Data Analysis Tutorial and specializations. Data analysis courses address methods for managing and analyzing large datasets. Start your career as a data scientist by studying data mining, big data applications, and data product development.
What is Data Analysis?
Data analysis is a primary component of Data Mining, Machine Learning and Business Intelligence (BI) and is key to gaining the insight that drives business decisions. Organizations and enterprises analyze data from a multitude of sources using Big Data management solutions and customer experience management solutions that utilize data analysis to transform data into actionable insights.
Data analysis is a proven way for organizations and enterprises to gain the information they need to make better decisions, serve their customers, and increase productivity and revenue. The benefits of data analysis are almost too numerous to count, and some of the most rewarding benefits include getting the right information for your business, getting more value out of IT departments, creating more effective marketing campaigns, gaining a better understanding of customers, and so on.
But, there is so much data available today that data analysis is a challenge. Namely, handling and presenting all of the data are two of the most challenging aspects of data analysis. Traditional architectures and infrastructures are not able to handle the sheer amount of data that is being generated today, and decision makers find it takes longer than anticipated to get actionable insight from the data.
Why Data Analysis?
When discussing data analysis it is important to mention that a methodology to analyse data needs to be picked. if a specific methodology is not selected data can neither be collected nor analyzed. The methodology should be present in the dissertation as it enables the reader to understand which methods have been used during the research and what type of data has been collected and analyzed throughout the process. The dissertation also presents a critical analysis of various methods and techniques that were considered but ultimately not used for the data analysis. An effective research methodology leads to better data collection and analysis and leads the researcher to arrive at valid and logical conclusions in the research. Without a specific methodology, observations and findings in a research cannot be made which means methodology is an essential part of a research or dissertation.
This Data analysis course will introduce you to the world of data analysis. You'll learn how to go through the entiredata analysis process, which includes: Posing a question; Wrangling your data into a format you can use and fixing any problems with it.