Site Map - skillsoft.digitalbadges-eu.skillsoft.com
- User Authentication
- Jean-Marc Nguete's Credentials
- Jean-Marc Nguete's Wallet
- LLMs on Google Cloud: Retrieval-Augmented Generation (RAGs) on Vertex AI
- Text Mining and Analytics: Hotel Reviews Sentiment Analysis
- Deep Learning for NLP: Transfer Learning
- Negotiating Well and Going for the Close
- Turning Objection into Opportunity during a Sales Call
- The Value Proposition: Getting Your Pitch Right
- The Discovery Meeting: Starting Off on the Right Foot
- Customer Service: Discovering Customer Needs
- Customer Service: Interpreting Customers’ Service Priorities
- Coaching Techniques That Inspire Coachees to Action
- Keeping Your Coachee Committed and Accountable
- Managing Employee Development
- Prospecting: Panning for Sales Gold
- Customer Service: Engaging with Customers
- Customer Service: Generating Effective Solutions
- Customer Service: Fostering a Service Mindset
- Coaching and Training a Sales Team
- Customer Service and Satisfaction
- Customer Service: Adapting to Your Customers' Cues
- Deep Learning and Neural Networks
- Embracing a Customer-obsessed Mentality
- Effective Team Communication
- Establishing Team Goals and Responsibilities, and Using Feedback Effectively
- Strategies for Building a Cohesive Team
- Teambuilding and Management
- Engaging and Challenging Your Top Performers
- Handling Team Conflict
- Leading in a Hybrid Workplace
- Developing a Successful Team
- Building the Foundation for an Effective Team
- Exploring Data Visualization
- Problem Solving: Choosing and Implementing the Right Solution
- Visualizing Data for Impact: Data Storytelling
- Using OpenAI APIs: Accessing OpenAI APIs from Python
- Prompt Engineering for Hypothesis Testing
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- Track 1: Prompt Engineering with Generative AI Tools
- Prompt Engineering with Generative AI Tools
- Exploring the OpenAI Playground
- Getting Started with Prompt Engineering
- PMP ATP Learner Kit Information
- The First Steps in Negotiating
- Final Exam: Data Wrangler
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Wrangler
- Probability Distributions: Understanding Normal Distributions
- Probability Distributions: Getting Started with Probability Distributions
- Probability Theory: Creating Bayesian Models
- Statistical & Hypothesis Tests: Using the One-sample T-test
- Cleaning Data in R
- MongoDB Querying
- MongoDB Aggregation
- Data Analysis Using the Spark DataFrame API
- Data Analysis using Spark SQL
- Optimizing Query Executions with Hive
- Data Science Statistics: Applied Inferential Statistics
- Using Hive to Optimize Query Executions with Partitioning
- Loading & Querying Data with Hive
- Getting Started with Hive
- Viewing & Querying Complex Data with Hive
- Bucketing & Window Functions with Hive
- Data Lake Framework & Design Implementation
- Data Wrangling with Trifacta
- Data Architecture Deep Dive - Design & Implementation
- Data Lake Architectures & Data Management Principles
- Filtering Data Using Hadoop MapReduce
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Final Exam: Data Scientist
- Hadoop MapReduce Applications With Combiners
- Advanced Operations Using Hadoop MapReduce
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Probability Theory: Understanding Joint, Marginal, & Conditional Probability
- Data Scientist
- Creating Data APIs Using Node.js
- Machine & Deep Learning Algorithms: Introduction
- Technology Landscape & Tools for Data Management
- Machine Learning & Deep Learning Tools in the Cloud
- R for Data Science: Data Visualization
- Machine & Deep Learning Algorithms: Regression & Clustering
- Statistical & Hypothesis Tests: Getting Started with Hypothesis Testing
- Data Research Techniques
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Advanced Visualizations & Dashboards: Visualization Using R
- Probability Theory: Getting Started with Probability
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Tableau Desktop: Real Time Dashboards
- Using BigML: Unsupervised Learning
- Core Statistical Concepts: Statistics & Sampling with Python
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Storytelling with Data: Introduction
- Advanced Visualizations & Dashboards: Visualization Using Python
- Storytelling with Data: Tableau & Power BI
- Data Recommendation Engines
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Raw Data to Insights: Data Management & Decision Making
- Python - Using Pandas to Work with Series & DataFrames
- Analyzing Data Using Python: Filtering Data in Pandas
- Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas
- Estimates & Measures
- Clustering, Errors, & Validation
- Data Driven Organizations
- Analyzing Data Using Python: Cleaning & Analyzing Data in Pandas
- Using BigML: Building Supervised Learning Models
- Final Exam: Business Analyst to Data Analyst
- Analyzing Data Using Python: Data Analytics Using Pandas
- Data Science Tools
- The Four Vs of Data
- Streaming Data Architectures: Processing Streaming Data with Spark
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Data Communication & Visualization
- Data Transformation
- Data Gathering
- Data Filtering
- Data Integration
- Using BigML: Getting Hands-on with BigML
- VBA: Building User Interfaces with Forms in VBA & Excel
- VBA: Leveraging VBA to Work with Charts, Stocks, & MS Access
- Using BigML: An Introduction to Machine Learning & BigML
- Final Exam: Business Analyst
- Complete Guide to Excel 365: What-If Analysis, Solver, & Analysis ToolPak
- VBA: Getting Started with VBA in Excel
- Complete Guide to Excel 365: Pivot, PowerPivot, & Financial Modeling
- Complete Guide to Excel 365: Validating, Cleaning, & Performing Lookups on Data
- Complete Guide to Excel 365: Working With Charts & Sparklines
- Complete Guide to Excel 365: Getting Started
- Complete Guide to Excel 365: Using Formatting, Styles, & Themes
- Complete Guide to Excel 365: Linking, Printing, & Protecting Workbooks
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Generative AI and Its Impact to Everyday Business
- Navigating AI Ethical Challenges and Risks
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Introduction to Pandas and DataFrames
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to NumPy for Multi-dimensional Data
- Organizational IT Trends, Analytics, and Application Development
- Spark for High-speed Big Data Analytics
- Big Data Concepts: Big Data Essentials
- Techniques for Big Data Analytics
- Big Data Concepts: Getting to Know Big Data
- Evaluating Systems with Data Modeling
- Jean-Marc Nguete's Transcript
- Jean-Marc Nguete's Wallet
- About Accredible