With the global technological development, a lot of data is being processed each and every day. It has become ubiquitous and unsustainable for any Business Holder to keep it structured and track a resource. To overcome this major difficulty, Data Science – the fast expanding field, has been developed. Every field such as medicine, finance, media or manufacturing has huge sets of data. Therefore the need of data scientists’ skills is sought after everywhere, i.e. they are not bounded to one particular industry!
What do Data Scientists do?
Data Science is an amalgamation of mathematics, statistics, business understanding and programming skills. Therefore, Data Scientists are partly mathematicians, partly computer scientist and partly trend spotters. A Data Scientist helps companies interpret and manage data; deal with processes and systems and solve complex problems with a strong business sense. Their main roles include:
- Collecting large sets of structured and unstructured data from various sources.
- Determining the data sets and variables.
- Ensuring validity, accuracy, uniformity of data.
- Analyzing data to interpret trends and patterns.
- Discovering solutions and opportunities.
Some of the prominent Data Scientist job titles are:
- Analyst
- Engineer/Mining
- Administrator
- The Machine Learning Engineer
- Advanced Analytics Professional
Exploring Data Science:
The few courses, one needs to undergo to become a Data Scientist include Python, SQL, R, Blockchain, Statistical Analysis, Visualization, Machine Learning, Deep Learning, Artificial Intelligence, Hadoop, Spark, Internet of Things (IoT), Six Sigma, Mind Mapping, to name a few.
If you have natural curiosity, creative and critical thinking, desire to search out the answers to unasked questions and realize the full potential of data, provided that these concepts of data science excite you, it is the perfect time to consider data science as a career option. The stats suggest that these skills are in high demand and transitioning careers in as little as 6 months of commitment.
A computer programming background, innovative business strategies and ability to communicate complex logics to non-technicians in an easy way are prerequisites to becoming a Data Scientist.
The perks of becoming a Data Scientist:
Data Scientists are in high demand with an offer of handsome salaries. Around 80% of companies focus on investing a large proportion of professionals who can analyze data effectively to prepare better strategies for the future. Data Science training is the pathway to getting hired in the top fortune companies, the Giants, such as Amazon, Microsoft, Google, PayPal, Facebook, Uber, Apple who constantly look for Data Experts. The role is to link the business and technical sides, identify the trends and strategize plans to increase their sales and profits. This field also offers freedom to work on the projects that matters/interests you. Across the globe, both large and small organizations, irrespective of the field, require Data handlers to interpret and analyze the data they create every single day.
