Top Certification Courses in Analytics and Data Science for 2026
Introduction
Data is the new oil, and analytics is the engine that converts it into business value. According to the US Bureau of Labor Statistics, the demand for data science skills will drive a 27.9% rise in employment in the field through 2026. An IBM report estimates that data and analytics job openings globally will reach 364,000 in 2020.
With the increasing demand, the competition is also heating up. Having relevant certifications on your resume is a great way to stand out and demonstrate your skills to employers. A recent Glassdoor study found that 8 out of the top 10 highest paying jobs in the US are analytics and data science roles, with the median base salary of $134,000. Clearly, investing in certifications can lead to lucrative career opportunities.
In this article, we will break down the top certification courses for 2024 across key areas – SAS, R, Python programming, machine learning, big data and Spark. Our aim is to provide you with actionable information and insights to help you make the best decision for your career growth.
Ranking Criteria
To determine the best courses out there, we evaluated them based on the following factors:
Coverage (30%): How comprehensive is the curriculum? Does it cover the fundamentals as well as advanced concepts? Are there sufficient hands-on exercises and projects?
Quality (30%): How engaging and well-structured is the content? How qualified and reputable are the instructors? What is the production quality of the video lessons?
Industry Recognition (20%): Is the certification well-known and valued by employers? Will it help you stand out in the job market?
Value for Money (20%): Considering the pricing, duration and additional benefits, is the course worth the investment?
Let‘s dive in and explore the top contenders across categories!
SAS Programming Certifications
SAS (Statistical Analysis System) is one of the most widely used tools for statistical analysis, data management and business intelligence. According to a 2019 Dice report, SAS is the second fastest growing technical skill, with a 179% year-over-year increase in job postings. Here are the top SAS certifications to boost your career prospects:
1. SAS Certified Specialist: Base Programming Using SAS 9.4
- Offered by: SAS Institute
- Price: $180
- Duration: 2-3 months (self-paced)
This is the foundation level certification for SAS programmers. It covers topics like:
- Navigating the SAS environment
- Reading various data sources into SAS
- Creating and formatting SAS variables
- Subsetting and combining SAS data sets
- Creating summary reports
The exam has 70 multiple-choice questions to be completed in 120 minutes. You need a score of 70% or higher to pass. Over 90,000 professionals worldwide are SAS Base Programming certified.
Shashank Kalanithi, a data scientist at Fractal Analytics, says:
The SAS Base Programming Certification is a great way to start your analytics career. It tests your understanding of the core building blocks of SAS programming. The certification demonstrates that you can effectively manipulate and analyze data using SAS, which is a valuable skill in any industry.
2. SAS Certified Professional: Advanced Programming Using SAS 9.4
- Offered by: SAS Institute
- Price: $180
- Duration: 3-4 months (self-paced)
This advanced certification is the next step after the base programming one. It covers topics like:
- Advanced DATA step programming techniques
- Macro processing
- Efficiency techniques
- Advanced report writing and graphics
- Advanced functions and PROC statements
The exam has 60-65 multiple-choice questions to be completed in 120 minutes. A score of 70% or higher is needed to pass. This certification really helps you stand out as an expert SAS programmer.
Peter Nistrup, CEO of Analytikus Consulting, shares:
The SAS Advanced Programming Certification takes your skills to the next level. It demonstrates your ability to write complex, efficient SAS code and tackle advanced data manipulation tasks. In my experience, certified advanced programmers are highly sought after and command premium salaries in the analytics job market.
Benefits of SAS Certifications
According to PayScale, the average salary for a SAS Programmer is $77,857 per year. However, those with the Base Programming Certification earn 8% more on average, while those with the Advanced Certification earn 16% more.
Besides the pay boost, SAS certifications offer several advantages:
- Validate your expertise and set yourself apart in a competitive job market
- Expand your analytics skillset with industry best practices
- Increase your confidence by gaining hands-on problem solving experience
- Enhance your credibility and unlock new job opportunities
- Demonstrate your commitment to continuous learning
Data Science using Python Certifications
Python is the most popular programming language for data science and machine learning. Its ease of use, powerful libraries (NumPy, Pandas, Matplotlib, Scikit-learn), and strong community support make it the go-to language for analytics professionals. Here are our top picks for Python data science certifications:
1. IBM Data Science Professional Certificate on Coursera
- Offered by: IBM
- Price: Free to audit, $39/month for certificate
- Duration: 10 months (3-4 hours/week)
This beginner-friendly program teaches job-ready skills for data science and machine learning using Python. It covers the entire data science workflow through 9 hands-on courses:
- What is Data Science?
