Data Science Templates
Boost your programming skills with free SQL, R, Excel, and Python templates and create top-notch projects for your portfolio.Accelerate your workflow with code-ready data science templates from 365 Data Science instructors—designed to enhance efficiency in your programming projects.
Discover a myriad of valuable resources—from a time-saving data science cheat sheet to data analysis and visualization templates in Excel and ready-to-use SQL, R, and Python coding shortcuts.
Whether you’re unsure how to approach a task or work on a time-sensitive project, these templates are designed to streamline your work and enhance productivity.
Working with Format Codes in Python
This template shows how to use the format codes. It demonstrates the combination of the Python .strftime() method and the format codes for indicating separate date and time elements. Other related topics you might be interested in are Timestamps in Python, Converting Datetime Objects into Strings in Python, Replacing the Values of Datetime Objects in Python, and Displaying Time Elements in Python. The Working with Format Codes in Python template is among the topics covered in detail in the 365 Data Science program.
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Timestamps in Python
This is a template demonstrating how to work with both date and time values in the form of a timestamp. Other related topics you might be interested in are Attributes of the Python Time class , Datetime Values in Python, Attributes of the Python Time Class, Working with Dates and Times Simultaneously and Converting Strings into Datetime Objects in Python. The Timestamps in Python template is among the topics covered in detail in the 365 Data Science program.
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Converting Datetime Objects into Strings in Python
This template shows how to convert datetime objects into strings. It demonstrates the application of the Python .strftime() method in a combination with the format codes. Other related topics you might be interested are Importing the Datetime Module in Python, Datetime Values in Python, Attributes of the Python Time Class, Estimating the Difference between Two Dates - timedelta Python, and Converting Strings into Datetime Objects in Python. The Converting Datetime Objects into Strings in Python template is among the topics covered in detail in the 365 Data Science program.
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Replacing the Values of Datetime Objects in Python
This template shows how to replace separate elements in a datetime object. It demonstrates the application of the .replace() method. Other related topics you might be interested in are Displaying Dates in Python, Datetime Values in Python, Getting the Date of the Week in Python, Displaying Time Elements in Python, Attributes of the Python Time Class, and Estimating the Difference between Two Dates - timedelta Python. The Replacing the Values of Datetime Objects in Python template is among the topics covered in detail in the 365 Data Science program.
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Working with Dates and Times Simultaneously in Python
This template shows how to use the 'datetime' class and manipulate date and time values simultaneously. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Displaying Dates in Python, Displaying Time in Python, Attributes of the Python Time Class, and Estimating the Difference between Two Dates - timedelta Python. The Working with Dates and Times Simultaneously in Python template is among the topics covered in detail in the 365 Data Science program.
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Displaying Time Elements in Python
This is a template that shows how can we display single elements from a time value using a function. Single elements can be microseconds, seconds, minutes, and hours. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Attributes of the Python Date Class, Displaying Time in Python, and Attributes of the Python Time Class. The Displaying Time Elements in Python template is among the topics covered in detail in the 365 Data Science program.
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Attributes of the Python Time Class
This is a template demonstrating the application of the 'time' class. It shows how to display time values with the attributes of the class and how to display time in a user-friendly form. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Attributes of the Python Date Class, Displaying Dates in Python and Estimating the Difference between Two Dates - timedelta Python. The Attributes of the Python Time Class template is among the topics covered in detail in the 365 Data Science program.
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Displaying Time in Python
This is a template demonstrating the implementation of the 'time' class and the way time values can be displayed like on a real clock. The 'time' class is part of the datetime module. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Attributes of the Python Date Class, Displaying Dates in Python and Estimating the Difference between Two Dates - timedelta Python. The Displaying Time in Python template is among the topics covered in detail in the 365 Data Science program.
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Getting the Date of the Week in Python
This is a template demonstrating how we can estimate the day of the week with the help of the .weekday() function - part of the date class from the datetime module. The function returns an integer corresponding to the day of the week. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Attributes of the Python Date Class, Displaying Time in Python. The Getting the Date of the Week in Python template is among the topics covered in detail in the 365 Data Science program.
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Estimating the Difference between Two Dates - timedelta Python
This is a template demonstrating how we can estimate the duration between two dates in Python. It introduces the use of the class 'timedelta'. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Displaying Dates in Python, Attributes of the Python Date Class. The Estimating the Difference between Two Dates template is among the topics covered in detail in the 365 Data Science program.
