The online Data Analytics for Business Professionals certificate is designed to improve the evidence-based decision-making skills of business professionals.
Our classes combine case studies with statistical software tools, training students to make business analytics decisions backed by facts and data. Working with data effectively to drive insights is a necessary skill for every individual who would like to make sound decisions.
Students in the Data Analytics for Business Professionals certificate acquire technical analytics communication skills, enabling them to effectively manage analytics teams, translate analysis into business objectives, and improve their evidence-based decision-making abilities.
Data analytics and data science positions are growing exponentially. Data scientists, data engineers and business analysts are among the most sought-after positions in America, as they can work across a variety of industries and markets. Data scientists still hold the top spot on Glassdoor’s 50 Best Jobs in America list and it’s not only because of the attractive $100,000 median base salary.
In essence, there are two different markets for data science and analytics jobs. Across the ecosystem, we see two broad families: analytics-enabled jobs and data science jobs. Common analytics-enabled jobs are Chief Executive Officer, Chief Data Officer, Director of IT, Human Resources Manager, Financial Manager and Marketing Manager. The immediate payoff for raising the analytics IQ in these roles is greater productivity and operational efficiency. Competencies and skills needed for data science jobs are different. They're often the aptitudes that entrepreneurs and innovators most desire. Candidates for these roles have strong credentials (either experience or education) in programming and applied data science.
According to IBM, by 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000. Additionally, the fastest-growing roles are Data Scientists and Advanced Analysts, which are projected to see demand spike by 28% by 2020. Data Science and Analyst jobs are among the most challenging to fill, taking five days longer to find qualified candidates than the market average. Employers are willing to pay premium salaries for professionals with expertise in these areas as well.