Big Data

Industry-Specific
Digital Skills

Schedule

Duration

150 hours

PRESENTATION

The Certificate in Big Data is an educational program designed to provide you with the knowledge and skills needed to understand, manage, and analyze large volumes of data. Through a combination of theory and practice, you will learn the fundamentals of Big Data, data sources, the use of Open Data, all phases of a Big Data project, and the platform's ecosystem Hadoop. The software will also be explored Weka and the techniques used in data mining. This certificate program offers you comprehensive training in the field of big data and prepares you to tackle the challenges and take advantage of the opportunities offered by data science and the constant growth in the big data field.

Objectives

  • Understanding the fundamental concepts of the Big Data and its importance in today's world.

  • Be familiar with the different data sources and understand the importance of selecting them.

  • Explore the use y benefits Open Data in Big Data projects.

  • Learn the key phases in the planning, implementation, and monitoring of Big Data projects.

  • Get familiar with the ecosystem Hadoop and Its Relationship to Big Data.

  • Be proficient in tools such as HDFS, MapReduce, Apache Hive, Apache Hue, and Apache Spark.

  • Using the software Weka and apply data mining techniques to data analysis.

Syllabus

TEACHING UNIT 1. INTRODUCTION TO BIG DATA What is Big Data? The era of massive amounts of information. History of Big Data The importance of storing and extracting information Big Data in a business context Open Data Public information IoT (Internet of Things) TEACHING UNIT 2. DATA SOURCES Definition and importance of selecting data sources Nature of Big Data sources TEACHING UNIT 3. OPEN DATA Definition, Benefits, and Characteristics Example of Open Data Use TEACHING UNIT 4. PHASES OF A BIG DATA PROJECT Initial Assessment Project Design Implementation Process Project Monitoring and Control Project Lead and Available Resources Timeline Project Scope and Cost Estimate TEACHING UNIT 5. THE HADOOP ECOSYSTEM What Is Hadoop? Relationship to Big Data Installation and Configuration of Hadoop Infrastructure and Ecosystem HDFS File System MapReduce with Hadoop Apache Hive Apache Hue Apache Spark LEARNING UNIT 6. WEKA AND DATA MINING What is Weka? Data Mining Techniques in Weka Weka Interfaces Attribute Selection
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.

Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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