Big Data Analytics

You’ll develop the cultural awareness and critical thinking skills you need to analyze and produce a broad range of discourse in a full spectrum of careers — and to make a difference in whatever you do.

Course Description:

In this course, students will get an introduction to working with Big data and some fundamental concepts, such as data mining and stream processing and technologies for Big Data scenarios. Students participating in this course will learn various data genres and management tools appropriate for each, how big data is driving organizational change and the key challenges organizations face when trying to analyze massive data sets and able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. By the end of this course Students will become familiar with techniques using real-time and semi-structured data examples, techniques to extract value from existing untapped data sources and discovering new data sources and will have a better understanding of the various applications of big data methods in industry and research.

Is a Career as a Big Data Analyst Right for You? Find Out!

Take the CCBST “Big Data Analyst Career Training Readiness Quiz”

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Course Outline:

Course Outline:  
Computer Literacy  
Introduction to Data Analytics for Business  
Introduction to Big Data  
Python Programming Language  
Business Analytics for Decision Making  
Big Data Modeling and Management Systems  

Course Outcomes:

Upon successful completion of this course student will learn:

  • Understanding the rate of occurrences of events in big data and a better understanding of the various applications of big data methods in industry and research.
  • How to design algorithms for stream processing and counting of frequent elements in Big Data
  • Knowledge and application of MapReduce
  • Key technologies and techniques, including Python programming language and Apache Spark, to analyze large-scale data sets to uncover valuable business information.
  • Develop your knowledge of big data analytics and enhance your programming and mathematical skills.
  • Approach large-scale data science problems with creativity and initiative.
  • How to use fundamental principles used in predictive analytics.
  • Understand the role of Knowledge Management (KM) practitioners in creating business value
  • How to use Cloud Services to derive new values and business models
  • Identifying the computational tradeoffs in a Spark application, performing data loading and cleaning using Spark
  • Modeling data through statistical and machine learning methods.
  • How to perform supervised an unsupervised machine learning on massive datasets using the Machine Learning.
  • Evaluate and apply appropriate principles, techniques and theories to large-scale data science problems.

Career Opportunities

Graduates of this program will be able to start their career with entry-level positions in medium to large-sized companies as
Database Analyst
Data Warehouse Administrator
Data warehouse analyst
Information Resource Analyst
Data administrator
Data analyst – informatics and systems
Data custodian
Data miner
Data mining analyst
Data processing specialist
Database administrator (DBA)
Database management supervisor – computer systems
Electronic data processing (EDP) analyst
Electronic data processing (EDP) systems analyst
Information resource analyst
Course Duration:180 Hours



Are you ready to take the next step toward your future career?