Save hours of browsing through the Internet and accelerate your workflow with code-ready templates for your programming projects. Personally crafted by 365 Data Science instructors, these templates bring a surprising efficiency level to your work process.

Templatespython

Removing Outliers with pandas in Python Template

The Removing Outliers with pandas in Python shows how to detect and remove samples that skew a dataset and might lead to building an inaccurate model. Some other related topics you might be interested are Removing Outliers with pandas in Python, Dummy Variables with pandas in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through standardization with sklearn in Python, Linear Regression Model in Python – residuals.
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The Removing Outliers with pandas in Python template is among the topics covered in detail in the 365 Data Science program.

Removing Missing Values with pandas in Python Template

The Removing Missing Values with pandas in Python shows how to detect and remove samples from a dataset that contain missing values. Some other related topics you might be interested are Removing Outliers with pandas in Python, Dummy Variables with pandas in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through standardization with sklearn in Python, Linear Regression Model in Python – residuals.
You can now download the Python template for free.
The Removing Missing Values with pandas in Python template is among the topics covered in detail in the 365 Data Science program.

Train and Test Split with sklearn in Python Template

The Train and Test Split with sklearn in Python template shows how to prevent overtraining of the machine learning algorithm by using the convenient train_test_split() method provided by sklearn to split a database into two parts - a training and a testing dataset. Some other related topics you might be interested are Regression Summary Table with sklearn in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through Standardization with sklearn in Python, Predictions with Standardized Coefficients with sklearn in Python.
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The Train and Test Split with sklearn in Python template is among the topics covered in detail in the 365 Data Science program.

Predictions with Standardized Coefficients with sklearn in Python Template

The Predictions with Standardized Coefficients with sklearn in Python shows how to predict values using a model that was fit on standardized inputs. First, we solve a multiple linear regression problem with two continuous features using the machine learning package sklearn, after which we apply standardization. Some other related topics you might be interested are Predictions with statsmodels in Python, Feature Selection through Standardization with sklearn in Python, Visualizing Linear Regressions with matplotlib in Python.
You can now download the Python template for free.
The Predictions with Standardized Coefficients with sklearn in Python template is among the topics covered in detail in the 365 Data Science program.

The Correlation in Excel template demonstrates how the correlation coefficient can be calculated in Excel. Some other related topics you might be interested in are Calculating the Variance in Excel, Standard Deviation in Excel, Coefficient of Variation in Excel, Covariance in Excel.
You can now download the Excel template for free.
The Correlation in Excel template is among the topics covered in detail in the 365 Data Science program.

The Covariance in Excel template demonstrates how the covariance metric can be calculated in Excel. Some other related topics you might be interested in are Calculating the Variance in Excel, Standard Deviation in Excel, Coefficient of Variation in Excel, Correlation in Excel
You can now download the Excel template for free.
The Covariance in Excel template is among the topics covered in detail in the 365 Data Science program.

The following Standard Deviation in Excel template introduces the relevant Excel syntax for calculating sample standard deviation. Some other related topics you might be interested in are Calculating the variance in Excel, Coefficient of Variation in Excel, Covariance in Excel, Correlation in Excel
You can now download the Excel template for free.
Standard Deviation in Excel template is among the topics covered in detail in the 365 Data Science program.

The following Calculating the Variance in Excel template demonstrates the difference between sample variance and population variance. It introduces the relevant Excel syntax for calculating these 2 metrics. Some other related topics you might be interested in are Standard Deviation in Excel, Coefficient of Variation in Excel, Covariance in Excel, Correlation in Excel.
You can now download the Excel template for free.
Calculating the Variance in Excel template is among the topics covered in detail in the 365 Data Science program.

The following Negative Skew in Excel template includes a sample dataset resulting in a negatively (left) skewed frequency distribution graph. Some other related topics you might be interested in are Positive Skew in Excel, Zero Skew in Excel, Normal Distribution in Excel, Standard Normal Distribution in Excel.
You can now download the Excel template for free.
Negative Skew in Excel template is among the topics covered in detail in the 365 Data Science program.

The following Zero Skew in Excel template includes a sample dataset resulting in a zero skewed (no skew) frequency distribution graph Some other related topics you might be interested in are Positive Skew in Excel, Negative Skew in Excel, Normal Distribution in Excel, Standard Normal Distribution in Excel.
You can now download the Excel template for free.
Zero Skew in Excel template is among the topics covered in detail in the 365 Data Science program.

The Positive Skew in Excel template includes a sample dataset resulting in a positively (right) skewed frequency distribution graph. Some other related topics you might be interested in are Zero Skew in Excel, Negative Skew in Excel, Normal Distribution in Excel, Standard Normal Distribution in Excel.
You can now download the Excel template for free.
Positive Skew in Excel template is among the topics covered in detail in the 365 Data Science program.

The Calculating the Mode in Excel template shows how to apply the Excel function corresponding to finding the mode of a set of numbers. Some other related topics you might be interested in are Calculating the Mean in Excel, Calculating the Median in Excel, Covariance in Excel, and Correlation in Excel.
You can now download the Excel template for free.
Calculating the Mode in Excel template is among the topics covered in detail in the 365 Data Science program.

The Calculating the Median in Excel template shows how to apply the Excel function corresponding to finding the median of a set of numbers. Some other related topics you might be interested in are Calculating the Mean in Excel, Calculating the Mode in Excel, Covariance in Excel, and Correlation in Excel.