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Attributes of the Python Date Class
The Attributes of the Python Date Class demonstrates the use of the attributes of the date class from the datetime module. It shows how to display the separate date elements. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Displaying Dates in Python, Displaying Time in Python. The Attributes of the Python Date Class template is among the topics covered in detail in the 365 Data Science program.
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Displaying Dates in Python
This is a template demonstrating how to convert values into datetimes and display these values in a user-friendly form. It includes the application of the .strptime() method from the datetime module. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Displaying Dates in Python, Displaying Time in Python.The Displaying Dates in Python template is among the topics covered in detail in the 365 Data Science program.
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Importing the Datetime Module in Python
This template demonstrates the technique of importing the Python datetime module and its separate classes for working with dates and times. Other related topics you might be interested in are Datetime Values in Python, Displaying Dates in Python, Displaying Dates in Python, Displaying Time in Python. The Importing the Datetime Module in Python template is among the topics covered in detail in the 365 Data Science program.
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Bar and Line Chart with Matplotlib in Python
This template shows a combination chart, showing the frequency of Python users among participants from a KDNuggets annual survey across several consecutive years, represented with a bar and line chart in Python's matplotlib library. Some other related topics you might be interested in are Bar chart in matplotlib Python, Line chart in matplotlib Python, Regression scatter plot with seaborn matplotlib in Python, Regression Scatter Plot with seaborn regplot in Python. The Bar and Line Chart with Matplotlib in Python template is among the topics covered in detail in the 365 Data Science program.
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Model Accuracy in Python
In this template, we classify points using the logistic regression method provided by statsmodels. Afterwards, we create a confusion matrix that makes it easier to see the correctly and incorrectly classified classes. Some other related topics you might be interested in are Logistic Regression with statsmodels in Python, Confusion Matrix with statsmodels in Python, Logistic Regression Curve in Python. The Model Accuracy in Python template is among the topics covered in detail in the 365 Data Science program.
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Logistic Regression Curve in Python
In this template, we demonstrate how to create a logistic regression using statsmodels. Then, we plot the resulting regression curve onto the data points to visualize the result. Some other related topics you might be interested in are Logistic Regression with statsmodels in Python, Confusion Matrix with Statsmodels in Python, Model Accuracy in Python. You can now download the Python template for free. The Logistic Regression Curve in Python template is among the topics covered in detail in the 365 Data Science program.
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Downloading Files with Requests in Python
The following template shows how one can download large files to their computer through Python without wasting too many resources. This is done with the help of only one library - requests. Some other related topics you might be interested in are Searching for Тags with BeautifulSoup - find and find_all in Python, Extracting All Links from a Webpage Using BeautifulSoup in Python and Extracting Tables from a Webpage with Pandas in Python. You can now download the Python template for free. The Downloading Files with Requests in Python template is among the topics covered in detail in the 365 Data Science program.
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Extracting Tables from a Webpage with Pandas in Python
This is a template exploring how one can extract the contents of tables on websites straight to a Pandas data frame. This is done through Pandas itself, so there are no additional libraries required. Some other related topics you might be interested in are, Incorporating Commonly Used HTML Tags in Python, Searching by Attributes with Beautiful Soup in Python is, Extracting HTML attributes using BeautifulSoup in Python and Setting up Beautiful Soup and Choosing a Parser in Python. You can now download the Python template for free. The Extracting Tables from a Webpage with Pandas in Python template is among the topics covered in detail in the 365 Data Science program.
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Extracting All Links from a Webpage Using Beautiful Soup in Python
This is a template demonstrating how one can extract the attributes from an HTML tag using BeautifulSoup. HTML attributes are a tool to specify additional information regarding the tag and/or change its behavior. Some other related topics you might be interested in are, Incorporating Commonly Used HTML Tags in Python, Searching by Attributes with Beautiful Soup in Python is and Setting up Beautiful Soup and Choosing a Parser in Python. You can now download the Python template for free. The Extracting All Links from a Webpage Using Beautiful Soup in Python template is among the topics covered in detail in the 365 Data Science program.
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Navigating the HTML Using Beautiful Soup in Python Template
This is a template demonstrating different Beautiful Soup methods for navigating the HTML tree. There are multiple ways to achieve this - finding the contents of a tag, its children, or its parent. Some other related topics you might be interested in are Incorporating URL Parameters into a GET Request, Sending a GET request in Python, Commonly Used HTML Tags in Python, Searching by Attributes with Beautiful Soup in Python is and Setting up Beautiful Soup and Choosing a Parser in Python. You can now download the Python template for free. The Navigating the HTML using Beautiful Soup in Python template is among the topics covered in detail in the 365 Data Science program.
