Course Summary
Learn the basics of Big Data and its applications in this introductory course. Get hands-on experience with Hadoop and Spark and discover the potential of Big Data in various industries.Key Learning Points
- Understand the fundamentals of Big Data and its potential applications
- Learn how to work with Hadoop and Spark
- Gain practical experience through hands-on exercises
Job Positions & Salaries of people who have taken this course might have
- USA: $120,000
- India: ₹1,000,000
- Spain: €50,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €50,000
- USA: $80,000
- India: ₹800,000
- Spain: €35,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €50,000
- USA: $80,000
- India: ₹800,000
- Spain: €35,000
- USA: $85,000
- India: ₹900,000
- Spain: €40,000
Related Topics for further study
Learning Outcomes
- Understand the basics of Big Data and its potential applications
- Learn how to work with Hadoop and Spark
- Gain practical experience in working with Big Data tools
Prerequisites or good to have knowledge before taking this course
- Basic understanding of programming concepts
- Familiarity with Linux command line
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-Paced
- Hands-On Exercises
Similar Courses
- Big Data Essentials: HDFS, MapReduce and Spark RDD
- Big Data and Hadoop for Beginners - with Hands-on!
- Introduction to Apache Spark
Related Education Paths
Related Books
Description
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!
Outline
- Welcome
- Welcome to the Big Data Specialization
- Tell us about yourself and learn about your classmates
- By the end of this course you will be able to...
- Optional: Watch this fun video about the San Diego Supercomputer Center!
- Big Data: Why and Where
- What launched the Big Data era?
- Applications: What makes big data valuable
- Example: Saving lives with Big Data
- Example: Using Big Data to Help Patients
- A Sentiment Analysis Success Story: Meltwater helping Danone
- Getting Started: Where Does Big Data Come From?
- Machine-Generated Data: It's Everywhere and There's a Lot!
- Machine-Generated Data: Advantages
- Big Data Generated By People: The Unstructured Challenge
- Big Data Generated By People: How Is It Being Used?
- Organization-Generated Data: Structured but often siloed
- Organization-Generated Data: Benefits Come From Combining With Other Data Types
- The Key: Integrating Diverse Data
- Did you know?: 25 facts about big data
- Slides: What Launched the Big Data Era?
- Slides: Applications: What Makes Big Data Valuable?
- Slides: Saving Lives With Big Data
- Slides: Using Big Data to Help Patients
- Extra Resources
- Slides: Machine-Generated Data: It's Everywhere and There's a Lot!
- Slides: Machine-Generated Data: Advantages
- Slides: Big Data Generated By People: The Unstructured Challenge
- Slides: Big Data Generated By People: How is it Being Used?
- Slides: Organization-Generated Big Data: Structured But Often Siloed
- Slides: Organizaton-Generated Big Data: Benefits
- Slides: The Key - Integrating Diverse Data
- Why Big Data and Where Did it Come From?
- Characteristics of Big Data and Dimensions of Scalability
- Getting Started: Characteristics Of Big Data
- Characteristics of Big Data - Volume
- Characteristics of Big Data - Variety
- Characteristics of Big Data - Velocity
- Characteristics of Big Data - Veracity
- Characteristics of Big Data - Valence
- The Sixth V: Value
- What does astronomical scale mean?
- A Small Definition of Big Data
- Slides: Getting Started - Characteristics of Big Data
- Slides: Characteristics of Big Data - Volume
- Slides: Characteristics of Big Data - Variety
- Slides: Characteristics of Big Data - Velocity
- Slides: Characteristics of Big Data - Veracity
- Slides: Characteristics of Big Data - Value
- Slides: Characteristics of Big Data - Valence
- V for the V's of Big Data
- Data Science: Getting Value out of Big Data
- Data Science: Getting Value out of Big Data
- Building a Big Data Strategy
- How does big data science happen?: Five Components of Data Science
- Asking the Right Questions
- Steps in the Data Science Process
- Step 1: Acquiring Data
- Step 2-A: Exploring Data
- Step 2-B: Pre-Processing Data
- Step 3: Analyzing Data
- Step 4: Communicating Results
- Step 5: Turning Insights into Action
- Five P's of Data Science
- Slides: Getting Value Out of Big Data
- Slides: Building a Big Data Strategy
- Slides: The Five P's of Data Science
- Slides: Asking the Right Questions
- Slides: Steps in the Data Science Process
- Slides: Step 1 - Acquiring Data
- Slides: Step 2A-Exploring Data
- Slides: Step 2B-Preprocessing Data
- Slides: Step 3-Data Analysis
- Slides: Step 4-Communicating Results
- Slides: Step 5-Turning Insights Into Action
- Data Science 101
- Foundations for Big Data Systems and Programming
- Getting Started: Why worry about foundations?
- What is a Distributed File System?
- Scalable Computing over the Internet
- Programming Models for Big Data
- Slides: Getting Started-Why Worry About Foundations?
- Slides: What is a Distributed File System?
- Slides: Scalable Computing Over the Internet
- Slides: Programming Models for Big Data
- Foundations for Big Data
- Systems: Getting Started with Hadoop
- Hadoop: Why, Where and Who?
- The Hadoop Ecosystem: Welcome to the zoo!
- The Hadoop Distributed File System: A Storage System for Big Data
- YARN: A Resource Manager for Hadoop
- MapReduce: Simple Programming for Big Results
- When to Reconsider Hadoop?
- Cloud Computing: An Important Big Data Enabler
- Cloud Service Models: An Exploration of Choices
- Value From Hadoop and Pre-built Hadoop Images
- Copy your data into the Hadoop Distributed File System (HDFS)
- Run the WordCount program
- MapReduce in the Pasta Sauce Example
- Slides for Getting Started With Hadoop
- Downloading and Installing the Cloudera VM Instructions (Mac)
- Downloading and Installing the Cloudera VM Instructions (Windows)
- FAQ
- Copy your data into the Hadoop Distributed File System (HDFS) Instructions
- Run the WordCount program Instructions
- How do I figure out how to run Hadoop MapReduce programs?
- Intro to Hadoop
- Running Hadoop MapReduce Programs Quiz
Summary of User Reviews
Discover the exciting world of big data with Coursera's Big Data Introduction course. This course has received positive reviews from many users, who have praised its comprehensiveness and practicality. The course covers the fundamentals of big data and provides hands-on experience with tools like Hadoop and MapReduce. One key aspect that many users have found to be good is the course's focus on real-world applications of big data.Pros from User Reviews
- Comprehensive coverage of big data fundamentals
- Hands-on experience with tools like Hadoop and MapReduce
- Real-world applications of big data are emphasized
Cons from User Reviews
- Some users have found the course to be too basic
- The course may be difficult for those without prior programming experience
- Some users have reported technical issues with the course platform
Ilkay Altintas
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