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- User Authentication
- Didier Rutaremara's Credentials
- Didier Rutaremara's Wallet
- Python - Introduction to NumPy for Multi-dimensional Data
- R Classification & Clustering
- R Regression Methods
- Data Exploration using R
- Importing & Exporting Data using R
- R Data Structures
- Applied Data Analysis
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Leading through Problem Solving and Decision Making
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Introduction to Machine Learning Bootcamp: Session 3 Replay
- Introduction to Machine Learning Bootcamp: Session 4 Replay
- Introduction to Machine Learning Bootcamp: Session 2 Replay
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Data Science Tools
- Introduction to Machine Learning Bootcamp: Session 1 Replay
- Clustering, Errors, & Validation
- Estimates & Measures
- Data Communication & Visualization
- Data Analysis Concepts
- Data Exploration
- Data Integration
- Data Transformation
- Data Filtering
- Data Gathering
- Data Analysis for Business Professionals Bootcamp: Session 1 Replay
- Data Analysis for Business Professionals Bootcamp: Session 2 Replay
- Statistical & Hypothesis Tests: Using the One-sample T-test
- Statistical & Hypothesis Tests: Using Non-parametric Tests & ANOVA Analysis
- Statistical & Hypothesis Tests: Performing Two-sample T-tests & Paired T-tests
- Getting Started with Python: Introduction
- Final Exam: Statistics and Probability
- 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
- Probability Theory: Getting Started with Probability
- Core Statistical Concepts: Statistics & Sampling with Python
- Final Exam: Introduction to Math
- Simple Descriptive Statistics
- Inferential Statistics
- Common Approaches to Sampling Data
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Calculus: Getting Started with Derivatives
- Calculus: Understanding Integration
- Essential Maths: Exploring Linear Algebra
- Calculus: Derivatives with Linear and Quadratic Functions & Partial Derivatives
- Understanding and Raising Analytics Maturity
- Math & Optimizations: Introducing Sets & Set Operations
- Cloud Computing Fundamentals: Storing & Managing Cloud Data
- Math & Optimizations: Solving Optimization Problems Using Linear Programming
- Math & Optimizations: Introducing Graphs & Graph Operations
- Math & Optimizations: Solving Optimization Problems Using Integer Programming
- Analytics by Function
- SQL Selecting, Ordering, & Filtering
- SQL Tables
- Table Design: Tables, Columns, & Numbers
- Relational Algebra & Calculus
- Data and Analytics Technologies at Work
- SQL Concepts & Queries
- Database Fundamentals: Getting Started with SQL
- Database Fundamentals: Working with SQL Commands
- Database Fundamentals: Database Administration Basics
- Leveraging the Power of Analogical Thinking
- Outwitting Your Cognitive Bias
- Confronting Your Assumptions
- Reaching Sound Conclusions
- Database Fundamentals: Database Concepts
- Database Fundamentals: Understanding Relational Database Management Systems
- Critical Thinking: Investigating Arguments
- Didier Rutaremara's Transcript
- Didier Rutaremara's Wallet
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