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Data Manipulation in Julia
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Analyzing Social Media Data in R
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Market Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Pandas Joins for Spreadsheet Users
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Programming with dplyr
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Conditional Formatting in Google Sheets
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Categorical Data in the Tidyverse
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
Analyzing IoT Data in Python
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Data Manipulation with data.table in R
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Joining Data with data.table in R
This course will show you how to combine and merge datasets with data.table.
Analyzing Police Activity with pandas
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Handling Missing Data with Imputations in R
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Time Series Analysis in PostgreSQL
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Spoken Language Processing in Python
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Feature Engineering with PySpark
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Introduction to Text Analysis in R
Analyze text data in R using the tidy framework.
Analyzing Social Media Data in Python
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Data Processing in Shell
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Data Manipulation in Alteryx
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Customer Segmentation in Python
Learn how to segment customers in Python.
Introduction to Python in Power BI
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Manipulating Time Series Data in R
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Functions for Manipulating Data in SQL Server
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
Dealing with Missing Data in Python
Learn how to identify, analyze, remove and impute missing data in Python.