigma
- Expert Insights on Decision Making
- K Rohit's Transcript
- K Rohit's Wallet
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