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Top 5 Data Science Certifications

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Data science is becoming more crucial as we dive deeper into the world of AI and technology, which means the need for proficient data scientists is growing as well. It is one of the top careers right now due to our high reliance on data for virtually everything. Data science is a complex field, so a certification can help you stand out.

Here is a look at the top data science certifications:

1. IBM Data Science Professional Certificate 

This Professional Certificate from IBM is aimed at those interested in a career in data science or machine learning, as it will help develop the necessary skills and experience. It is open to everyone, with no previous experience in computer science or language programming needed. There is a total of 9 online courses, covering things like open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms.

Here are some of the main aspects of this certification:

  • Hands-on practice in IBM Cloud
  • Real data science tools and real-world data sets
  • Digital badge from IBM
  • Beginner level
  • Duration: 10 months, 5 hours/week

2. HarvardX’s Data Science Professional Certificate

This self-paced Professional Certificate from Harvard helps you develop the skills needed to handle real-world data analysis challenges. This 9-part course covers topics like probability, inference, regression, and machine learning. You will also gain skills in R programming, data wrangling with dplyr, data visualization with ggplot 2, file organization with Unix/Linux, and version control with git and GitHub.

Here are some of the main aspects of this certification:

  • Case studies: Trends in World Health Economics, US Crime Rates, 2007-2008 Financial Crisis, and Election Forecasting
  • R software environment
  • Self-paced
  • Expert instruction
  • Duration: 1 year 5 months, 2-3 hours/week

3. Tableau Data Scientist Learning Path 

This top certification is aimed at those looking to build and deploy end-to-end solutions with machine learning and advanced analytics. It includes building and testing models in R, Python, or other coding languages, and it covers the fundamentals before moving on to intermediate and advanced courses. Some of the main topics include data analysis, deep insights, data prep, visual analytics, and machine learning.

Here is a look at some of the main aspects of this certification:

  • Simulations and tuning models for enterprise production
  • Building views and interactive dashboards
  • Become a Tableau power user
  • Requires a solid foundation with Tableau
  • Advanced uses for calculations and chart techniques

4. Business Analytics Specialization 

This certification developed with Wharton School of the University of Pennsylvania is a foundational introduction to big data analytics. It is specifically targeted at business professions like marketing, human resources, operations, and finance. It is a beginner course that requires no prior experience in analytics.

Here are the main aspects of this certification:

  • 5-part course: Customer Analytics, People Analytics, Accounting Analytics, Operations Analytics, and Business Analytics Capstone
  • Strategic decisions based on data
  • Using real-world data sets for business strategy
  • Beginner level
  • Flexible schedule
  • Duration: 6 months, 3 hours/week 

5. Advanced Business Analytics Specialization

This certification offered by University of Colorado Boulder brings together academic professionals and experienced practitioners. It focuses on real world data analytics that can help grow businesses, increase profits, and create maximum value for shareholders. You will gain skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and interpreting and presenting analytic results.

Here are the main aspects of this certification:

  • Conceptual models of business and simple database models
  • Develop models for decision making
  • Basic Excel and software tool Analytic Solver Platform (ASP)
  • Intermediate level
  • Duration: 5 months, 3 hours/week

As everything in our world quickly becomes reliant on data, and as artificial intelligence becomes crucial in many sectors, data science skills are vital. It is also important to recognize that these skills are not only limited to those pursuing a data scientist career. They are just as important for other employees in an organization, as the changing work environment requires everyone to at least think like a data scientist. By completing one or more of these certifications, you will be valued as one of those individuals.

Alex McFarland is a historian and journalist covering the newest developments in artificial intelligence.