Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Yan Ting Long's Credentials
- Yan Ting Long's Wallet
- Data Wrangler
- Final Exam: Data Wrangler
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Lake Framework & Design Implementation
- Data Lake Architectures & Data Management Principles
- Data Analysis Using the Spark DataFrame API
- Data Analysis using Spark SQL
- Data Architecture Deep Dive - Design & Implementation
- Filtering Data Using Hadoop MapReduce
- Using Hive to Optimize Query Executions with Partitioning
- Optimizing Query Executions with Hive
- Advanced Operations Using Hadoop MapReduce
- Bucketing & Window Functions with Hive
- Viewing & Querying Complex Data with Hive
- Hadoop MapReduce Applications With Combiners
- MongoDB Aggregation
- MongoDB Querying
- Getting Started with Hive
- Loading & Querying Data with Hive
- Data Wrangling with Trifacta
- Python - Pandas Advanced Features
- Cleaning Data in R
- Machine Learning & Deep Learning Tools in the Cloud
- Python - Using Pandas for Visualizations and Time-Series Data
- Technology Landscape & Tools for Data Management
- Data Analyst
- Final Exam: Data Analyst
- Data Lake Sources, Visualizations, & ETL Operations
- Data Silos, Lakes, & Streams Introduction
- Python - Using Pandas to Work with Series & DataFrames
- Applied Data Analysis
- Hadoop HDFS File Permissions
- Data Lakes on AWS
- Introduction to the Shell for Hadoop HDFS
- Working with Files in Hadoop HDFS
- Developing a Basic MapReduce Hadoop Application
- Hadoop HDFS Getting Started
- Hadoop & MapReduce Getting Started
- R Classification & Clustering
- R Regression Methods
- Data Exploration using R
- Apache Spark Getting Started
- Simple Descriptive Statistics
- Inferential Statistics
- Common Approaches to Sampling Data
- Data Engineering Getting Started
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Importing & Exporting Data using R
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- R Data Structures
- Data Architecture Getting Started
- NLP with LLMs: Fine-tuning Models for Classification & Question Answering
- NLP with LLMs: Fine-tuning Models for Language Translation, & Summarization
- Natural Language Processing and LLMs
- Track 2: Architecting LLM for your Technical solutions
- Final Exam: Architecting LLMs for Your Technical Solutions
- NLP with LLMs: Language Translation, Summarization, & Semantic Similarity
- NLP with LLMs: Hugging Face Classification, QnA, & Text Generation Pipelines
- Attention-based Models and Transformers for Natural Language Processing
- NLP with LLMs: Working with Tokenizers in Hugging Face
- Track 1: Natural Language Processing
- Final Exam: Natural Language Processing Fundamentals
- Using Recurrent Networks For Natural Language Processing
- Natural Language Processing Using Deep Learning
- Using Out-of-the-Box Transformer Models for Natural Language Processing
- Fundamentals of NLP: Word Embeddings to Capture Relationships in Text
- Fundamentals of NLP: Representing Text as Numeric Features
- Fundamentals of NLP: Rule-based Models for Sentiment Analysis
- Fundamentals of NLP: Preprocessing Text Using NLTK & SpaCy
- Fundamentals of NLP: Introducing Natural Language Processing
- UiPath Academy Automation Explorer Training
- LLM Accuracy, Performance, and Trade-Offs
- Yan Ting Long's Transcript
- Yan Ting Long's Wallet
- About Accredible