Business Analytics: From Data to Insights
What is Data Mining?
Data mining refers to the process of unearthing patterns from large datasets. It is also known as knowledge discovery in data. With the development of data warehousing technology and big data, more and more companies have adopted data mining techniques in recent decades. Essentially, data mining transforms raw data into usable information. However, challenges of scalability and automation continue to exist.
Extracting insights using data mining is much faster when combined with visualization tools and data analytics. In addition, artificial intelligence further expedites the highly beneficial process to industries across the board. Scientists employ data mining to cluster and classify data using observed patterns and regression methods and identify exceptions for use-cases. In this regard, the process involves four primary steps: Setting objectives, data gathering, applying data mining algorithms, and evaluating results.
Why is Data Mining Important?
Data mining aids the process of decision-making of companies through analytical data insights. The underlying techniques of data mining can describe datasets and predict outcomes using machine learning algorithms. These methods further filter and organize data, highlighting the most relevant information, which is especially useful for detecting fraud, bottlenecks, and security breaches. The business intelligence and data analytics industries extensively employ data mining techniques to extract valuable information. Some departments where data mining proves indispensable are sales and marketing, education, operational optimization, and android detection.
Data mining boosts the efficiency and profitability of a business by ensuring that the data analyzed is accurate and reliable. As a result, all can benefit from processes that rely on quantitative evidence, from a newly-launched application to a legacy one. Data mining allows companies to make informed decisions, strategize optimally, and discover indiscernible trends.
Can I Learn About Data Mining Online?
With businesses’ growing reliance on data, more and more professionals feel the need to upskill and equip themselves with a wide array of employable and transferable skills. Several valuable resources have emerged owing to this rise in interest. Books, online data mining courses, seminars, and bootcamps are top-rated due to their affordability and flexibility. In addition, some of the most prestigious institutions in the world offer most online courses, which often include certification. For such reasons, learning about data mining online and at one’s own pace is quite practical.
What Kind of Career Can I Get with a Background in Data Mining?
The field of data mining is growing at astronomical rates. According to the National Bureau of Labor Statistics, employment rates for computer- and information research are projected to grow by 21% between 2020 and 2030. Higher-than-above pay also makes it one of the most lucrative fields for employment.
Job Roles for Data Mining Professionals:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Logistics Analyst
- Data Architect
- Business Systems Analyst
- Marketing Analyst
Why Take an Online Course at Emeritus?
Each Emeritus online course is designed keeping key learning outcomes in mind by a team of experts. We use the backward design methodology to develop instruction for learners of all ages. This enables us to craft unique, interactive, learning experiences that include a combination of assessments, hands-on activities, skill application, and more.
Emeritus also collaborates with the best universities and faculty around the world to curate the course curriculum that can effectively tackle present challenges in the industry, while preparing you for the trends and risks in the future. Our courses consist of assignments, exams, capstone projects, networking opportunities, a fine balance of practical and theoretical concepts, and the opportunity to learn from top minds in the industry. This adds to the holistic experience we try to provide for each learner.
We are also focused on providing courses that are standardized in quality. This is done by adhering to standards set by a global organization called Quality Matters which is focused on providing quality standards for online and innovative digital teaching and learning environments. The rigorous criteria ensure all our learners invest in quality education that is easily accessible and affordable.