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Skill Paths

• Generative AI Fundamentals in Python
• Python Fundamentals for Web Development
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• Machine Learning in Python
• Data Visualization with Tableau
• Probability and Statistics with R
• Data Cleaning with Python
• 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

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Programming Language Courses

• Python for Data Science
• R for Data Science
• SQL for Data Science

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

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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

Courses Related to SQL

• 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

Courses Related to Data Engineering

• 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