Most popular 5 Big data courses that can make your career

Big Data is one of the newest developments in data science. It requires analysts and skilled data scientists to collect data from companies and transform them into usable formats. These data sets are then processed using various statistical tools to detect patterns and insights. Noting these patterns helps to build machine learning models. These models can create regression calculations in order to predict certain crucial factors for a business. Different companies use data analysis for varying purposes. The employees skilled in these techniques are in high demand. Companies require employees who have the essential knowledge in this field. Therefore, candidates are always looking for the best big data courses online.

Big Data has numerous applications in the technological industry for building efficient machine learning programs that can power up artificial intelligence. These AI systems can then be employed to make recommendations to the customers. Similarly, businesses use big data to boost their sales performance and profit values. The technology also finds applications in healthcare for detecting the most efficient cures. It is also being used in finding the most profitable stocks and shares. Overall, big data is being used to find solutions to the most complex problems. Anything that has extensive amounts of data that cannot be processed manually can be used in proper data analysis to develop some applications.

There are many big data courses available online, and it is important that candidates choose the right one that best suits their needs. In this article, we will discuss the five best big data training programs.


Simplilearn is a great source for data science training. It equips interested candidates with the necessary tools that are used by the industry. These tools include Hadoop, Apache Spark, R, Python, among many others. Simplilearn is most popular for its Big Data and Hadoop training program. It serves as an introduction to the world of professional data analysis. The course also clears concepts such as distributed storage and networking through HDFS, using Hadoop complementary technologies such as Hive and Spark, and implementing various practical models and deploying optimization programs.


Cloudera is one of the most common names in data science. They pioneered the whole revolution by applying big data analysis into usable models and making products for different companies. The CCA Spark and Hadoop training course help candidates to understand the tools used to conduct professional data analysis. Candidates can make their own models using tools such as R and Scala. The course also teaches the aspirants about aggregating data from sources like Spark SQL and Hive. With data streaming, proper query research can be done as well.


Hortonworks is also an established name in the industry since it followed Cloudera into the data science revolution. Their credible training program makes use of their own cloud environment to teach candidates about data analysis and model building. Their developer course allows candidates to learn using tools such as Spark, HBase, Apache Trident, and Storm to process information and write machine learning codes. Trainees can conduct not only regression analysis but also build forecasting and recommendation systems that can be used by different companies in their own IT infrastructure.


This company provides the most basic and fundamental courses related to data science. The content is backed by IBM, and this makes them very credible. However, the material provided will not include professionals and industry veterans. If the individual wants to kickstart their career and begin their journey in data science, this is a great course. Trainees get to understand the scope, applications, and limitations of data analysis. They get an introduction to different tools used by industry professionals. It is free, and individuals get insights on various case studies.


Big data courses by Udemy provide the minimum knowledge required for candidates to move on to better and more complicated training routines. Trainees solve practical problems and finish assignments after learning the fundamentals of data analysis. They also learn about regression, statistics, visualization of information, modelling, and solution management. It goes through the entire process of conducting a data analysis from scratch.

Having completed a data science course and learning about Big Data, candidates are well equipped with the tools. They can use these tools to build their own applications. Recruiters prefer individuals who can use their knowledge into building useful models. Therefore, constantly upgrading your knowledge and applying it vastly increases job opportunities and salary prospects.