Online Course – Certified Professional Internship in Big Data Specialization from the University of California San Diego

Discover value in big data. Learn basic big data methods in six easy courses.

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קורס אונליין - התמחות מקצועית מוסמכת ב-Big Data Specialization של University of California San Diego

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Making better business decisions
  • Understanding big data and its impact on business
  • Using Hadoop with MapReduce, Spark, Pig, and Hive
  • Performing predictive modeling
  • Utilizing graphical analytics
  • Asking the right questions about the data
  • Effective communication with data scientists
  • Basic exploration of large and complex datasets
  • Performing basic big data analytics

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Data Project Manager
  • Data software developer
  • Business consultant
  • Information Systems Manager
  • Hadoop and Spark expert
  • Systems Analyst
  • Data Product Manager
  • Graphical Analytics Specialist

The specialization – a series of 6 courses

Make better business decisions with an overview of how big data is organized, analyzed, and interpreted. Use your insights to address real-world problems and questions.

Who is this suitable for?

  • If you need to understand big data and how it will impact your business.
  • No prior programming experience required!

What will you learn?

  • Basic guidance on using Hadoop with MapReduce, Spark, Pig, and Hive.
  • How to perform predictive modeling and utilize graphical analytics.
  • Asking the right questions about the data.
  • Effective communication with data scientists.
  • Basic exploration of large and complex datasets.

Graduation project

In a final project, in collaboration with the software company Splunk, you will be able to apply the skills you have learned to perform basic big data analytics.

Details of the courses that make up the specialization

Introduction to Big Data

Course 1
• 17 hours
• 4.6 (10,842 ratings)

Course Details

What you will learn: This course is designed for those interested in gaining a basic understanding of the field of data science and why the era of Big Data has arrived. The course provides an introduction to one of the most widely used frameworks, Hadoop.

At the end of the course, you will be able to:

  • Describe the Big Data landscape including examples of real-world team problems.
  • Explain the V’s of Big Data (Volume, Velocity, Variety, Truth, Value).
  • Extract value from Big Data using a 5-step process.
  • Identify Big Data problems and transform them into data science questions.
  • Provide an explanation of the architectural components and programming models.
  • Summarize the features and value of Hadoop components.
  • Install and run a program using Hadoop!

Hardware requirements:

  • Multi-core processor (VT-x or AMD-V support recommended), 64-bit;
  • 8GB RAM;
  • 20 GB free disk.

Software requirements:

  • Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.

Big Data Modeling and Management

Course 2
• 13 hours
• 4.4 (2,992 ratings)

Course Details

What you will learn: You will experiment with different genres of data and management tools appropriate for each.

At the end of the course, you will be able to:

  • Identify different data elements in your work.
  • Explain why your team needs Big Data infrastructure system planning.
  • Choose a data model that matches the characteristics of your data.
  • Apply techniques for handling flow data.
  • Design a Big Data information system for an online gaming company.

Hardware requirements:

  • Multi-core processor (VT-x or AMD-V support recommended), 64-bit;
  • 8GB RAM;
  • 20 GB free disk.

Software requirements:

  • Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.

Big Data Integration and Processing

Course 3
• 17 hours
• 4.4 (2,398 ratings)

Course Details

What you will learn: You will be able to recover data from data centers and perform simple integration and processing of Big Data.

At the end of the course, you will be able to:

  • Describe the relationships between data management operations and Big Data processing patterns.
  • Identify when a Big Data problem requires data integration.

Hardware requirements:

  • Multi-core processor (VT-x or AMD-V support recommended), 64-bit;
  • 8GB RAM;
  • 20 GB free disk.

Software requirements:

  • Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.

Machine Learning with Big Data

Course 4
• 21 hours
• 4.6 (2,455 ratings)

Course Details

What you will learn: This course provides an overview of machine learning techniques to explore, analyze, and use data.

At the end of the course, you will be able to:

  • Design an approach to extract value from data.
  • Build models that learn from data.
  • Analyze Big Data problems using machine learning algorithms.

Software requirements:

  • Cloudera VM, KNIME, Spark.

Graphical analytics for Big Data

Course 5
• 13 hours
• 4.3 (1,260 ratings)

Course Details

What you will learn: This course provides a broad overview of the field of graphical analytics.

At the end of the course, you will be able to:

  • For a problem model for a graphical database.
  • Perform analytical tasks at scale.

Edge Project – Big Data

Course 6
• 20 hours
• 4.4 (395 ratings)

Course Details

What you will learn: In the final project, you will build a Big Data ecosystem.

At the end of the course, you will be able to:

  • Analyze a dataset that simulates Big Data.
  • Create exciting reports and presentations.

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