Data Science Certification

Data science is important to nearly every company and industry, but the skills that recruiters are looking for will vary across businesses and industries. Data Certification's courses are a great way to gain an edge because they allow you to develop skills that are hard to find in your desired industry. They're also a way to back up your skills, so recruiters and hiring managers know what they’re getting if they hire you.

The data science field employs mathematics, statistics, and computer science disciplines, and incorporates techniques like machine learning, cluster analysis, data mining, and visualization.
Data science is almost both an art and a science and involves the extraction and analysis of vital data from relevant sources when it comes to measuring success and planning for future goals.

Whether you’re looking to earn a certification from an accredited university, gain some experience as a new grad, hone vendor-specific skills or demonstrate your broad knowledge of data analytics.

Top data science certifications

Applied AI with DeepLearning, IBM Watson IoT Data Science Certificate
Certified Analytics Professional (CAP)
Cloudera Certified Associate: Data Analyst
Cloudera Certified Professional: CCP Data Engineer
Data Science Council of America (DASCA)
Dell EMC Data Scientist Associate (EMCDSA)
Dell EMC Data Scientist Advanced Analytics Specialist (EMCDS)
HDP Data Science

Applied AI with DeepLearning, IBM Watson IoT Data Science Certificate
To earn IBM’s Watson IoT Data Science Certification, you’ll need some experience coding, preferably in Python, but they will consider any programming language as a place to start. Math skills, especially with linear algebra, are recommended but the course promises to cover the topics within the first week.

HDP Data Science
The HDP Data Science certification course from Hortonworks covers data science topics like machine learning and natural language processing. It also covers popular concepts and algorithms used in classification, regression, clustering, dimensionality reduction and neural networks.

Cloudera Certified Associate: Data Analyst
The CCA exam demonstrates your foundational knowledge as a developer, data analyst, and administrator of Cloudera’s enterprise software. Passing a CCA exam and earning your certification will show employers that you have a handle on the basic skills required to be a data scientist.

Certified Analytics Professional (CAP)
CAP offers a vendor-neutral certification and promises to help you “transform complex data into valuable insights and actions,” which is exactly what businesses are looking for in a data scientist: someone who not only understands the data but can draw logical conclusions and then express to key stakeholders why those data points are significant.

Benefits of Data Science Certification 
The main advantage of enlisting data science in an organization is the empowerment and facilitation of decision-making. Organizations with data scientists can factor in quantifiable, data-based evidence into their business decisions. These data-driven decisions can ultimately lead to increased profitability and improved operational efficiency, business performance, and workflows. In customer-facing organizations, data science helps identify and refine target audiences. Data science course can also assist recruitment: Internal processing of applications and data-driven aptitude tests and games can help an organization's human resources team make quicker and more accurate selections during the hiring process.

Learn the Most Popular Data Science Tools

Data science is constantly evolving, and data scientists are always using new and innovative tools to make their jobs more efficient. Without enrolling in a data science course, it can be difficult to learn about all of the popular data science tools that are used today. However, this is an important skill for any data scientist. Different companies use different tools, so if you’re accustomed to only using specific ones, it’s important to expand your skill set and learn about all the different data science tools out there.