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- User Authentication
- Devin Baird's Credentials
- Devin Baird's Wallet
- Track 2: Implementing Neural Networks in TensorFlow
- Data Driven Organizations
- Text Preprocessing
- Welcome to the Data Scientist: Natural Language Processing Specialist Career Path
- Deep Learning and Neural Networks
- Python Pandas for Data Science
- Python Fundamentals for Data Science (Part II)
- Python Fundamentals for Data Science (Part I)
- Data Science Foundations Portfolio Project
- Deep Learning and Neural Networks
- Next Step: The Machine Learning Specialty
- Data Science Foundations Portfolio Project
- Python Fundamentals for Data Science (Part II)
- Python Pandas for Data Science
- Python Fundamentals for Data Science (Part I)
- Welcome to the Data Scientist: Machine Learning Specialist Career Path
- Track 1: SQL Basics
- Advanced Operations Using Hadoop MapReduce
- Essential Maths: Exploring Linear Algebra
- Hadoop MapReduce Applications With Combiners
- Filtering Data Using Hadoop MapReduce
- Using Hive to Optimize Query Executions with Partitioning
- Bucketing & Window Functions with Hive
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Optimizing Query Executions with Hive
- Viewing & Querying Complex Data with Hive
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Getting Started with Hive
- Loading & Querying Data with Hive
- MongoDB Aggregation
- Python - Pandas Advanced Features
- MongoDB Querying
- 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 Wrangling with Trifacta
- Python - Using Pandas to Work with Series & DataFrames
- Data Analyst
- Final Exam: Data Analyst
- Data Lake Sources, Visualizations, & ETL Operations
- Applied Data Analysis
- Data Lakes on AWS
- Data Silos, Lakes, & Streams Introduction
- Introduction to the Shell for Hadoop HDFS
- Working with Files in Hadoop HDFS
- Hadoop HDFS File Permissions
- ML & Dimensionality Reduction: Performing Principal Component Analysis
- Hadoop HDFS Getting Started
- Regression Math: Using Gradient Descent & Logistic Regression
- Hadoop & MapReduce Getting Started
- Developing a Basic MapReduce Hadoop Application
- Apache Spark Getting Started
- Simple Descriptive Statistics
- Inferential Statistics
- Common Approaches to Sampling Data
- R Classification & Clustering
- R Regression Methods
- Data Exploration using R
- Importing & Exporting Data using R
- Math & Optimizations: Introducing Graphs & Graph Operations
- Python & Matplotlib: Creating Box Plots, Scatter Plots, Heatmaps, & Pie Charts
- Math & Optimizations: Introducing Sets & Set Operations
- Python & Matplotlib: Getting Started with Matplotlib for Data Visualization
- Python Apprentice
- Final Exam: Python Apprentice
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Trees & Graphs
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- Advanced Python Topics: Migrating from Python 2 to Python 3
- Python Classes & Inheritance: Introduction
- Python Classes & Inheritance: Getting Started with Classes in Python
- Advanced Python Topics: Modules & Virtual Environments
- Advanced Python Topics: Exceptions & Command Line Arguments
- The Four Vs of Data
- Python Classes & Inheritance: Working with Inheritance in Python
- Python Novice
- Final Exam: Python Novice
- Advanced Python Topics: File Operations in Python
- Functions in Python: Working with Advanced Features of Python Functions
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: While Loops in Python
- Functions in Python: Introduction
- Conditional Statements & Loops: The Basics of for Loops in Python
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Getting Started with Python: Introduction
- Python for Data Science: Basic Data Visualization Using Seaborn
- Regression Math: Getting Started with Linear Regression
- R Data Structures
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Data Engineering Getting Started
- Data Architecture Getting Started
- Python Basics
- Devin Baird's Transcript
- Devin Baird's Wallet
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