With the advent of newer technologies and at the turn of the 21st century, there has emerged a need for people to be hands-on with the skills that they learn, as applied learning gains prominence. In January 2020, the World Economic Forum had announced that the world is currently facing a dire upskilling emergency and about a billion people need upskilling by 2030. The underlying message was for organisations, governments and the society to work together to bring in an education environment that is agile and enables people to find roles in the workplaces of the future.
Now is as good a time as any to become familiar with employee upskilling and reskilling. Reskilling is the development of additional skills and new capabilities to help one move to a new role, whereas upskilling is the training that enables one to become better at a job already they perform. As learners continuously react to the market and gain new required skills, they become an adaptable force that can shift and bend with changes in their market. As a result, employees have a greater wealth of knowledge and get used-to problem-solving and leverage skills to carry your organization across murky waters. Data science is no different an industry than any other, when it comes to upskilling or reskilling. Investing in an all-inclusive data science certification would definitely expand the horizon by allowing you to delve into fields that are newer and enriching career wise.
Learning new skills can have enormous positive impact on different aspects of your career as well as your personal life. Anytime we allow ourselves to be challenged, our horizons expand. The reasons why you must consider upskilling yourself today are listed below:
- Discover newer interests
- Secure your job
- Prepare you for the future
- Fill the skill gap
- Become more aware and disciplined
- Climb up the job ladder
Learning new skills in this era is as easy as it can get. There are many online data science certifications that can help you master new skills whether you are looking to change careers, improve your current skill set or expand your knowledge. You can undergo these courses from the comfort of your home owing to impeccable technological advancement. Being certified in the skills that you want to learn is an added advantage as you can include these certificates in your job profile. Hence the best time to start upskilling with a credible certification in data science from MIT, USDSI, GEORGIA TECH, STANFORD, COURSERA, etc is definitely a step ahead in the right direction towards a multitudinous career growth.
HOW A SEASONED DATA SCIENCE PROFESSIONAL BENEFIT FROM DATA SCIENCE CERTIFICATIONS?
A data science training certifies you with ‘in demand’ Big data technologies as it is a preparation towards the growing demand of big data skills and technology. It empowers professionals with data management technologies like Hadoop, R, Flume, Sqoop, Machine learning, Mahout, etc. The knowledge and expertise of the skills is an added advantage for a better and competitive career in data sciences. Once you’re an expert in Big data and data science technologies, you can grab the top data science titles that pay top dollars as it is evident that for a certified data science professional, sky is the limit.
TOP 8 DATA SCIENCE CERTIFICATIONS FROM BEGINNERS TO ADVANCED LEVEL OF DATA SCIENCE PROFESSIONALS ARE:
- IBM Data science professional certification
- HarvardX’s Data science professional certificate
- Certified Senior Data Scientist (CSDS™) certification by USDSI for advanced level
- Certified Data Science Professional (CDSP™) certification by USDSI for beginners
- Business analytics specialization by Coursera for beginners
- Amazon AWS Big Data certification for advanced level
- SAS academy for data science for advanced level
- Data mining and applications program by Stanford
Still thinking, why you must enrol for USDSI certifications or any other for that matter?
Simply, because it places you at a higher pedestal in your career path, that only leads you upwards. Importance of these data science certifications in 2022 are:
- Stick to essentials, cut the fluff
- Learning from industry experts with work experience, not PhD scientists
- Working with latest technology stacks
- Customized attention
- Portfolio guidance
- Placement assistance
- Mentoring even after getting placed in a company and working by yourself
- Learn critical but non-technical job skills like Networking, communication and teamwork
- Cost effective
- Highly reduced time requirements
Thus, it’s easy to see that in so many ways, a data science program can be much better for you than a data science degree. So, the critical takeaway is that there’s no need to spend moolah for skills which you can acquire at a minimal cost with the best in the data science industry, offering true value for money.
