7 Related Courses
for Linkedin Learning Data Analysis CoursesR for Data Science: Lunchbreak Lessons
This weekly series provides an introduction to the R programming language, covering language features, development tools, and libraries to help make programming more efficient. Take a break from your day and learn R with these Lunchbreak Lessons. View all
Integrating Tableau and R for Data Science
This course provides an overview of how to combine Tableau and R to gain insights from data. Learn how to integrate these platforms and when to use each to maximize the potential of data science for your organization. View all
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Tableau and R for Analytics Projects
This course teaches how to use the powerful combination of Tableau and R to analyse and present data more effectively. Students will gain an understanding of the analytical capabilities of R and the visualisation power of Tableau. View all
SQL for Exploratory Data Analysis Essential Training
This course provides an introduction to using SQL for exploratory data analysis. Through hands-on exercises, learners will gain the skills to use SQL to explore and understand data sets, preparing them for data science and machine learning. View all
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Learning Excel: Data-Analysis
This course on Learning Excel: Data-Analysis provides an in-depth look at data analysis. It covers topics such as calculating mean and median values, analyzing data using variance and standard deviation, working with sample data, minimizing errors, visualizing data with histograms charts and more, testing hypotheses, measuring covariance and correlation, and performing Bayesian analysis. With this course, users will gain the skills to effectively analyze data and make informed decisions. It is an ideal course for anyone looking to gain a better understanding of data analysis and Excel. View all
Learning Excel: Data Analysis
This course on Learning Excel: Data Analysis provides an in-depth look at the fundamentals of data analysis. It covers topics such as the differences between the mean, median, and mode, the connection between variance and standard deviation, how to choose a nondirectional hypothesis, the distinction between COVARIANCEP and COVARIANCES, and the relationship between them. Additionally, the course examines Bayes rule and its implications. With this course, users will gain a comprehensive understanding of the fundamentals of data analysis and be able to apply them to their own projects. View all
Learning Data Analytics
This course provides an introduction to data analytics, teaching users how to identify and interpret data sets. It covers a range of topics, from creating workflow diagrams and cleaning data to joining data sets for reporting. With this course, users will gain the skills to identify the data they need, as well as the data they don't have, and summarize it in a meaningful way. By the end of the course, users will have the knowledge to confidently analyze data and make informed decisions. View all
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