course
Introduction to Sigma
- PodstawowyPoziom umiejętności
- 4.8+
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Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.
Manipulacja danymi
Obejrzyj krótkie filmy prowadzone przez doświadczonych instruktorów, a następnie przećwicz zdobytą wiedzę, korzystając z interaktywnych ćwiczeń w przeglądarce.
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Kontynuując, akceptujesz nasze Warunki korzystania, naszą Politykę prywatności oraz fakt, że Twoje dane są przechowywane w USA.course
Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.
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Transform almost any dataset into a tidy format to make analysis easier.
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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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Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
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Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
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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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Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
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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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Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
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Analyze text data in R using the tidy framework.
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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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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 use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
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Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
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This course will show you how to combine and merge datasets with data.table.
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Learn how to segment customers in Python.
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Learn how to identify, analyze, remove and impute missing data 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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Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
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Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
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