The growing demand for skilled data scientists in numerous fields is only natural as data science becomes increasingly crucial to humanity.
Here’s our complete 2024 guide containing 11 best data science certifications to improve your industry knowledge and validate your technical skills:
- Best Data Science Certifications for 2022
- 1. IBM Data Science Certification (Coursera)
- 2. Data Science Council of America (DASCA) Senior Data Scientist (SDS)
- 3. The Data Science Course: Complete Data Science Bootcamp (Udemy)
- 4. Data Scientist Nanodegree by Udacity
- 5. Professional Certificate in Data Science from Harvard University (edX)
- 6. Microsoft Certified: Azure Data Scientist Associate
- 7. Modern Big Data Analysis with SQL (Cloudera)
- 8. Dataquest Certification
- 9. SAS Certified Data Scientist
- 10. Tableau Data Scientist Certification
- 11. Data Science for Everyone by DataCamp
- FREQUENTLY ASKED QUESTIONS (FAQs)
Best Data Science Certifications for 2022
1. IBM Data Science Certification (Coursera)
This data science certification course is aimed to help beginners gain an understanding of the fundamental concepts of data science, the roles, and responsibilities of a data scientist, and how to fluently use data science tools such as IBM cloud, RStudio IDE, and Jupyter Notebooks.
It also provides necessary data science skills that help in building, testing, and training data models.
Pros
- It’s self-paced
- It’s affordable
- No prerequisites
Cons
- Professionals might find the course lacking in depth
- It’s a long course, takes 11 months to complete
Read More: Is IBM Data Science Certification Worth It?
2. Data Science Council of America (DASCA) Senior Data Scientist (SDS)
The Senior Data Scientist (SDS) certification program from DASCA is for experienced data scientists and data engineers with at least five years of analytics expertise.
It digs into Business Intelligence’s roles, how it influences corporate performance, and how you can use it to your advantage.
It’s usually advised for persons who are familiar with statistical analysis, spreadsheets, database management, SPSS, SAS, R programming, and a variety of quantitative methodologies.
This certification has no separate charge for the exams, the cost is covered in the course registration fee.
Pros
- Online Studies
Cons
- Lots of prerequisites
3. The Data Science Course: Complete Data Science Bootcamp (Udemy)
The courses essential to becoming a proficient data scientist are presented in the sequence in which they should be learned in this course.
Each session builds on the previous one, detailing the ins and outs of each topic and helping you to better comprehend data science vocabulary.
So you may start from the beginning and at the conclusion of the boot camp, you’ll be able to cope with real-world challenges and be ready to pursue more advanced specialties.
Pros
- complete toolbox is provided
- learn Python coding
- Solve real-life business cases that will get you the job.
- Question and answer support and community available.
- Most courses are free
Cons
- none
4. Data Scientist Nanodegree by Udacity
Udacity Data Science Nanodegree is worthwhile for people considering a career change to Data Science.
Although Udacity Nanodegrees are neither recognised nor certified by educational institutions, they are recognised globally, and firms like Google, AT&T, Mercedes-Benz, and others have worked with the company.
Before enrolling or considering enrolling in this certification, you will need to be familiar with a few data science concepts and topics.
Udacity aims to provide learners with the most well-rounded training possible, ensuring that they are prepared for any problems that may arise in the real world through coaching, projects, and customized learning.
Length: 4 Months
Pros
- Structured workflow
Cons
- Prerequisites such as machine learning, maths, and statistics, python and SQL is needed
- High Pricing (starting at $399 per month)
5. Professional Certificate in Data Science from Harvard University (edX)
This Harvard Data Science Certification program will teach you core data science fundamentals, such as R and machine learning, via real-world case studies to help you get started in the field.
This intensive curriculum, which spans nine courses, is one of the highest-rated online master’s programs offered on edX, a prominent e-learning platform.
R Basics, Data Visualization, Probability, Inference and Modeling, Productivity Tools, Data Wrangling, Linear Regression, Machine Learning, and a Capstone project are the courses that make up this curriculum.
Simultaneously, you’ll study the R programming language, statistical ideas, and data analysis techniques.
Pros
- Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
- Cover the fundamental R programming skills.
Cons
- It claims that there are no prerequisites for taking this course, although it does require a basic understanding of mathematics.
6. Microsoft Certified: Azure Data Scientist Associate
As more businesses migrate to the Microsoft Cloud, the need for Azure specialists is growing.
Microsoft Azure Certification gives you the authority of a professional.
Certification allows you to learn everything there is to know about cloud technology and receive hands-on experience with it.
The Microsoft Certified Azure Data Scientist Associate course is a certification that evaluates your ability to design and deploy Azure applications. It’s great for folks who wish to learn more about Azure or who are already using it.
Although this is a beginner-level certification course, you will get a knowledge of the subject by studying the essential concepts; nonetheless, prior experience in the relevant field is necessary.
Because the course is largely focused on learning how to use the Azure machine learning service and is taught through hands-on experience, it is ideal for data scientists.
Pros
