Mathematics and Statistics
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Data analysis is an essential skill in today's world, as it allows us to gain valuable insights and make informed decisions. However, simply creating visually appealing graphs is not enough. We need to be able to distinguish between outliers and meaningful patterns in order to draw reliable conclusions. In this comprehensive course, we will teach you how to effectively examine datasets using a rigorous approach. By doing so, you will be able to provide clear and definitive answers to your research questions. Throughout the course, you will acquire a diverse set of statistical tests and learn how to apply them accurately. Additionally, you will gain a deep understanding of how to interpret the results of these tests and effectively address their limitations. To enhance your learning experience, we will utilize real-world examples, such as Olympic athlete data and comparisons between different continents. By exploring these datasets, you will gain practical experience in analyzing and interpreting data, enabling you to confidently tackle similar challenges in your professional endeavors. By the end of this course, you will possess the skills and knowledge necessary to conduct thorough and reliable data analysis. Whether you are a researcher, analyst, or decision-maker, this course will equip you with the tools needed to make data-driven decisions with confidence.
by DataCamp
Learn about experimental design, and how to explore your data to ask and answer meaningful questions...
by DataCamp
In this course you'll learn techniques for performing statistical inference on numerical data.
by DataCamp
Learn the basics of model validation, validation techniques, and begin creating validated and high p...
by DataCamp
Learn the fundamentals of working with big data with PySpark.
by DataCamp
Learn how to clean data with Apache Spark in Python.
by DataCamp
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
by DataCamp
This introductory course will help you hone the skills to build effective, performant, and reliable...
by DataCamp
Learn to use Python for financial analysis using basic skills, including lists, data visualization,...
by DataCamp
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful softw...
by DataCamp
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create ca...