- Tools for Data Science
- Data Science Methodology
- Python for Data Science and AI
- Databases and SQL for Data Science
- Data Analysis with Python
- Data Visualization with Python
- Machine Learning with Python
- Applied Data Science Capstone
You‘ll complete a series of practical projects, including analyzing datasets, building machine learning models, and creating visualizations. The program concludes with a capstone project where you‘ll apply your skills to solve a real-world data science problem.
Over 270,000 students have enrolled in this certificate program, with a 4.6/5 rating from 50,000+ reviews. Graduates have landed data science jobs at companies like JP Morgan Chase, Apple, Accenture, Infosys.
Masooma Hussain, who completed the program, says:
Coming from a non-technical background, I was hesitant about transitioning into data science. But the IBM certificate program on Coursera was the perfect launchpad. The instructors explain complex concepts in an easy-to-understand way, and the hands-on projects give you the confidence to apply your skills. Thanks to this program, I was able to make a successful career switch into data science.
2. Applied Data Science with Python Specialization on Coursera
- Offered by: University of Michigan
- Price: Free to audit, $79/month for certificate
- Duration: 5 months (4-5 hours/week)
This intermediate-level program is designed for learners who have basic Python skills and want to use powerful tools like Pandas, Matplotlib, Scikit-learn, and NLTK to analyze data. It includes 5 courses:
- Introduction to Data Science in Python
- Applied Plotting, Charting & Data Representation in Python
- Applied Machine Learning in Python
- Applied Text Mining in Python
- Applied Social Network Analysis in Python
Through the courses, you‘ll learn to conduct an inferential statistical analysis, discern whether a data visualization is good or bad, enhance a machine learning analysis, and leverage graph algorithms to describe the connectivity of a social network.
The program has over 360,000 enrollments and a 4.5/5 rating. Learners appreciate the high-quality instruction, challenging assignments, and supportive forums.
Jonathon Leung, a business intelligence analyst, shares his experience:
As someone who uses Python daily at work, I can say that this specialization is extremely relevant and well-designed. The courses go deep into the most important data science libraries and teach you how to use them through hands-on case studies. The assignments are challenging but rewarding. I was able to apply many of the techniques I learned directly in my job. Highly recommended!
Benefits of Python Data Science Certifications
According to the 2020 Stack Overflow Developer Survey, Python is the most wanted programming language, with 30% of developers who don‘t use it saying they want to learn it.
Employers are seeking professionals with strong Python skills for data science roles. Some of the top benefits of earning a Python data science certification include:
- Master the most in-demand language for data science and ML
- Build a strong portfolio of data science projects to showcase to employers
- Learn the latest tools and frameworks used in the industry
- Develop a data-driven mindset and problem-solving approach
- Increase your earning potential and job opportunities
According to PayScale, the average salary for a Data Scientist with Python skills is $95,257 per year. Those with certifications can earn up to 20% more.
Emerging Trends and Skills
As the field of data science and analytics continues to evolve, it‘s crucial to stay updated with the latest trends and technologies. Here are some of the key skills that will be most valuable in the coming years:
Cloud Computing
More and more businesses are adopting cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud for their data storage, processing, and analytics needs. Data scientists and analysts who are proficient in cloud technologies will be in high demand.
Artificial Intelligence and Machine Learning
AI and ML are transforming industries and driving new innovations. Skills like deep learning, computer vision, natural language processing (NLP) will be increasingly sought after. Tools and frameworks like TensorFlow and PyTorch are must-haves in your toolkit.
AutoML and No-Code Platforms
As organizations seek to democratize data science, there is a growing trend towards automated machine learning (AutoML) solutions and no-code platforms. While these tools can‘t replace data scientists, they can help automate routine tasks and enable faster experimentation. Familiarity with AutoML will be an added advantage.
Data Ethics and Governance
With the increasing use of data comes the responsibility to use it ethically and protect user privacy. Data scientists need to be aware of ethical considerations, data governance frameworks, and regulations like GDPR. Skills in data anonymization, bias detection, and explainable AI will be highly valued.
Conclusion
As the demand for analytics and data science professionals continues to soar, investing in certifications is a smart way to future-proof your career. The top certifications we‘ve covered – SAS, Python, R, machine learning, big data, and Spark – are highly valued by employers worldwide and can help you command higher salaries and better job opportunities.
However, remember that certifications are not a silver bullet. They need to be complemented with real-world experience, continuous learning, and soft skills like communication and business acumen. Participate in data science competitions, work on personal projects, contribute to open-source, and engage with the community to maximize your growth.
We‘d love to hear your thoughts and experiences. Which certifications have you found most valuable in your data science career? What skills are you planning to learn next? Let us know in the comments below!
