About this Course

32,014 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 29 hours to complete
English
Subtitles: English, Spanish
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 29 hours to complete
English
Subtitles: English, Spanish

Offered by

Yonsei University logo

Yonsei University

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Big Data Rankings & Products

1 hour to complete
6 videos (Total 28 min)
6 videos
1.1 Big Data Market Analysis1m
1.2 IBM / 1.3 SAP8m
1.4 Oracle / 1.5 Splunk / 1.6 Accenture / 1.7 Dell / 1.8 Teradata6m
1.9 Microsoft / 1.10 Cisco / 1.11 AWS3m
1.12 Big Data Landscape1m
2 practice exercises
Ungraded Quiz8m
Graded Quiz
Week
2

Week 2

1 hour to complete

Big Data & Hadoop

1 hour to complete
8 videos (Total 68 min)
8 videos
2.3 Big Data's 4 Vs / 2.4 How is Big Data being Used?8m
2.5 HADOOP11m
2.6 MapReduce vs. RDBMS6m
2.7 MapReduce9m
2.8 Hadoop vs. SQL(RDBMS & RDSMS)12m
2.9 HDFS Enhancements4m
2.10 Hadoop vs. Hadoop YARN6m
2 practice exercises
Ungraded Quiz12m
Graded Quiz
Week
3

Week 3

2 hours to complete

Spark

2 hours to complete
11 videos (Total 101 min)
11 videos
3.2 Spark Architecture / 3.3 Spark Family9m
3.4 Spark vs. Hadoop11m
3.5 Spark RDD6m
3.6 Spark Transformations / 3.7 Spark Actions / 3.8 Spark DAG12m
3.9 Spark Programming7m
3.10 Spark Core / 3.11 Spark Variables & Serialization7m
3.12 Spark Cluster Operations / 3.13 Spark Standalone / 3.14 Spark Mesos14m
3.15 Spark YARN9m
3.16 Spark SQL / 3.17 Spark GraphX5m
3.18 Relational DB & Graph DB12m
2 practice exercises
Ungraded Quiz
Graded Quiz
Week
4

Week 4

1 hour to complete

Spark ML & Streaming

1 hour to complete
4 videos (Total 31 min)
4 videos
4.2 Spark ML Algorithms part 18m
4.2 Spark ML Algorithms part 29m
4.3 Spark Streaming10m
2 practice exercises
Ungraded Quiz
Graded Quiz

Reviews

TOP REVIEWS FROM BIG DATA EMERGING TECHNOLOGIES

View all reviews

About the Emerging Technologies: From Smartphones to IoT to Big Data Specialization

This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management....
Emerging Technologies: From Smartphones to IoT to Big Data

Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.