Big Data Analytics in 2024: Top 3 Advanced Courses for Skilled Pros

Top 3 Advanced Big Data Analytics Courses

Big data analytics is a fast-growing and high-demand profession since more data is gathered and created daily from social media, sensors, online logs, e-commerce, etc.

Big data analytics demands technological, analytical, and business skills, making it difficult to master. It also demands knowledge of large data storage, processing, analysis, and visualization tools, methods, and platforms.

Thus, to master big data analytics, you must find a course that covers the fundamentals and the newest trends and applications. Your course should also match your learning objectives, interests, and difficulty level.

To help you with that, we have compiled a list of the top 3 advanced big data analytics courses that you can take online. These courses are designed for learners who already have some background in data science, computer science, or related fields, and who want to take their big data analytics skills to the next level.

Table of Contents:

Data Analytics Program with Generative AI from NIIT
Big Data Analytics with Spark and Scala from Simplilearn
Advanced Data Science Specialization from Coursera
Conclusion

1. Data Analytics Program with Generative AI from NIIT

The Data Analytics Program with Generative AI from NIIT is a unique and innovative 16-32 weeks program that combines data analytics with generative AI, which is a branch of artificial intelligence that can create new and original data, such as images, text, music, etc. The program is designed for learners who seek big data analytics training and who want to learn how to use generative AI to enhance their data analysis and visualization.

The program covers topics such as:

Analyse and visualize data using Excel
Use SQL to work with RDBMS
Python programming
Data Analytics using Python libraries
Exploratory Data Analysis (EDA)
Visualize data using Tableau
EDA using Tableau
Capstone project

The program also provides learners with industry and career support, such as:

Industry Projects
Mentorship and Guidance from Experts
Certification and Accreditation from NIIT and StackRoute
Job Assistance and Placement Support

The program is delivered online, with live online classes, recorded videos, quizzes, exercises, and projects. The program also offers flexible batch timings and personalized learning paths to suit different learning needs and schedules.

2. Big Data Analytics with Spark and Scala from Simplilearn

The Big Data Analytics with Spark and Scala from Simplilearn is a comprehensive program that teaches learners how to use Spark and Scala, two of the most popular and powerful open source tools for big data analytics. The program is designed for learners who want to become proficient in big data analytics using Spark and Scala, and who want to learn how to handle large and complex data sets in a fast and efficient way.

The program covers topics such as:

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

The program also provides learners with career and professional development support, such as:

Instructors and Mentors
Quizzes and Assignments
Case Studies and Projects
Certification and Accreditation from Simplilearn and IBM
Resume Building and Interview Preparation

The program is delivered online, with self-paced videos, live online classes, quizzes, assignments, and projects. The program also offers flexible learning options and electives to suit different learning goals and preferences.

3. Advanced Data Science with IBM Specialization from Coursera

The Advanced Data Science Specialization from Coursera is a specialization that teaches learners advanced data science skills, such as deep learning, natural language processing, computer vision, and more. The specialization is designed for learners who already have some experience in data science, and who want to learn the cutting-edge techniques and applications of data science in various domains.

The specialization consists of 5 courses, such as:

Advanced Machine Learning and Signal Processing
Applied AI with Deep Learning
Advanced Data Science Capstone
Natural Language Processing
Computer Vision

The specialization also offers learners with academic and social benefits, such as:

Instructors and Experts from IBM and other leading organizations
Peer Support and Feedback
Specialization Certificate and Credential
Course Completion and Grades

The specialization is delivered online, with self-paced videos, quizzes, exercises, and projects. The specialization also allows learners to enroll in individual courses or the entire specialization, depending on their learning needs and interests.

Conclusion

Big data analytics is a vital skill for anyone who wants to harness the power of data and make an impact in their domain. However, big data analytics is also a challenging and dynamic skill, as it requires a combination of technical, analytical, and business acumen, as well as familiarity with various tools, frameworks, and platforms that are used to store, process, analyze, and visualize big data.

Moreover, big data analytics is constantly evolving, as new technologies and techniques emerge, such as artificial intelligence, machine learning, deep learning, natural language processing, computer vision, etc.

Therefore, if you want to learn big data analytics, you need to choose a course that covers the essential concepts and skills, as well as the latest trends and applications. You also need to choose a course that suits your learning goals, preferences, and the level of complexity you are ready to handle.