Jupyter Notebooks

Sort options

Web Applications and Command-Line Tools for Data Engineering (Coursera)

Jun 27th 2022
Web Applications and Command-Line Tools for Data Engineering (Coursera)
Course Auditing
Categories
Effort
Languages
In this fourth course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will build upon the data engineering concepts introduced in the first three courses to apply Python, Bash and SQL techniques in tackling real-world problems.

Introducción a la ciencia de datos aplicada (Coursera)

Este curso es una primera inmersión en el mundo de la ciencia de datos, en el cual el estudiante comprenderá los fundamentos de la ciencia de datos, las características de un científico de datos, las herramientas que utiliza, la metodología que se debe seguir para este estilo de proyectos, [...]

Visualizing & Communicating Results in Python with Jupyter (Coursera)

Jun 27th 2022
Visualizing & Communicating Results in Python with Jupyter (Coursera)
Course Auditing
Categories
Effort
Languages
Code and run your first Python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a foundation for presenting data using visualization tools in Jupyter Notebook. This course helps learners describe and make inferences from data, and better communicate and present [...]

Tools for Data Science (Coursera)

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages [...]

Julia Scientific Programming (Coursera)

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. [...]

Big Data Analytics Using Spark (edX)

Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform. In data science, data is called “big” if it cannot fit into the memory of a single standard laptop or workstation. The analysis of big datasets requires using a cluster of tens, hundreds or [...]

Python for Data Science (edX)

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access [...]

R Programming Basics for Data Science (edX)

Self Paced
R Programming Basics for Data Science (edX)
Course Auditing
Categories
Effort
Languages
This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language. The R language plays a critical role in data analysis and a common programming language when working in the field [...]

Introduction to Statistics for Data Science using Python (edX)

Self Paced
Introduction to Statistics for Data Science using Python (edX)
Course Auditing
Categories
Effort
Languages
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After [...]

Data Science Tools (edX)

Self Paced
Data Science Tools (edX)
Course Auditing
Categories
Effort
Languages
Learn about the most popular data science tools, including how to use them and what their features are. In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can [...]