Data Science CERTIFICATION is the new hot cake
Choice. It is one word that makes and mars lives of not just people but also of industries. A wrong decision could set one back and that is precisely why data science certification course is gaining ground in these times. To put it simply, data analytics uses data to help people and businesses to make informed decisions.
Data science certification with placement
Across sectors, be it retail, aviation, automobile and healthcare to name a few, the use of data science certification course is gaining traction. IBM predicts that demand for data science will soar by 28% by 2020. Data scientists roles have grown by 650% since 2012 and currently, just 35,000 people in the US have data science skills. In India the dearth of skilled data scientists is even more.
Contrary to popular belief, that people with Computer Science, Statistics and Math background only can master data science, studies shows that 19% of students from Economics and Social Sciences background are opting for data analytics.
Data science is one of the ultra-lucrative career options around the globe. In this technology-driven era, every organization needs a Data Scientist to analyse the performance in reference to the data obtained from an online source. The basis of research by Glassdoor, in the United States alone, data scientists salaries worth $116,100 p.a.
Sample this: Every minute Amazon ships 6,659 packages, Facebook users upload 147,000 photos every minute. There is humungous data that is floating around us and almost everyone from the kirana store owner in the corner of the street to top level executives at multi-national companies want authentic data to improve their businesses. In short-data is king.
When can one start learning? And can Commerce stream students take it up? The answer to these questions is a big Yes! Even an Intermediate I year student can start with Python data science course as one of the languages.
what is data science course
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
Data science course syllabus include Combining computer science, modeling, statistics, analytics, and math skills—along with sound business sense—data scientists uncover the answers to major questions that help organizations make objective decisions Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.
Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:
- Find the leading cause of a problem by asking the right questions
- Perform exploratory study on the data
- Model the data using various algorithms
- Communicate and visualize the results via graphs, dashboards, etc.
In practice, data science is already helping the airline industry predict disruptions in travel to alleviate the pain for both airlines and passengers. With the help of data science, airlines can optimize operations in many ways, including:
Plan routes and decide whether to schedule direct or connecting flights
- Build predictive analytics models to forecast flight delays
- Offer personalized promotional offers based on customers booking patterns
- Decide which class of planes to purchase for better overall performance
