Data science skills are some of the most in demand in the IT world today. This short list of vetted data science certifications will have you on your way to becoming an expert data scientist in no time!
Data science skills are imperative for data workers in the modern IT environment. In fact, they’re so important that an entire online marketplace for them sprung up during the early 2020s. Given the continually growing need for expert data scientists to do complex and advanced analytics, this figures to grow more pervasive in the years ahead.
As data volumes and complexity continue to grow, new techniques, technologies, and theories are continually being developed to run advanced analyses. They all require development and programming to ensure a path forward. This further highlights the need for expert data scientists with the analytics skills necessary to tackle real-world problems.
That’s why it’s in this spirit that Solutions Review editors decided to compile this short list of popular and top-rated data science professional certifications to take if your goal is to become an expert data scientist this year. And after you become an expert data scientist this year, we’d love to help you evaluate prospective data science and machine learning vendors.
Note: Courses listed below come recommended by our editors and may be affiliate partners of Solutions Review. As such, Solutions Review may receive a small commission from products purchased through this resource.
Become an Expert Data Scientist
OUR TAKE: With more than 46,000 reviews and 4.6 stars, this self-paced Coursera certificate course is one of the most popular on the web. No degree or prior experience is required to get certified on Python, SQL, and data visualization.
Description: It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to showcase your new talents in the job market as an entry-level data scientist.GO TO TRAINING
OUR TAKE: This Nanodegree program will provide you with real-world data science projects designed by industry experts. It takes an estimated 4 months to complete and starts with solving basic data science problems.
Description: You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. It is recommended that students be familiar with machine learning concepts and Python programming, probability, and statistics.GO TO TRAINING
OUR TAKE: Taking an estimated 3 months to complete, this Udacity Nanodegree will prepare you to get started in a data science career. It will teach you the fundamentals of prominent data programming tools.
Description: Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git. You should feel comfortable performing basic operations on your computer like opening files and folders, opening applications, and copying and pasting.GO TO TRAINING
OUR TAKE: This data science programming training will teach you data programming tools like R, SQL, command line, and git. This module takes roughly 3 months to complete.
Description: Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git. There are no prerequisites for this program, aside from basic computer skills. With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.GO TO TRAINING
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