Have you ever noticed the hidden patterns around you?
Have you ever found connections between seemingly unrelated objects?
Have you ever come up with fresh ideas when you’re being creative?
Simply put, our mind’s ability to come up with fresh ideas and solutions in order to fulfill a task or problem that may be provided to us in our everyday lives is what’s called creativity. Ideas, fantasies, and ambitions being turned into reality is, what’s creativity all about. One’s creative ability is based on the creative problem-solving.
“Creativity is the intelligence having fun.”
-Albert Einstein
Hence, such intangible or tangible thing is the outcome of our imagination and more likely, the outcome of the contrasting ideas. Creativity is the potential to perceive the world in distinct ways. This potential for fostering creativity holds significant importance. That is why there is no limit to creativity. There is a direct correlation between imagination and creativity as, the more a person’s potential to materialize the speculations, ideas, and inspiration, the more a person’s creative abilities.
According to a research, creativity needs the coactivation and communication between the brain’s regions, therefore surpassing the dire boundaries.
Data science is all about creativity. Tonnes of data is used to find the patterns, calculations, codes, machine learning algorithms, and predictive models. Large companies have started implementing data-driven science techniques as it involves machine learning, modeling, statistics, programming, and databases. Data analysis, data warehousing, data visualization, and machine learning are the innovative fields of data sciences that are being widely used in business and artificial intelligence. This, indeed, requires an incredible amount of imagination, and seeing past the obvious headline statistics to reach a deeper conclusion is the hallmark of a Big Data professional.
Data can be so complicated that we can’t analyze it using only one tool and that’s where creativity kicks in. Be it writing a program to tackle a specific problem or processing and manipulating data, there are a plethora of approaches and solutions to each of these issues and these approaches depend upon how creatively we think.
Data is extremely important to all organizations and at all levels. It’s not just big IT and software companies: Data experts are needed in banking and finance, automotive, energy, healthcare, transport, retail, and virtually every domain. And because data drives decisions from boot camps in Data Science will be directly involved in important strategic decision-making processes. The role of a data scientist is now a buzz-worthy career. It has staying power in the marketplace and provides opportunities for people who study data science to make valuable contributions to their companies and societies at large.
Well articulated
Thank you
Well structured content
Good Job Meriyam