The Calculating the Mean in Excel template shows how to apply the Excel function corresponding to finding the mean of a set of numbers. Some other related topics you might be interested in are Pareto Diagram in Excel, Side-by-Side Bar Chart in Excel, Normal Distribution in Excel, Stacked Area Chart in matplotlib Python, Bar and Line chart in Excel
You can now download the Excel template for free.
Calculating the Mean in Excel template is among the topics covered in detail in the 365 Data Science program.

The Export Data as csv in R template shows how to export a data set from R and save it as an csv file. The file in question contains an employee database. Some other related topics you might be interested in are Calculating Standard Deviation in R, Calculating Data Mean in R, Calculating Standard Deviation of Data in R, Exploring Data Skewness in R.
You can now download the R template for free.
Export Data as csv in R template is among the topics covered in detail in the 365 Data Science program.

The Adding a New Column to a Data Frame in R template shows how to create a dataframe in R and add additional columns to it. We create a Star Wars data frame containing movies and stats and include two additional columns to extend the dataframe. Some other related topics you might be interested are Adding a New Row to a Data Frame in R, Dealing with Missing Data in R, Read a csv File into R, Export Data as csv in R.
You can now download the R template for free.
Adding a New Column to a Data Frame in R template is among the topics covered in detail in the 365 Data Science program.

The Adding a New Row to a Data Frame in R template shows how to add a row in an R data frame. The file shows how to create a data frame object in R from scratch, containing information and stats about movies and then shows how to extend the data frame by adding new columns. Some other related topics you might be interested are Adding a New Column to a Data Frame in R, Dealing with Missing Data in R, Read a csv File into R, Export Data as csv in R.
You can now download the R template for free.
Adding a New Row to a Data Frame in R template is among the topics covered in detail in the 365 Data Science program.

The Read a csv File in R template shows how to import a csv file into R with the help of the read csv() function. The file in question contains a real estate data set detailing information on different properties. Some other related topics you might be interested are Scatter plot with ggplot2 in R, Regression Scatter with ggplot2 in R, and Correlation between Two Variables in R. You can now download the R template for free.
The Read a csv File in R template is among the topics covered in detail in the 365 Data Science program.

The Linear Regression in R template shows how to perform a linear regression in R using lm() on real estate property data. Some other related topics you might be interested are Scatter plot with ggplot2 in R, Regression Scatter with ggplot2 in R, and Correlation between Two Variables in R.
You can now download the R template for free.
Linear Regression in R template is among the topics covered in detail in the 365 Data Science program.

The Correlation between Two Variables in R template shows how to calculate the correlation coefficient between two variables in a dataset with the help of the corr() function. Some other related topics you might be interested in checking are Calculating Data Variance in R, Calculating Data Mean in R, Calculating Standard Deviation of Data in R, and Exploring Data Skewness in R.
You can now download the R template for free. Correlation between Two Variables in R is among the topics covered in detail in the 365 Data Science program.

Check out our most helpful downloadable resources according to 365 Data Science students and our expert team of instructors.

Templatespython

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.

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.

Linear Regression with statsmodels in Python Template

The following Linear Regression with Statsmodels in Python free .ipynb template shows how to solve a simple linear regression problem using the Ordinary Least Squares statsmodels library. We are going to examine the causal relationship between the independent variable in the dataset - SAT score of a student, and the dependent variable -the GPA score. This database is read with the help of the pandas library. Download and unzip the .zip file in a new folder. Inside the folder you will find a .csv and a .ipynb file. The first one contains the database and the second one contains the Python code. Open the .ipynb file using Jupyter notebook.

Confusion Matrix with statsmodels in Python Template

In this Confusion Matrix with statsmodels in Python template, we will show you how to solve a simple classification problem using the logistic regression algorithm. Then, we will create a python confusion matrix of the model using the statsmodels library and make the table more beautiful and readable with the help of the pandas library. Some other related topics you might be interested in are Logistic regression with statsmodels in Python, Logistic Regression Curve in Python, Model Accuracy in Python.
You can now download the Python template for free.
The Confusion Matrix with statsmodels in Python template is among the topics covered in detail in the 365 Data Science program.

Check out our most helpful downloadable resources according to 365 Data Science students and our expert team of instructors.

Templatespython

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.

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.

Linear Regression with statsmodels in Python Template

The following Linear Regression with Statsmodels in Python free .ipynb template shows how to solve a simple linear regression problem using the Ordinary Least Squares statsmodels library. We are going to examine the causal relationship between the independent variable in the dataset - SAT score of a student, and the dependent variable -the GPA score. This database is read with the help of the pandas library. Download and unzip the .zip file in a new folder. Inside the folder you will find a .csv and a .ipynb file. The first one contains the database and the second one contains the Python code. Open the .ipynb file using Jupyter notebook.

Confusion Matrix with statsmodels in Python Template

In this Confusion Matrix with statsmodels in Python template, we will show you how to solve a simple classification problem using the logistic regression algorithm. Then, we will create a python confusion matrix of the model using the statsmodels library and make the table more beautiful and readable with the help of the pandas library. Some other related topics you might be interested in are Logistic regression with statsmodels in Python, Logistic Regression Curve in Python, Model Accuracy in Python.
You can now download the Python template for free.
The Confusion Matrix with statsmodels in Python template is among the topics covered in detail in the 365 Data Science program.