Coursera Big Data Courses List faq

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21 Related Courses

for Coursera Big Data Courses
Free

The Data Scientist's Toolbox

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3.5/5
Coursera Coursera 1,997 1,997 learners
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Data scientists are in high demand, and this course provides an introduction to the tools and ideas they need to succeed. Learn the basics of data analysis, version control, markdown, git, GitHub, R, and RStudio in this comprehensive course. Get the skills you need to become a data scientist and start your career today. View all

Free

Big Data Integration and Processing

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4/5
Coursera Coursera 1,791 1,791 learners
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Learn how to integrate and process big data with this comprehensive course! Gain the skills to retrieve data from databases and big data management systems, identify when a big data problem needs data integration, and execute big data integration and processing on Hadoop and Spark platforms. No prior programming experience is needed. Get started today! View all

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Free

Getting and Cleaning Data

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3.5/5
Coursera Coursera 1,698 1,698 learners
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This course covers the basics of getting and cleaning data. Learn how to obtain data from the web, APIs, databases, and colleagues. Understand how to make data "tidy" and the components of a complete data set. Get the skills needed to collect, clean, and share data. View all

Free

Python Data Visualization

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5/5
Coursera Coursera 1,461 1,461 learners
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This is the final course in the Python specialization, and it builds on the knowledge acquired in the previous courses. Python Data Visualization will teach you how to install external packages, acquire data from the web, clean, process, analyze, and visualize it. You will be able to write interesting, practical, and useful programs by the end of the course. With the skills you have learned, you will be able to locate, install, and use Python packages written by others, amplifying your effectiveness and writing useful programs. View all

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Free

Introduction to Big Data

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2.5/5
Coursera Coursera 1,336 1,336 learners
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Discover the power of Big Data with this introductory course! Learn the fundamentals of the Big Data landscape, the V's of Big Data, and how to use the Hadoop framework to analyze and transform data. No prior programming experience is needed. Get started today and unlock the potential of Big Data! View all

Free

DataOps Methodology

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4.0/5
Coursera Coursera
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Get a comprehensive overview of DataOps Methodology View all

Free

Big Data Modeling and Management Systems

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5.0/5
Coursera Coursera
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This course will provide you with the skills to collect, store, and organize data using Big Data solutions. You will learn how to use various data genres and management tools, and gain an understanding of the reasons behind the evolving plethora of new big data platforms. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. At the end of this course, you will be able to design a big data information system for an online game company. View all

Free

Managing Big Data with MySQL

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4.0/5
Coursera Coursera
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This course is an introduction to managing big data with MySQL. You will learn how to use entity-relationship diagrams to display the structure of the data held within relational databases, and how to execute the most useful query and table aggregation statements for business analysts. You will also practice using them with real databases. By the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts. With this course, you will have a strong competitive advantage in the data-smitten business world. View all

Free

Introduction to Big Data

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4.0/5
Coursera Coursera
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This course is suitable for anyone who is curious about design and translating the processes and tools of design thinking into innovative opportunities. Over 5 weeks, we explore, apply and practice the design process: think, make, break and repeat. We investigate design as learning about the context, building prototypes as tangible representations and testing potential solutions. We also show the productive value of moving through the process quickly and often to improve ideas and develop new insights. View all

Free

Big Data Emerging Technologies

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4.6/5
Coursera Coursera 5,800 5,800 learners

Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service). View all

Free

Big Data Analysis: Hive Spark SQL DataFrames and GraphFrames

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4/5
Coursera Coursera 18,200 18,200 learners

No doubt working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. View all

Free

Big Data Analysis with Scala and Spark

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4.7/5
Coursera Coursera 74,800 74,800 learners

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. View all

Big Data : Introduccion al uso practico de datos masivos

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4.4/5
Coursera Coursera 3,500 3,500 learners Free TrialFree Trial

Big Data – Introducción al uso práctico de datos masivos View all

Free

Big Data: capstone project

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4.4/5
Coursera Coursera 1,000 1,000 learners

En este último curso de la Especialización Big Data el estudiante tendrá la oportunidad de aplicar algunas de las herramientas y métodos aprendidos en los cursos anteriores en un caso práctico. View all

Free

大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)

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4.6/5
Coursera Coursera 8,900 8,900 learners

大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions) View all

Emerging Technologies: From Smartphones to IoT to Big Data

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4.6/5
Coursera Coursera 5,600 5,600 learners Free TrialFree Trial

This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. View all

Free

Big Data: visualizacion de datos

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4.6/5
Coursera Coursera 2,000 2,000 learners

“Visualización de datos” es el cuarto curso de la especialización “Biga Data- Uso práctico de datos masivos. View all

Free

Big Data: procesamiento y analisis

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4.1/5
Coursera Coursera 2,400 2,400 learners

El presente curso tiene como objetivo presentar los métodos y técnicas básicos para el procesamiento y análisis de datos en el contexto de Big Data. View all

Free

Big Data Genes and Medicine

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4.2/5
Coursera Coursera 20,600 20,600 learners

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. View all

Free

Big Data Integration and Processing

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4.4/5
Coursera Coursera 39,400 39,400 learners

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems View all

Free

Spatial Data Science and Applications

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4.4/5
Coursera Coursera 10,300 10,300 learners

Offered by Yonsei University. Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon. View all

faq FAQ for Big Data Courses

Q1: How long do big data courses typically take?

The length of big data courses can vary greatly depending on the individual's prior knowledge, educational background, experience, and the amount of time they can dedicate to the course. Generally, it can take anywhere from a few weeks to several months to gain a comprehensive understanding of big data.

Q2: What are some popular big data tools?

A popular set of big data tools used by professionals include Apache Spark, Apache Hadoop, Sqoop, HDFS, MapReduce, Scala, Java, C++, SQL, Python and others. These programming languages and tools are essential for working with large datasets and can help to uncover valuable insights.

Q3: What exactly is big data?

Big data is a term used to describe the massive amounts of data that are generated and collected on a daily basis. It is characterized by the three V's: volume, velocity, and variety. Volume refers to the sheer amount of data that is created and collected, velocity is the speed at which it is created and collected, and variety is the scope of the data points being covered. Big data is growing at an ever-increasing rate, and is used to gain insights and make decisions.

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