Top Data Science Certificates Worth Investing in 2024

Did you know a Data Scientist can earn well over $200,000 annually? (source: Glassdoor). With such high earning potential and a 28% rise in demand over the last five years, the field of data science is more attractive than ever! And if you want a rewarding career in this booming industry, data science certifications have become essential. These certificates not only validate your expertise but also open new opportunities in a rapidly evolving field. In this blog post, we'll explore some of the best data science certificates worth investing in to boost your data science career. 

 

What Is Data Science and What Data Scientists Do? 

Before knowing what certificate, you need to boost your data science career, let's first understand the basics of data science and what data scientists do. 

Data science delves into the thorough examination of massive datasets, which involves the extraction of valuable insights from both structured and unstructured data. This process relies on the scientific method, a variety of technologies, and algorithms to refine and transform raw data into meaningful knowledge.  

And the professionals who specialize in data science– analysis and interpretation of data are data scientists. Their key responsibilities include: 

  1. Data Analysis: To gather, clean, and analyze data to identify patterns, trends, and anomalies, using statistical methods and programming languages to extract valuable insights from large datasets. 

  1. Machine Learning: To develop and implement machine learning models to make predictions and automate decision-making processes by selecting the appropriate algorithms. 

  1. Data Visualization: Creating visual representations of data using tools like charts and graphs to make complex information more accessible and understandable for stakeholders. 

  1. Problem Solving: Collaborating with cross-functional teams to address specific business or research objectives. 

  1. Communication: Data scientists play a critical role in translating data-driven insights into actionable strategies and recommendations for their organizations. 

Data scientists are skilled in data manipulation, machine learning, and data visualization. A data science career is a demanding field in various industries, from technology and finance to healthcare and marketing. 

 

Top Data Science Certifications 

Data science certificates are a valuable investment in your career. Let’s explore some of the best data science certificates worth investing in to supercharge your data science career, before understanding their importance in your career. 

 

DASCA's Principal Data Scientist (PDS™)  

The Principal Data Scientist certification from the Data Science Council of America (DASCA) is for seasoned data science and analytics professionals with extensive experience in data analytics and intelligence. Certificates provided by the DASCA are globally recognized for their quality, vendor-neutral approach, and cross-platform applicability. PDS™ certification is for experts' adept at transforming data and business intelligence systems within organizations.

Total cost— As of 2023, the cost of acquiring the PDS™ certification depends on the track chosen: 

  • For invite-only applicants (Track 1), the fee is $850. 

  • Via Corporate Nomination (Track 2), the fee is $1250. 

  • The fee for those upgrading from SDS™ (Track 3) is $750. 

  • For Open Applications (Track 4), the fee is $1450. 

Certification Details— The PDS™ program offers flexibility in its completion timeline, allowing candidates one year from registration confirmation to pass the exam and fulfill assessment requirements. Typically, candidates should dedicate 8-10 hours per week to their preparation. 

The Program Covers— a structured process that includes registration, preparation using provided learning resources, and completion of four assessment milestones. 

 

DASCA's Senior Data Scientist SDS™  

This senior data scientist certification from DASCA is designed for experienced big data analysts and tech professionals looking to showcase their advanced data leadership skills and remain at the forefront of data science. 

Total Cost— the SDS certification program costs $775, which includes the certification exam, preparation resources, a digital badge, and materials shipping.  

Certification Details— Applicants for the SDS program should have a solid understanding of the latest technology and data science trends with a minimum of four years of experience in research and analytics. Candidates are allotted 6 months to prepare for the SDS certification exam, with a recommended self-study schedule of 8-10 hours per week. The exam is conducted online, offering flexibility in time and location, with digital proctoring ensuring integrity. 

The Program Covers— the transition into data scientist roles within large organizations, fast-tracking their journey toward becoming data leaders, data architects, and business intelligence experts. 

 

IBM Data Science Professional Certificate 

The IBM Data Science Professional Certificate is perfect for beginners in data science and is offered through Coursera. This comprehensive program covers a wide range of data science topics, including data analysis, machine learning, and data visualization. The best part about this course is its practical orientation that makes use of real-world projects and data sets to give you hands-on experience. 

Total Cost— $234, or $39 a month. 

Certification details— This is a five-month certificate program, with a commitment of 10 hours per week, covering ten practical courses. It emphasizes proficiency in tools, programming languages, and libraries used by data scientists. 

The Program Covers— SQL, Python, data visualization, and machine learning with Scikit-learn and SciPy. 

 

Microsoft Certified: Azure Data Scientist Associate 

The Microsoft Certified: Azure Data Scientist Associate certification targets professionals engaged in data science careers within the Azure environment. This certificate validates your expertise in utilizing Azure Machine Learning and ML flow for data science endeavors and is a valuable addition to your portfolio. 

Total Cost— The exam costs approximately $165, depending on the location. 

Certification Details— To obtain this certification, you must successfully pass the Exam DP-100, on Designing and Implementing a Data Science Solution on Azure. This test assesses your proficiency in designing, preparing, training, and deploying machine learning solutions. 

The Program Covers— topics like exploring the Azure Machine Learning workspace, data handling in Azure Machine Learning, and automating machine learning model selection using Azure Machine Learning.  
 

The Amazon Web Services (AWS) Certified Machine Learning  

Offered by Amazon Web Services, this certificate is designed for professionals in development or data science. It's curated for individuals with a minimum of one year's experience in developing, architecting, or managing machine learning workloads within the AWS Cloud. 

Total Cost— The AWS Certified Machine Learning – Specialty exam (MLS-C01) costs $300. 
 

Certification Details— The exam allows candidates 180 minutes to complete it and consists of 65 multiple-choice or multiple-response questions. You can opt to take the exam at a Pearson VUE testing center or as an online proctored exam. AWS also offers various resources, including exam guides and sample questions. 

The Program Covers– expertise in building, training, tuning, and deploying machine learning (ML) models on AWS. 
 

How Can It Benefit Your Career? 

As discussed before, the domain of data science is growing exponentially. And to keep up with it, you need a data science certificate for credibility, skills validation, career advancement, structured learning, network building, industry relevance, career transition, and personal growth. It enhances your career prospects and provides expertise and connections in the data science field. 

A data science certificate provides credibility, validates skills, supports career advancement, and offers structured learning. It can also help you build a professional network and stay current in the industry. While not mandatory, it's an asset in the competitive field of data science. They enhance: 

  • Skills Enhancement: You gain new skills and reinforce your existing knowledge, making yourself more proficient in the field. 

  • Credibility: Earning a recognized data science certificate from a reputable institution or company adds credibility to your resume, making you more attractive to employers. 

  • Career Advancement: Many data science certificates are tailored to different career levels, whether you're starting your journey or aiming for senior roles. They can provide a clear path for career advancement. 

  • Networking: Enrolling in data science certificate programs often allows you to connect with fellow professionals and instructors, expanding your professional network. 

  • Competitive Advantage: A data science certificate will set you apart from other candidates and boost your career. 

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Download Now: An Ultimate Guide to Advancing Your Career with Essential Data Science Skills

Conclusion  

Securing a certification is a smart approach to elevate your career opportunities and position yourself for advancement in the ever-growing field of data science. Data science certificates are valuable for your career as they not only enhance your knowledge but also provide you with the recognition and credibility needed to stand out in a competitive job market. But remember, when choosing a data science certificate, you must consider your career goals, existing skill set, and the program's reputation. By carefully selecting the suitable certification and committing to dedicated learning, you can significantly boost your appeal for professional growth and long-term achievement. 

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