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Big Data 101
Course
Big Data 101
Master the fundamentals of big data. Learn to use Apache Hadoop and discover the 4Vs – volume, velocity, variety, and veracity. Build your skills in analyzing big data and help businesses maximise the value of the data they hold.
Kick-start your big data career and develop critical skills for data science.
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
2 weeks, online
3-4 hours/week
3-4 hours/week
Big data helps organizations gain new insights from previously untapped data sources; sources such as sensors, devices, the web, social media and transactional applications. This in turn enables businesses to make faster and better decisions to improve customer relationships. Individuals with the skills and understanding to make sense of all this data, therefore, are highly sought-after. During this course, you will be introduced to the fundamentals of big data. You will develop an understanding of how big data enables businesses to provide better services to customers. You’ll explore how to process big data on platforms that handle the volume, velocity, variety, and veracity of big data – the 4 Vs. You will learn about Hadoop, and other big data solutions. And you will investigate the importance of big data in data science. Once you have completed this course, you will have a good understanding of big data, its characteristics and use cases. You will have an appreciation of big data sources and how to use the data at your fingertips to the benefit of a business. Plus, you will know how to process big data and work with Hadoop. For individuals keen to build a successful career in data science, Big Data 101 is the ideal place to start. .
This IBM certified course comprises five purposely designed modules that take you on a carefully defined learning journey. It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 2 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don't worry, you're not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space. The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages. Once you have successfully completed the course, you will earn your IBM Certificate.
After completing this course, you will have an understanding of: Understand Big data, its characteristics, and use cases. Understand Big data sources, adoption, and platform. Know the importance of big data in data science. Work with big data in business. Process big data. Understand Working of Hadoop.
None.
Course Outline
Introduction to Big Data (2:41)
Welcome! (1:09)
Prerequisites and Recommended Skills
Learning Objectives
Syllabus
Grading Scheme
Change Log
Copyrights and Trademarks
Learning Objectives
What is Big Data? (5:49)
Big Data in Business (4:07)
Lab
Graded Review Questions (3 Questions) Review Questions
Learning Objectives
Beyond the Hype (5:58)
Lab
Graded Review Questions (3 Questions) Review Questions
Learning Objectives
Big Data & Data Science (5:58)
Lab
Graded Review Questions (3 Questions) Review Questions This content is graded
Learning Objectives
Big Data Use Cases (5:37)
Lab
Graded Review Questions (3 Questions) Review Questions
Learning Objectives
Processing Big Data (5:56)
Lab
Graded Review Questions (3 Questions) Review Questions
Course Summary (2:54)
IBM BigInsights for Hadoop
Final Exam (10 Questions) Timed Exam Final Exam
Certificate
Badge
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
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Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
As a result of the numerous advantages big data delivers to organizations, big data analytics is in very high demand. An increasing number of businesses are using analytics, which is contributing to the tremendous increase in its use and popularity.
Big data analytics has become essential since data science has grown exponentially. As a discipline, it aids in the improvement of business operations and decision-making, as well as offering the most competitive advantages to businesses looking to grow. This is true for both firms and professionals working in the analytics field. The opportunities for individuals with skills in working with big data are therefore very rewarding.
You will gain a solid understanding of the principles of big data. The 4Vs - volume, velocity, variety, and veracity - will be explored as you learn to use Apache Hadoop and its associated technologies. You will learn how to analyze large amounts of data and how to assist organizations in maximizing the value of the data they have. Taking this course is an excellent way to get your big data career off to a strong start and build necessary skills for data science.
Individuals who are interested in learning about big data topics and technology can enroll in this Big Data 101 course. College graduates who wish to begin their careers in big data can also enroll in this course.
This course does not have any prerequisites. It is a beginner level course that you can complete at your own pace.
This IBM certified course is divided into five modules that are intended to guide you through a carefully planned learning experience.
Yes, Big data 101 offers a choice of mentoring options, including personalized support, webinars, and weekly feedback.
As part of our mentoring service, you can have access to valuable guidance and support throughout the course. We provide a dedicated discussion space to ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions.
Type of certificate
IBM Certificate
About this course
05 Modules
06 Skills
Includes
Discussion space
05 Hands-on labs
01 Exercises
09 Videos
05 Review questions
01 Final exam
Create
Big data systems
Exercises to explore
IBM BigInsights for Hadoop
Big data use cases
Use Pig functions that you can run from the Grunt Shell
This course has been created by
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