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Data Analyst in Python\Step 1 - Introduction to Python\1. Python for Data Science Fundamentals\5. Dictionaries and Frequency Tables.py
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Data Analyst in Python\Step 6 - Advanced Topics in Data Analysis\1. Command Line Intermediate\4. Working with Jupyter console.sh
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Data Analyst in Python\Step 3 - The Command Line\2. Text Processing in the Command Line\2. File Inspection.sh
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Data Analyst in Python\Step 6 - Advanced Topics in Data Analysis\1. Command Line Intermediate\6. Challenge Data Munging Using The Command Line.sh
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Data Analyst in Python\Step 2 - Intermediate Python and Pandas\3. Storytelling Through Data Visualization\1. Improving Plot Aesthetics.py
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Data Analyst in Python\Step 6 - Advanced Topics in Data Analysis\2. Git and Version Control\1. Introduction to Git.sh
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Data Analyst in Python\Step 3 - The Command Line\2. Text Processing in the Command Line\4. Redirection and Pipelines.sh
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Data Analyst in Python\Step 6 - Advanced Topics in Data Analysis\2. Git and Version Control\3. Git Branches.sh
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Data Analyst in R\Step 4 - Working with Data Sources\1. SQL Fundamentals\3. Group Summary Statistics.sql
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Data Analyst in R\Step 1 - Introduction to R\1. Introduction to Data Analysis in R\1. Introduction to Programming in R.r
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Data Analyst in Python\Step 4 - Working with Data Sources\1. SQL Fundamentals\1. Introduction to SQL.sql
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Data Analyst in R\Step 1 - Introduction to R\1. Introduction to Data Analysis in R\3. Logical Expressions in R.r
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Data Analyst in Python\Step 2 - Intermediate Python and Pandas\3. Storytelling Through Data Visualization\3. Conditional Plots.py
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Data Analyst in R\Step 4 - Working with Data Sources\2. Intermediate SQL in R\1. Joining Data in SQL.sql
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Data Analyst in R\Step 4 - Working with Data Sources\1. SQL Fundamentals\4. Subqueries.sql
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Data Analyst in R\Step 3 - Data Cleaning in R\2. Data Cleaning in R Advanced\4. Working with Missing Data.r
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Data Analyst in R\Step 3 - Data Cleaning in R\2. Data Cleaning in R Advanced\2. Advanced Regular Expressions.r
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Data Analyst in R\Step 1 - Introduction to R\4. Specialized Data Processing in R Strings and Dates\3. The Map Function in R.r
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Data Analyst in R\Step 1 - Introduction to R\3. Control Flow, Iteration and Functions in R\1. Control Flow in R.r
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Data Analyst in Python\Step 2 - Intermediate Python and Pandas\1. Pandas and NumPy Fundamentals\4. Exploring Data with pandas Fundamentals.py
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