The Data Scientist’s Toolbox - Coursera
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with.
Data Science Specialization (JHU) - Coursera
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.
Tools for Data Science
In this module, you will learn about the different types and categories of tools that data scientists use and popular examples of each. You will also become familiar with Open Source, Cloud-based, and Commercial options for data science tools.
Python for Data Science - Coursera
Understanding the importance of Python as a data science tool is crucial for anyone aspiring to leverage data effectively. This course is designed to equip you with the essential skills and knowledge needed to thrive in the field of data science.
What Is Data Science? Definition, Examples, Jobs, and More
Oct 23, 2024 · Data science combines statistical tools, analytical methods, machine learning algorithms, artificial intelligence, and domain expertise to gain insights into your data. You can use this to inform decision-making and next steps.
Introduction to R Programming for Data Science - Coursera
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to …
What Is Data Science? Definition, Examples, Jobs, and More
Nov 8, 2024 · Data scientists construct questions around specific data sets and then use tools such as data analytics, machine learning, and artificial intelligence to find patterns, create predictive models, and develop insights that guide business decision-making.
Data Science: Foundations using R Specialization - Coursera
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research.
Foundations: Data, Data, Everywhere Course (Google) | Coursera
- Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process.
IBM Data Science Professional Certificate - Coursera
This Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs. You'll also have the option to learn how generative AI tools and techniques are used in data science.