Engineering and Technology
An introduction to data science with no coding involved.
This course offers a comprehensive introduction to the field of data science, explaining its popularity and why it has been hailed as the sexiest job of the 21st century by the Harvard Business Review. Designed for non-technical individuals, it provides a thorough understanding of this rapidly growing and exciting field, without requiring any coding skills. Through practical exercises, participants will explore various data scientist roles, as well as foundational concepts such as A/B testing, time series analysis, and machine learning. Additionally, they will learn how data scientists extract valuable insights from real-world data. Despite the presence of buzzwords, this course aims to demystify data science and equip learners with highly sought-after skills in this field. It emphasizes that data science is accessible to everyone and encourages individuals to embark on this learning journey to discover its immense potential.
by DataCamp
An introduction to data science with no coding involved.
by DataCamp
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
by DataCamp
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and mor...
by DataCamp
Learn about data science for managers and businesses and how to use data to strengthen your organiza...
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Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R w...
by DataCamp
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour...
by DataCamp
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful an...
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Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world us...
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Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples,...
by DataCamp
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply t...