Kursus
Introduction to Statistics
- DasarTingkat Keterampilan
- 4.6+
- 9.1K
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Probabilitas & Statistik
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Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
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Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.
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Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
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Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
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Learn how to create informative and attractive visualizations in Python using the Seaborn library.
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You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
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Learn how to create one of the most efficient ways of storing data - relational databases!
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Learn how to create, customize, and share data visualizations using Matplotlib.
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Learn the key concepts of data modeling on Power BI.
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Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.
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Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
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Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
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Learn the key components of building a strong data culture within an organization.
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Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
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Discover branches and remote repos for version control in collaborative software and data projects using Git!
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