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- User Authentication
- Aleksander Romanha Santos's Credentials
- Aleksander Romanha Santos's Wallet
- Functions in Python: Introduction
- Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI
- Track 1: Introduction to Large Language Models (LLMs)
- Introduction to Large Language Models (LLMs)
- Track 1: Introduction to Hugging Face
- Leveraging Analytical and Critical Thinking to Implement AI
- Math & Optimizations: Introducing Sets & Set Operations
- Math & Optimizations: Introducing Graphs & Graph Operations
- Track 2: Statistics and Probability
- Final Exam: Statistics and Probability
- Statistical & Hypothesis Tests: Using Non-parametric Tests & ANOVA Analysis
- Statistical & Hypothesis Tests: Performing Two-sample T-tests & Paired T-tests
- Statistical & Hypothesis Tests: Using the One-sample T-test
- Statistical & Hypothesis Tests: Getting Started with Hypothesis Testing
- Probability Distributions: Understanding Normal Distributions
- Probability Distributions: Uniform, Binomial, & Poisson Distributions
- Probability Distributions: Getting Started with Probability Distributions
- Probability Theory: Creating Bayesian Models
- Probability Theory: Understanding Joint, Marginal, & Conditional Probability
- Core Statistical Concepts: Statistics & Sampling with Python
- Probability Theory: Getting Started with Probability
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Delivering Dashboards: Management Patterns
- Data Science Tools
- Data Lake Architectures & Data Management Principles
- Data Lake Framework & Design Implementation
- Data Analysis using Spark SQL
- Data Analysis Using the Spark DataFrame API
- MongoDB Aggregation
- MongoDB Querying
- Machine Learning & Deep Learning Tools in the Cloud
- Technology Landscape & Tools for Data Management
- Final Exam: Data Analyst
- Python - Pandas Advanced Features
- Cleaning Data in R
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Using Pandas to Work with Series & DataFrames
- Applied Data Analysis
- Data Lakes on AWS
- Data Silos, Lakes, & Streams Introduction
- Hadoop & MapReduce Getting Started
- Apache Spark Getting Started
- Inferential Statistics
- R Classification & Clustering
- Simple Descriptive Statistics
- Common Approaches to Sampling Data
- R Regression Methods
- Data Exploration using R
- Importing & Exporting Data using R
- R Data Structures
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Data Engineering Getting Started
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Data Architecture Getting Started
- Developing and Supporting an Agile Mindset
- Embracing a Customer-obsessed Mentality
- Track 2: 5G Practices
- 5G Security & Privacy Practices
- 5G Technologies and Practices
- 5G Practices: Working with Governments & Regulations
- Final Exam: 5G Practices
- 5G Principles & Practices: Small Cell Networking
- 5G Mobile Network Providers: 5G Mobile Networks & Providers
- 5G Mobile Network Providers: The 5G Protocol Stacks
- 5G Mobile Network Providers: Diving Deeper into 5G's Layered Design
- 5G Mobile Network Providers: 5G Core Infrastructure
- Track 1: 5G Principles
- Final Exam: 5G Principles
- 5G Principles: Assessing & Navigating 5G Issues
- 5G Machine-type Communication: Applications of Machine-to-machine Communication
- Anatomization of 5G Communications: Network Architecture & Topology
- 5G Machine-type Communication: Defining Machine-type 5G
- Anatomization of 5G Communications: Players & Enablers
- 5G Principles: The Promise of the 5G Revolution
- 5G Principles: Comparing 5G to 4G
- 5th Generation Mobile Networks: The 5G Revolution
- 5th Generation Mobile Networks: 5G Principles, Facts & Fiction
- Aleksander Romanha Santos's Transcript
- Aleksander Romanha Santos's Wallet
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