In today's world, properly leveraged data can give organizations of all types a competitive advantage. Companies now handle vast amounts of data on a daily basis and there is unparalleled demand for professionals in this space. Learn how to extract useful information from data and increase the ROI of a business by taking up our wide range of Big Data Analytics Certification Courses.
Popular Big Data Analytics Courses
MongoDB Developer and Administrator
Apache Kafka
Big Data Analytics Master's Program
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Ronald van Loon Top 10 Big Data and Data Science Influencer, Director - Adversitement
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
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Frequently Asked Questions
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What is Big Data Analytics?
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What are the best Big Data Analytics foundation courses for beginners?
Here are three of the best big data analytics starter courses:
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What is the best intermediate-level course offered in Big Data Analytics?
The Apache Kafka course is an excellent follow-up to the basic courses.
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What are the best advanced-level courses in Big Data Analytics?
You can supplement your knowledge of big data analytics with the following advanced courses:
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What does the Big Data Analytics job market look like?
According to a new study from PwC, big data job openings are expected to grow at an increased pace in 2020, resulting in the creation of around 2.7 million new jobs.
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What are the most popular Big Data Analytics job titles?
Here is a sample of the top job titles in Big Data Analytics:
- Big Data Scientist
- Big Data Analyst
- Big Data Architect
- Big Data Engineer
- Machine Learning Engineer
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What is the recommended career path for Big Data Analytics aspirants?
Anyone who wants to become a big data analytics professional should use the following path:
- Operating System - You must be proficient in any of the operating systems that Big Data uses, like Windows, Linux, or macOS.
- Programming - You should have an in-depth understanding of programming languages to easily process big data. Java, Python, R, and C++ are the most popular ones.
- DBMS and SQL - You need to learn to write SQL queries in My SQL, Oracle Database, or Microsoft SQL Server to manage data in the databases
- ETL and Warehousing tools - ETL tools, like Informatica, Talend, and Pentaho are critical to aggregation and analysis of unstructured data from different sources, so you need the ability to understand and work with them.
- Hadoop and Spark Frameworks - You need the ability to process and analyze large volumes of data using Hadoop and Spark.
- Data Mining and Modelling - You must develop the capability to analyze existing data and discover patterns for creating predictive data models
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What is the average salary of a Big Data Analytics professional?
The average annual salary of a big data analytics professional is around USD 92,773.
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What are the top industries that have a high demand for Big Data Analytics professionals?
- IT
- Finance
- Healthcare
- Automotive
- Telecommunications
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What specific companies are hiring the most Big Data Analytics professionals?
Here are the top companies hiring Big Data Analytics professionals:
- Amazon
- Accenture
- Apple
- Intel
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.
