Do any of these statements apply to you? You're happy to stay in your industry, but want to future-proof your career to include high-income skills like data analytics. You are interested in learning new age tech skills like data analytics to increase your productivity in the workplace. You want to join the high-income data analytics industry to get high remuneration. You are currently a data analyst and want to keep up with and surpass your peers.
If you answered NO to any of the questions above, you might want to read more about why you should upskill yourself in the digital age, or why data analytics has become an essential skill.
If you answered YES to any of the questions above, you're in the right place. Data Analytics certifications are your gateway to new opportunities, but what exactly are your options?
Incorporating Data Analytics Skills in Your Current Job Scope
Want to upskill to improve your work and stay relevant in the digital age? Transition to a hybrid role! With just foundational data analytics skills, you have the power to produce data-based insights that will help you analyse the best route forward. This can be immensely helpful in making decisions that boost productivity and accuracy in your work.
In a hybrid role, you can merge your current expertise with data analytics skills to improve business performance regardless of your current industry. For instance, those working in retail can use customer data to target specific audiences and/or predict customer behaviour, then using these findings to drive sales.
Similarly, HR executives can use data like income, overtime, years at the company, leave taken etc to quickly and accurately predict employee attrition and retain talent - just ask IBM, which has used data analytics do this (with 95% accuracy) since 2014.
Healthcare professionals can also use data analytics to predict potential hotspots, monitor the spread of diseases, and help governments make data-based decisions on resource allocation. This has been especially prevalent in recent epidemics, such as in the fight against the 2019 Novel Coronavirus (COVID-19).
Teachers and other personnel can even use data analytics to improve performance and services in schools. Different factors, like late payments, touchpoints in e-learning systems, and even electronic footprints, can be used to predict academic progress, which helps personnel quickly identify and assist at-risk students.
By obtaining a Data Analytics Certificate and transitioning into a hybrid role, you are proving to current and potential employers that:
1. You have the skills needed to help companies meet their objectives (e.g. improved performance, better talent retention, more effective resource allocation, and more).
2. (For internationally recognised certificates like the Wiley Certified Data Analyst certificate) Your data analytics training was comprehensive and robust, and you have developed analytical thinking essential for employees of the future.
3. You have the drive to take the initiative and get certified as a data analyst - something treasured by most, if not all employers.
Getting Certified Even Though You are a Data Analyst and/or Have Prior Knowledge
Did you know? On average, a data analyst has 3 data science and analytics related certificates. This means that most data analysts recognise the need to continue upskilling, learning new skills and best practices, and getting certified in these skills. Although it is important across all industries, self-improvement is crucial especially for those in the data science and analytics industry because data analytics technologies and capabilities are continuously evolving. By getting certified, you show that you are proactive and willing to learn even if you have experience in the field. This will be an advantage over non-certified peers who may have similar education backgrounds and portfolios.
Joining the Data Analytics Industry with No Prior Knowledge
If you're interested in focusing entirely on data analytics (instead of a hybrid role), certificates are an efficient way to gain the skills needed to join the data analytics industry. With just a data analyst certificate, you can be a Junior Machine Learning Specialist or Business Analyst. Those who wish to pursue specialisation courses can also use your data analytics certificate to prove that you are equipped with the foundational skills needed for such courses. These include the roles of:
- Data Scientist
- Data Developer
- Data Engineer
- Machine Learning Engineer
- Machine Learning Developer
- Machine Learning Specialist
- Artificial Intelligence Specialist
- Solutioning Leader
Use the chart below to plan your analytics roadmap!
Don't know where to find good data analytics certification courses? Start here with the Wiley Certified Data Analyst course.