Learn MoreExplore our top data science templates, recommended by our students and expert team of instructors—free to download.
Data Science Shortcuts Cheat Sheet
Discover how to boost your productivity using this data science shortcuts cheat sheet with over 2,000 workarounds in Python IDEs, such as Jupyter, Spyder Rodeo, PyCharm, and Atom, compatible with various operating systems. Amplify your proficiency in R with R Studio shortcuts, streamline MATLAB operations, and manage databases efficiently with SQL shortcuts. Enhance data visualization in Tableau, easily manage Excel spreadsheets, and conduct statistical analyses seamlessly in SPSS and SAS. This data science shortcuts cheat sheet lets you speed up your everyday tasks while achieving your goals.
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Obtaining Descriptive Statistics about the Data in Python
The following template demonstrates how to obtain an overview about the dataset. It shows the application of the .describe() method on a pandas Series object. Some other related topics you might be interested in are Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, Data Selection in Python, and Common Attributes for Working with DataFrames in Python. The Obtaining Descriptive Statistics about the Data in Python template is among the topics covered in detail in the 365 Program.
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Normal Distribution in Excel Template
This Normal Distribution in Excel template demonstrates that the sum of 2 randomly thrown dice is normally distributed. Open the .xlsx file with Microsoft Excel. Study the structure of the file and experiment with different values. Some other related topics you might be interested to explore are Positive Skew in Excel, Zero Skew in Excel, Negative Skew in Excel, Uniform Distribution in Excel, Standard Normal Distribution in Excel You can now download the Excel template for free. Normal Distribution in Excel is among the topics covered in detail in the 365 Data Science program
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Common Attributes for Working with DataFrames in Python
The following template demonstrates the application of important pandas attributes when cleaning, preprocessing, and analyzing a dataset. Some other related topics you might be interested in are Data Selection in Python, Indexing with.iloc[] and .loc[] in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, and Using Pandas Methods for Working with Series Objects in Python. The Common Attributes for Working with DataFrames in Python template is among the topics covered in detail in the 365 Program.
Learn MoreMost Popular Templates
Explore our top data science templates, recommended by our students and expert team of instructors—free to download.
Data Science Shortcuts Cheat Sheet
Discover how to boost your productivity using this data science shortcuts cheat sheet with over 2,000 workarounds in Python IDEs, such as Jupyter, Spyder Rodeo, PyCharm, and Atom, compatible with various operating systems. Amplify your proficiency in R with R Studio shortcuts, streamline MATLAB operations, and manage databases efficiently with SQL shortcuts. Enhance data visualization in Tableau, easily manage Excel spreadsheets, and conduct statistical analyses seamlessly in SPSS and SAS. This data science shortcuts cheat sheet lets you speed up your everyday tasks while achieving your goals.
Learn MoreObtaining Descriptive Statistics about the Data in Python
The following template demonstrates how to obtain an overview about the dataset. It shows the application of the .describe() method on a pandas Series object. Some other related topics you might be interested in are Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, Data Selection in Python, and Common Attributes for Working with DataFrames in Python. The Obtaining Descriptive Statistics about the Data in Python template is among the topics covered in detail in the 365 Program.
Learn MoreNormal Distribution in Excel Template
This Normal Distribution in Excel template demonstrates that the sum of 2 randomly thrown dice is normally distributed. Open the .xlsx file with Microsoft Excel. Study the structure of the file and experiment with different values. Some other related topics you might be interested to explore are Positive Skew in Excel, Zero Skew in Excel, Negative Skew in Excel, Uniform Distribution in Excel, Standard Normal Distribution in Excel You can now download the Excel template for free. Normal Distribution in Excel is among the topics covered in detail in the 365 Data Science program
Learn MoreCommon Attributes for Working with DataFrames in Python
The following template demonstrates the application of important pandas attributes when cleaning, preprocessing, and analyzing a dataset. Some other related topics you might be interested in are Data Selection in Python, Indexing with.iloc[] and .loc[] in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, and Using Pandas Methods for Working with Series Objects in Python. The Common Attributes for Working with DataFrames in Python template is among the topics covered in detail in the 365 Program.
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