How to Build a Data Science Career with a Certificate

Data science is one of the fastest-growing industries in the 21st century. There are multiple paths you can take to start a data science career, from getting a four-year degree to attending online courses. Many people do not have the time or money to commit to a traditional four-year degree program, so they opt to earn a data science certificate instead.

Data science certificate programs provide a fast track into entry-level data science careers. By taking part in a certificate program, you can work towards building a career in the field.

How Earning a Certificate Prepares You for a Data Science Career

Looking to break into the data science industry? A certificate program offers a balance of practical training and professional development. Unlike data science degrees, data science certificate programs tend to prepare students for a particular career path. Some certificate programs are even targeted to a certain job title. Data science certificate programs teach skills that reflect industry trends such as Python and SQL. They also introduce students to machine learning, predictive analytics, and other sought-after skills.

Data science certificate programs allow participants to take courses and develop skills on their own time and in their own environments. Many certificate programs are available online, making them a great option for people who have a job or other responsibilities. Certificate programs conclude with final projects, portfolio development, and other professional development events and resources. By combining data science skills with these professional tools, certificate programs also ensure that students are prepared to apply the skills that they learn on the job.

Professional Tools to Build a Data Science Career 

After taking part in a data science certificate program, it’s important to take advantage of professional tools that will help you begin building a career. These tools can help you find jobs or employment opportunities, build your network of contacts, and find mentors.

Resumes and Recommendations

Data science professionals should regularly update their resumes, as well as maintain good research and employment references. Since the job application process is increasingly more automated, it is important to focus on including skills on your resume that are popular within the field of data science, as well as skills that respond to the requirements of the job. Sharing your resume within online jobs boards and sites relevant to your field of interest makes it easier for potential employers to find your job postings.

Along with a resume, many jobs require a list of professional references. If you’re a newcomer to data science, it is useful to build a network of data science professionals or mentors that you can rely on to supply these recommendations. Many data science certificate programs offer students opportunities to meet and be matched with potential mentors and collaborators after receiving certification or as part of their coursework.

Data Science Portfolio and Projects

Another professional development tool that comes from taking a certificate program is the creation of data science portfolios and projects. When working through a certificate program, data science students and professionals usually develop a project, or multiple projects, that can be presented online through a data science portfolio. These projects can then serve as a way for prospective employers to learn more about your skills. In particular, data science portfolios not only allow you to present your work to prospective employers but also act as a contribution to the larger data science community. By sharing your projects, other data scientists and developers can learn from the work that you have completed!

Internships and Engagement

Taking on an internship at a company where you’d want to work is a great way to get your foot in the door. Internships allow you to further develop your skills by adding a professional development opportunity to your resume. When selecting an internship program, it is important to find a position that is aligned with your career goals. 

An internship can also provide opportunities for horizontal networking (networking with people at the same level of skills and engagement as you). By creating a horizontal network, you can find people to collaborate with on projects or provide peer recommendations. 

Top Data Science and Analysis Certificate Programs 

The first steps to starting a data science career are building a portfolio, networking, and developing your projects and skills. A good data science certificate program will allow you to do all of the above. It is important to choose a program that will help you find employment opportunities. Those interested in beginning a career in the data science industry can look to Noble Desktop’s data science classes and certificate programs.

The Data Science Certificate offers training in Python as well as instruction in SQL databases and developing machine learning models. The Data Analytics Certificate helps prospective data and business analysts begin a career in their industry of choice. By working on projects and building a portfolio, students in these certificate programs will have access to professional development opportunities that can be the beginning of a data science career.