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Big Data Analytics Essentials - Online Course

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Learn the basics of Big Data Analytics in this online course - perfect for beginners!

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About this event

Science & Tech • Science

Master Big Data Analytics with essential tools and techniques in this online course.

The Big Data Analytics Essentials course offers a deep dive into the world of big data technologies, designed for anyone interested in harnessing the power of data. You will explore essential frameworks, tools, and systems used to manage and process vast amounts of data. By the end of this course, you’ll have a strong understanding of key technologies and methodologies that drive big data analytics.

This course takes you through important aspects such as Hadoop, MapReduce, NoSQL databases, data storage and retrieval, and much more. With every module designed to build your expertise, you’ll master the art of managing and analysing big data. Whether you’re seeking to enhance your career or step into the field, this course provides a strong foundation to begin your data analytics journey.

Learning Outcomes:

Understand the fundamentals of big data analytics and its significance.
Gain proficiency in Hadoop, MapReduce, and NoSQL databases.
Learn techniques for efficient data storage and retrieval processes.
Explore the power of Spark in data processing and analysis.
Develop expertise in data analysis using Hadoop and Pig.
Enhance your ability to apply big data concepts in different industries.

Curriculum of Big Data Analytics Essentials - Online Course

Module 1: Introduction to Big Data
Module 2: Hadoop and MapReduce
Module 3: NoSQL Databases
Module 4: Data Storage and Retrieval
Module 5: Data Processing with Spark
Module 6: Data Analysis with Hadoop and Pig

Who is this Course For:

Professionals seeking to learn about big data analytics tools.
Data enthusiasts who want to explore data processing techniques.
Aspiring data analysts interested in Hadoop and Spark technologies.
Individuals aiming to build a career in data-driven decision making.
IT specialists looking to enhance their data management skills.
Students pursuing a career in data science or analytics.
Anyone interested in understanding big data technologies and applications.
Career switchers wanting to explore data analytics in depth.

Career Path:

Data Analyst: £27,000 – £45,000
Big Data Engineer: £35,000 – £65,000
Data Scientist: £40,000 – £70,000
Business Intelligence Analyst: £32,000 – £55,000
Hadoop Developer: £38,000 – £60,000
Data Architect: £45,000 – £80,000

Frequently asked questions

What are the 5 P's of big data?

The 5 P's of big data are People, Process, Platform, Performance, and Privacy. These elements are critical for managing and utilizing big data effectively.

What are the 5 C's of data analytics?

The 5 C's of data analytics are Clear objectives, Collected data, Clean data, Correct analysis, and Communication of results.

What are the 5 elements of big data?

The 5 elements of big data are Volume, Variety, Velocity, Veracity, and Value. These characteristics define the challenges and opportunities in managing big data.

What are the 4 types of big data analytics?

The 4 types of big data analytics are Descriptive analytics, Diagnostic analytics, Predictive analytics, and Prescriptive analytics. These types help businesses understand and make decisions based on big data.

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