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- SQL Fundamentals
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- Machine Learning Introduction with Python
- Machine Learning Intermediate with Python
- Probability and Statistics with Python
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- Data Cleaning with Python
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Courses Related to Python
- Python for Data Science: Fundamentals Part I
- Python for Data Science: Fundamentals Part II
- Python for Data Science: Intermediate
- Pandas and NumPy Fundamentals
- Data Visualization Fundamentals
- Storytelling Data Visualization and Information Design
- APIs and Web Scraping in Python
- Data Cleaning and Analysis
- Statistics Fundamentals
- Intermediate Statistics: Averages and Variability
- Probability: Fundamentals
- Conditional Probability
- Machine Learning Fundamentals
- Calculus For Machine Learning
- Linear Algebra For Machine Learning
- Linear Regression For Machine Learning
- Decision Trees
- Deep Learning Fundamentals
- Machine Learning Project
- Kaggle Fundamentals
- Machine Learning in Python: Intermediate
- Hypothesis Testing: Fundamentals
- Data Cleaning in Python: Advanced
- Data Cleaning Project Walkthrough
- Python for Data Engineering: Fundamentals Part I
- Python for Data Engineering: Fundamentals Part II
- Python Intermediate for Data Engineering
- Programming Concepts with Python
- Elements of the Command Line
- Text Processing in the Command Line
- Data Analysis in Business
- Command Line: Intermediate
- Git and Version Control
- Spark and Map-Reduce
Courses Related to R
- Introduction to Data Analysis in R
- Data Structures in R
- Control Flow, Iteration and Functions in R
- Specialized Data Processing in R: Strings and Dates
- Data Visualization in R
- APIs in R
- Web Scraping in R
- Statistics Fundamentals in R
- Statistics Intermediate in R: Averages and Variability
- Probability: Fundamentals in R
- Conditional Probability in R
- Hypothesis Testing in R
- Data Cleaning in R
- Data Cleaning in R: Advanced
- Linear Regression Modeling in R
- Machine Learning Fundamentals in R
- Introduction To Shiny
Courses Related to SQL