When you will search for the popular career options, you will find data science jobs among the top positions. The reason is the increasing amount of data needs to be created, collected, and analyzed globally. According to Statista, global data creation is forecasted to increase to over 180 zettabytes by 2025.
To harness the power of data, industries are looking for professionals who are equipped with the ability to drive insights and make data-driven decisions. The following are the best data science certifications to develop the skills required in this ever-growing field and get hands-on experience.
- Certified Data Science Professional (CDSP™)
This is one of the most recognized data science certifications by USDSI® (United States Data Science Institute) for undergraduate students and professionals with 0-2 years of experience. The course content has been developed by the USDSI® Data Science Advisory Board (DSAB) having a team of data science influencers and subject matter experts, such as data scientists, CTOs, etc. from Fortune 500 companies.
Why you should apply for this course?
- Self-paced learning program with 4-25 weeks duration.
- After clearing the examination of this program, you will receive a world-class digital badge and a link to show your achievement on social networks, such as Instagram, Facebook, Twitter, and LinkedIn.
- Learn data science and its significance, data analysis, big data and Hadoop, machine learning, data visualization and its important libraries, and more concepts.
- USDSI® will help you with the preparation of this program by providing a comprehensive resource hub that comprises workshops, practice codes, videos, and study books.
- Data Science Certificate
This 16-week course is offered by Cornell SC Johnson College of Business for researchers, engineers, technical managers, analysts, and data scientists. You will require knowledge of R programming, basic probability, college-level calculus, and statistics concepts as a prerequisite.
Why you should apply for this course?
- With this program, you will learn the data analytics process, use unsupervised learning techniques and neural networks, make predictions from collected data, and use supervised learning algorithms to categorize data.
- Live sessions and discussions with industry peers.
- Real-world projects for practical experience.
- After completing this certification course, you will earn 120 professional development hours and a data science certificate from Cornell College of Engineering.
- MicroMaster Program in Statistics and Data Science
Introduced by MITx and the MIT Institute for Data, Systems, and Society (IDSS), the MicroMaster Program in Statistics and Data Science is among the most distinguished data science certifications for all passionate candidates. It requires no formal prerequisite however, knowledge of mathematical reasoning, college-level calculus, and Python is recommended.
Why you should apply for this course?
- 4 separate tracks with 4 online courses each (methods-centered and domain analysis) and a virtually proctored exam.
- Helps develop a deep, multidisciplinary knowledge of data science, machine learning, probability, and data analysis.
- You can apply to the MIT Doctoral Program in Social and Engineering Systems (SES) after successful completion of this program.
- Microsoft Certified Azure Data Scientist Associate Certification
This intermediate-level data science certification program is introduced by Microsoft for data scientists having knowledge of machine learning frameworks and Python. It consists of 5 courses, 2 months of duration, and a flexible schedule learning format.
Why you should apply for this course?
- This course will teach you how to manage Azure resources for machine learning, deploy ethical machine-learning solutions, perform experiments, and train models.
- It is available with 12 months of renewal frequency.
- Practice for the exam through exam preparation videos, practice assessments, and exam sandbox.
- Online Certificate in Data Science
Led by data science professionals and academics of Georgetown University, the Online Certificate in Data Science is designed for entry and mid-level professionals with a 16-week (4-month) duration. The program prerequisites comprise knowledge of Python for data analysis.
Why you should apply for this course?
- Develop data science skills essential to resolve real-world challenges using machine learning.
- After completing this certificate, you will be equipped with the skills to use the data science pipeline for analytical workflows, perform statistical hypothesis testing, use NoSQL databases, and develop predictive models.
- Hands-on coursework and real-world projects.
- Accommodations are available for applicants who can’t attend the weekly Zoom session.
Preparing for Data Science Jobs
The US Bureau of Labour Statistics predicts that the rise of data science will open around 11.5 million job vacancies by 2026. Data scientist, business intelligence analyst, machine learning engineer, and data architect are some high-paying jobs in the data science field.
When evaluating the best data science certifications, it is important to think about where you are beginning and what is career objective. Get the essential qualifications and certifications to develop specific prerequisites. Remember, each data science job requires soft skills, such as communication skills, problem-solving, etc. along with technical expertise. Don’t forget to gain hands-on experience to boost your chances for a future-proof career.
Conclusion
Earning a recognized certification in data science can help you showcase your proficiency and learning commitment in this field. Consider important factors such as learning style, schedule, fees, reliability, expiration, and content structure when evaluating the best certification course. Note that just earning a certification can’t assure a high-paying job but you also need to put your best efforts to successfully go through your career path.
