Career Paths
Helpful Information
Skill Paths
- Generative AI Fundamentals in Python
- Python Fundamentals for Web Development
- Deep Learning in TensorFlow
- Zero to GPT
- Machine Learning in Python
- Data Visualization with Tableau
- Probability and Statistics with R
- Data Cleaning with Python
- Analyzing Data with Microsoft Power BI
- Data Literacy and Introduction to Data Analysis using Excel
- Probability and Statistics with Python
- R Basics for Data Analysis
- Data Analysis and Visualization with Python
- Data Visualization with R
- APIs and Web Scraping with Python
- APIs and Web Scraping with R
- SQL Fundamentals
- Python Basics for Data Analysis
Dataquest General Information
Programming Language Courses
Courses Related to Python
- APIs and Web Scraping in Python for Data Science
- Basic Operators and Data Structures in Python
- Python Functions and Jupyter Notebook
- Querying Databases with SQL and Python
- Introduction to SQL and Databases
- Window Functions in SQL
- Introduction to Python Programming
- Summarizing Data in SQL
- Combining Tables in SQL
- SQL Subqueries
- Introduction to Conditional Probability in Python
- Hypothesis Testing in Python
- Intermediate Command Line for Data Science
- Introduction to Git and Version Control
- Data Cleaning and Analysis in Python
- Advanced Data Cleaning in Python
- Data Cleaning Project Walkthrough
- Command Line for Data Science
- Text Processing for Data Science
- SQL Fundamentals
- Introduction to APIs and Web Scraping in Python
- Intermediate SQL for Data Analysis
- Data Analysis for Business in Python
- Introduction to Statistics in Python
- Intermediate Statistics in Python
- Introduction to Probability in Python
- Introduction to Python Programming
- For Loops and Conditional Statements in Python
- Dictionaries, Frequency Tables, and Functions in Python
- Python Functions and Jupyter Notebook
- Intermediate Python for Data Science
- Introduction to Pandas and NumPy for Data Analysis
- Introduction to Data Visualization in Python
- Telling Stories Using Data Visualization and Information Design
- Azure: Tutorials and Tips
- Building a Portfolio
- Career Resources
- Command Line: Tutorials and Tips
- Deep Learning: Tutorials and Tips
- Excel: Tutorials and Tips
- Getting Started
- Learning and Motivation
- Machine Learning: Tutorials and Tips
- Power BI: Tutorials and Tips
- Programming Tools: Tutorials and Tips
- Project Ideas
- Project Walkthrough
- Python: Tutorials and Tips
- R: Tutorials and Tips
- SQL: Tutorials and Tips
- Statistics and Probability: Tutorials and Tips
- Tableau: Tutorials and Tips
- Tutorials
- Uncategorized
- Web Development: Tutorials and Tips
Courses Related to R
- Querying Databases with SQL and R
- Introduction to SQL and Databases
- Window Functions in SQL
- Linear Regression Modeling in R
- Introduction to Machine Learning in R
- Introduction to Interactive Web Applications in Shiny
- Summarizing Data in SQL
- Combining Tables in SQL
- SQL Subqueries
- Introduction to Data Cleaning in R
- Advanced Data Cleaning in R
- Introduction to APIs in R
- Intermediate SQL in R
- Introduction to Web Scraping in R
- Introduction to Statistics in R
- Intermediate Statistics in R
- Introduction to Probability in R
- Conditional Probability in R
- Hypothesis Testing in R
- Introduction to Data Analysis in R
- Data Structures in R
- Control Flow, Iteration, and Functions in R
- Specialized Data Processing in R
- Introduction to Data Visualization in R
- SQL Fundamentals
- Introduction to SQL and Databases
- Window Functions in SQL
- Introduction to SQL and Databases
- Filtering and Sorting Data in SQL
- Summarizing Data in SQL
- Combining Tables in SQL
- SQL Subqueries
- Querying SQLite from Python
- Introduction to SQL and Databases
- Summarizing Data in SQL
- Combining Tables in SQL
- SQL Subqueries
- Parallel Processing for Data Engineering
- Introduction to Data Structures
- Recursion and Trees for Data Engineering
- Building a Data Pipeline
- Introduction to Python for Data Engineering
- Dictionaries and Functions in Python
- Intermediate Python for Data Engineering
- Programming Concepts in Python
- Introduction to Algorithms
- Intermediate SQL for Data Engineering
- PostgreSQL for Data Engineering
- Optimizing PostgreSQL Databases
- NumPy for Data Engineering
- Processing Large Datasets In Pandas
- Intermediate Command Line for Data Science
- Introduction to Git and Version Control
- Command Line for Data Science
- Text Processing for Data Science
- SQL Fundamentals