Big Data Analytics
BIG DATA ANALYTICS CERTIFICATION
- Farsana P
- 17 September 2019
Gain essential skills in today's digital age to store, process and analyse data to inform business decisions. In this course, part of the Big Data Micro masters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills.
We will learn about Data Analysis Tools: Tableau Public, OpenRefine, KNIME, RapidMiner, Google Fusion Tables, NodeXL, Wolfram Alpha, Google Search Operators, Solver, Dataiku DSS with their uses, limitations, and description.
Some examples of industries that use big data analytics include the hospitality industry, healthcare companies, public service agencies, and retail businesses. And, now understands that big data analytics is gathered by means of software and tools such as data mining, Hadoop, text mining, and predictive analytics. A bachelor's degree in a related field, such as statistics, mathematics or computer science, can substitute for some or all of the occupational experience needed to qualify for some of these certification exams. Data analysts can become certified through several different organizations.
To become a data analyst, you must first earn a Bachelor's degree. This is a requirement for most of the entry-level data analyst positions. The relevant disciplines include Finance, Economics, Mathematics, Statistics, Computer Science, and Information Management