With global technological development, a lot of data is processed every day. It has become ubiquitous and unsustainable for any business owner to keep it structured and track a resource. To overcome this great difficulty, data science, the rapidly expanding field, has been developed. All fields, such as medicine, finance, media, or manufacturing, have huge data sets. Therefore, the need for data scientist skills is sought everywhere, that is, they are not limited to a particular industry!
What do data scientists do?
Data science is a combination of math, statistics, business understanding, and programming skills. Therefore, data scientists are part mathematicians, part computer scientists, and part trend watchers. A data scientist helps companies interpret and manage data; deal with processes and systems and solve complex problems with a strong business sense. Its main functions include:
Collect large sets of structured and unstructured data from various sources.
Determination of data sets and variables.
Guarantee the validity, precision and uniformity of the data.
Analyze data to interpret trends and patterns.
Discovering solutions and opportunities.
Some of the prominent Data Scientist positions are:
Engineer / Miner
The Machine Learning Engineer
Advanced analytics professional
Exploring data science:
The few courses one must take 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 Maps, to name a few.
If you have natural curiosity, creative and critical thinking, want to seek the answers to unspoken questions and realize the full potential of data, whenever these data science concepts excite you, it is the perfect time to consider data science as a race. option. Statistics suggest that these skills are in high demand and transition careers in as little as 6 months of commitment.
An experience in computer programming, innovative business strategies, and the ability to communicate complex logic to non-technicians in an easy way are prerequisites for becoming a data scientist.
The benefits of becoming a data scientist:
Data scientists are in high demand with an attractive salary offer. About 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 way to get hired at the major fortune companies, the giants, like Amazon, Microsoft, Google, PayPal, Facebook, Uber, Apple, constantly looking for data experts. The role is to link business and technical aspects, identify trends, and devise strategies to increase your sales and profits. This field also offers freedom to work on projects that interest or interest you. Around the world, organizations large and small, regardless of field, require data handlers to interpret and analyze the data they create every day.