Big Data Analytics: Top 3 Trends for 2024

Big data analytics involves knowledge of massive data storage, processing, analysis, and visualization technologies, techniques, and platforms, which necessitates a course on the foundations and newest trends and applications. Listed below 2 online advanced big data analytics courses.

Table of Contents:

• Top 3 Trends
• The Most Upskilling Programs
• Conclusion

Top 3 Trends

• Augmented Analytics: AI and machine learning in analytics tools will improve data preparation, insight production, and explanation.
• Edge Computing: Edge computing will be essential for processing and analysing data closer to the source, lowering latency, as IoT devices grow.
• Blockchain Analytics: Blockchain will enable new analytical use cases in supply chain management, finance, and healthcare.

The Most Upskilling Programs

1. Professional Program in Data Science with Machine Learning Essentials

The Professional Program in Data Science with Machine Learning Essentials from NIIT is a 15-30 week online program. It is designed for learners aiming to become data analysts and professionals who wish to upgrade.

Course Contents and Highlights:

• Data Analytics Using Excel
• Analytics using SQL
• Introduction to Programming using Python
• Python for Data Science
• Exploratory Data Analysis
• Exploratory Data Analysis using Tableau
• Storytelling using Tableau
• Statistics using Python
• Predictive Modelling using Machine Learning
• Industry projects
• Capstone project
• Expert Mentorship and guidance
• Quizzes and exercises
• Certification and Accreditation from NIIT and StackRoute
• Job Assistance and Placement Support

2. Big Data Analytics with Spark and Scala from Simplilearn

The Big Data Analytics with Spark and Scala from Simplilearn is a program that teaches learners how to use Spark and Scala.

Course Content and Highlights:

• Scala Programming and Functional Programming
• Spark Core and Spark SQL
• Spark Streaming and Spark MLlib
• Spark GraphX and Spark NLP
• Big Data Analytics using Spark and Scala
• Big Data Ecosystem and Architecture
• Certification from Simplilearn and IBM

Conclusion

Big data analytics needs technical, analytical, and business skills, as well as experience with tools, frameworks, and platforms to store, process, analyse, and visualise big data. So select a course that covers fundamental ideas, skills, and the newest trends and applications. Big data analytics evolves with new technology and methods.

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