Joining Data in SQL
Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
5 hoursData ManipulationDr. Chester Ismaycourses
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59 results
Data Manipulation with pandas
Use the world’s most popular Python data science package to manipulate data and calculate summary statistics.
4 hoursData ManipulationRichie Cottoncourses
Joining Data with pandas
Learn to combine data from multiple tables by joining data together using pandas.
4 hoursData ManipulationAaren Stubberfieldcourses
Introduction to NumPy
Learn how to use NumPy arrays in Python to perform mathematical operations and wrangle data with the best of them!
4 hoursData ManipulationIzzy Webercourses
Data Analysis in Excel
Learn how to analyze data in Excel.
4 hoursData ManipulationJen Brickercourses
Introduction to DAX in Power BI
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
2 hoursData ManipulationJess Ahmetcourses
Exploratory Data Analysis in SQL
Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.
4 hoursData ManipulationChristina Maimonecourses
PostgreSQL Summary Stats and Window Functions
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
4 hoursData ManipulationFernando Gonzalez Pradacourses
Data Manipulation with dplyr
Learn to transform and manipulate your data using dplyr.
4 hoursData ManipulationDataCamp Content Creatorcourses
SQL Foundations
Harness the power of relational databases by learning how they are structured and writing simple SQL commands to start analyzing data.
2 hoursData ManipulationIzzy Webercourses
Functions for Manipulating Data in PostgreSQL
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
4 hoursData ManipulationBrian Piccolocourses
Joining Data with dplyr
Learn to combine data across multiple tables to answer more complex questions with dplyr.
4 hoursData ManipulationDataCamp Content Creatorcourses
Data Preparation in Power BI
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
3 hoursData ManipulationMaarten Van den Broeckcourses
Analyzing Police Activity with pandas
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
4 hoursData ManipulationKevin Markhamcourses
Data Modeling in Power BI
Learn the key concepts of data modeling on Power BI.
3 hoursData ManipulationMaarten Van den Broeckcourses
Pivot Tables in Spreadsheets
Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.
4 hoursData ManipulationFrank Sumanskicourses
Manipulating Time Series Data in Python
In this course you'll learn the basics of working with time series data.
4 hoursData ManipulationStefan Jansencourses
Data Transformation in Power BI
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
3 hoursData ManipulationMaarten Van den Broeckcourses
DAX Functions in Power BI
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
3 hoursData ManipulationMaarten Van den Broeckcourses
Regular Expressions in Python
Learn about string manipulation and become a master at using regular expressions.
4 hoursData ManipulationMaria Eugenia Inzaugaratcourses
Intermediate Data Modeling in Power BI
Master data modeling in Power BI.
3 hoursData ManipulationMaarten Van den Broeckcourses
Time Series Analysis in SQL Server
Explore ways to work with date and time data in SQL Server for time series analysis
5 hoursData ManipulationKevin Feaselcourses
Intermediate DAX in Power BI
Discover a wide range of DAX calculations and learn how to use them in in Microsoft Power BI.
3 hoursData ManipulationMaarten Van den Broeckcourses
Introduction to Databases in Python
In this course, you'll learn the basics of relational databases and how to interact with them.
4 hoursData ManipulationJason Myerscourses
Data Processing in Shell
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
4 hoursData ManipulationSusan Suncourses
Dealing with Missing Data in Python
Learn how to identify, analyze, remove and impute missing data in Python.
4 hoursData ManipulationSuraj Donthicourses
Reshaping Data with pandas
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
4 hoursData ManipulationMaria Eugenia Inzaugaratcourses
Trend Analysis in Power BI
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
3 hoursData ManipulationMaarten Van den Broeckcourses
Data Connections in Power BI
Discover the different ways you can enhance your Power BI data importing skills.
2 hoursData ManipulationIason Prassidescourses
Functions for Manipulating Data in SQL Server
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
4 hoursData ManipulationAna Voicucourses
Manipulating Time Series Data with xts and zoo in R
The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.
4 hoursData ManipulationDataCamp Content Creatorcourses
Transactions and Error Handling in SQL Server
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
4 hoursData ManipulationMiriam Antonacourses
Introduction to Text Analysis in R
Analyze text data in R using the tidy framework.
4 hoursData ManipulationMarc Dotsoncourses
Introduction to MongoDB in Python
Learn to manipulate and analyze flexibly structured data with MongoDB.
4 hoursData ManipulationDonny Winstoncourses
Analyzing Social Media Data in Python
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
4 hoursData ManipulationAlex Hannacourses
Reshaping Data with tidyr
Transform almost any dataset into a tidy format to make analysis easier.
4 hoursData ManipulationJeroen Boeyecourses
Working with Data in the Tidyverse
Learn to work with data using tools from the tidyverse, and master the important skills of taming and tidying your data.
4 hoursData ManipulationAlison Hillcourses
Data Manipulation with data.table in R
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
4 hoursData ManipulationMatt Dowlecourses
Conditional Formatting in Spreadsheets
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
4 hoursData ManipulationAdam Steinfurthcourses
Introduction to Spark SQL in Python
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
4 hoursData ManipulationMark Plutowskicourses
Intermediate SQL Queries
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
4 hoursData ManipulationJasmin Ludolfcourses
Introduction to Oracle SQL
Learn how to import and manipulate data with Oracle SQL.
4 hoursData ManipulationHadrien Lacroixcourses
Biomedical Image Analysis in Python
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
4 hoursData ManipulationStephen Baileycourses
Feature Engineering with PySpark
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
4 hoursData ManipulationJohn Hoguecourses
Working with Geospatial Data in Python
This course will show you how to integrate spatial data into your Python Data Science workflow.
4 hoursData ManipulationJoris Van den Bosschecourses
SQL for Joining Data
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
4 hoursData ManipulationMaham Khancourses
Joining Data with data.table in R
This course will show you how to combine and merge datasets with data.table.
4 hoursData ManipulationScott Ritchiecourses
Working with Categorical Data in Python
Learn how to manipulate and visualize categorical data using pandas and seaborn.
4 hoursData ManipulationKasey Jonescourses
Spoken Language Processing in Python
Learn to load, transform, and transcribe human speech from raw audio files in Python.
4 hoursData ManipulationDaniel Bourkecourses
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.
4 hoursData ManipulationEmily Robinsoncourses
Analyzing Social Media Data in R
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
4 hoursData ManipulationSowmya Vivekcourses
Programming with dplyr
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
4 hoursData ManipulationDr. Chester Ismaycourses
Market Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
4 hoursData ManipulationChristopher Bruffaertscourses
Intermediate Regular Expressions in R
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
4 hoursData ManipulationAngelo Zehrcourses
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.
4 hoursData ManipulationMichał Oleszakcourses
Analyzing IoT Data in Python
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
4 hoursData ManipulationMatthias Voppichlercourses
Pandas Joins for Spreadsheet Users
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
4 hoursData ManipulationJohn Millercourses
Transactions and Error Handling in PostgreSQL
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
4 hoursData ManipulationJason Myerscourses
Time Series with data.table in R
Master time series data using data.table in R.
4 hoursData ManipulationJames Lambcourses