What Skills Do I Need to Become a Data Scientist?

@machinelearnbot

Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities--organizations are increasingly relying on the expertize of data scientists to sustain, grow, and outdo their competition. Consequently, as the demand for data scientists increase, the discipline presents an enticing career path for students and existing professionals. This article aims to answer this question. We will dive into the technical and non-technical skills that are critical for success in data science.


What skills do I need to become a data scientist?

@machinelearnbot

Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities--organizations are increasingly relying on the expertize of data scientists to sustain, grow, and outdo their competition. Consequently, as the demand for data scientists increase, the discipline presents an enticing career path for students and existing professionals. What skills do I need to become a data scientist? This article aims to answer this question.


What Skills Do I Need to Become a Data Scientist?

@machinelearnbot

Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities--organizations are increasingly relying on the expertize of data scientists to sustain, grow, and outdo their competition. Consequently, as the demand for data scientists increase, the discipline presents an enticing career path for students and existing professionals. This article aims to answer this question. We will dive into the technical and non-technical skills that are critical for success in data science. This is an address for all those who love to wrangle and rumble with Big Data.


Data Scientist vs Data Engineer, What's the difference?

#artificialintelligence

Data Scientists and Data Engineers may be new job titles, but the core job roles have been around for a while. Traditionally, anyone who analyzed data would be called a "data analyst" and anyone who created backend platforms to support data analysis would be a "Business Intelligence (BI) Developer". With the emergence of big data, new roles began popping up in corporations and research centers -- namely, Data Scientists and Data Engineers. Data Analysts are experienced data professionals in their organization who can query and process data, provide reports, summarize and visualize data. They have a strong understanding of how to leverage existing tools and methods to solve a problem, and help people from across the company understand specific queries with ad-hoc reports and charts.


7 Fastest-Growing Job Roles In Data Science & How To Work Towards Them

#artificialintelligence

In an industry that is experiencing a steady rate of job creation, data science itself has moved from just a buzzword to a strategic component in organisations. In addition to this, data scientists are increasingly taking on more strategic roles as organisations employ a product-centric view of data. It is a field that promises tremendous job growth and higher earning potential. Our latest research posits 97,000 jobs are available in this buzzing field. On the hiring end, there is a significant overall growth in jobs in the field.