Kurs
Reshaping Data with tidyr
- Orta SeviyeBeceri Seviyesi
- 4.5+
- 871
Transform almost any dataset into a tidy format to make analysis easier.
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Uzman eğitmenler tarafından yönetilen kısa videoları takip edin ve ardından tarayıcınızdaki interaktif egzersizlerle öğrendiklerinizi uygulayın.
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Devam ederek Kullanım Şartlarımızı, Gizlilik Politikamızı ve verilerinizin ABD’de saklandığını kabul etmiş olursunuz.Kurs
Transform almost any dataset into a tidy format to make analysis easier.
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Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
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Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
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Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
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Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
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Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.
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Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
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Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
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Explore ways to work with date and time data in SQL Server for time series analysis
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Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
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Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
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Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
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Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
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Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
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Analyze text data in R using the tidy framework.
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Learn how to identify, analyze, remove and impute missing data in Python.
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Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
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Learn how to segment customers in Python.
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Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
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Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
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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.
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Learn how to load, transform, and transcribe speech from raw audio files in Python.
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Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.
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In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
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