The 22 Best Python Certifications Online to Consider in 2021 Leave a comment


The Best Python Courses Certifications

The editors at Solutions Review have compiled this list of the best Python certifications online so you can grow your skills for work.

SR Finds 106Python is an object-oriented programming language comparable to Perl, Ruby, Scheme and Java. It utilizes an elegant syntax that makes the programs you write easier to read, and it is ideal for prototype development and other ad-hoc tasks. Python comes with a large standard library that supports many common programming tasks as well, including connecting to web servers, searching text with expressions, and reading and modifying files. The language can be extended by adding new modules as well.

With this in mind, we’ve compiled this list of the best Python certifications from leading online professional education platforms and notable universities. The certifications listed offer students the training they need to develop new skills and advance their careers. This is not an exhaustive list, but one that features the best Python certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Review’s personal take on each.

The Best Python Certifications

TITLE: IBM AI Engineering Professional Certificate

OUR TAKE: This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer. The intermediate-level module will take roughly 8 months to complete.

Platform: Coursera

Description: You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.

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TITLE: IBM Applied AI Professional Certificate

OUR TAKE: This Professional Certificate is designed to arm you with the skills to work as an AI developer. The beginner-level module touts a flexible schedule and takes students about 6 months to complete based on time spent.

Platform: Coursera

Description: This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.

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TITLE: IBM Data Analyst Professional Certificate

OUR TAKE: This IBM data analyst certification module touts 4.7 stars with more than 3,000 reviews. It allows students to build job-ready data analyst skills, and no degree or prior experience is required.

Platform: Coursera

Description: Learn the foundational skills required for an entry-level data analyst role through this nine-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics.

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TITLE: IBM Data Analytics with Excel and R Professional Certificate

OUR TAKE: Offered by IBM, this beginner-level certification module teaches students to utilize Excel spreadsheets for data analysis, create relational databases and tables, and complete the analytic process.

Platform: Coursera

Description: This Professional Certificate is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. Through these eight online courses, you will dive into the role of a data analyst or data scientist and develop the essential skills you need to work with a range of data sources and apply powerful tools, including Excel, Cognos Analytics, and the R programming language.

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TITLE: IBM Data Science Professional Certificate

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

Platform: Coursera

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.

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TITLE: IBM Full Stack Cloud Developer Professional Certificate

OUR TAKE: This beginner-level Coursera certification will help you master cloud-native and full-stack development. Students can expect to complete this module in 13 months by spending two hours per week.

Platform: Coursera

Description: Guided by experts at IBM, you will learn to build your own cloud-based applications and practice working with the technologies behind them. This program consists of 10 courses with ample instructional content as well as hands-on exercises and projects designed to hone your skills and help you build your portfolio.

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TITLE: Google IT Automation with Python Professional Certificate

OUR TAKE: This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand Python, Git and IT automation skills to help you advance your career.

Platform: Coursera

Description: This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You’ll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the cloud.

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TITLE: IBM Machine Learning Professional Certificate

OUR TAKE: This intermediate-level IBM module provides certification for an array of machine learning techniques and takes approximately 6 months to complete at a suggested pace of 3 hours per week.

Platform: Coursera

Description: This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. It also complements your learning with special topics, including Time Series Analysis and Survival Analysis.

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TITLE: Data Structures and Algorithms

OUR TAKE: In partnership with George Tech, this edX training will provide certification in data structures, data visualization, tree data structures and data analysis in 5 months at a recommended pace of 9-to-10 hours per week.

Platform: edX

Description: Learn how to differentiate between linear data structures like linkedlists, arrays, arraylists, stacks, and queues, and select the correct structure for a given situation. Analyze data structure performance with the course visualization tool.

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TITLE: Machine Learning Certification

OUR TAKE: Experfy and Harvard Innovation Labs, in collaboration with subject matter experts, prepare you for a career in machine learning. The certification features 12 self-paced courses for career-minded students.

Platform: Experfy

Description: Experfy’s Machine Learning Certification program was molded by industry experts to arm you with the skills that you need to succeed in this ever-evolving job market. You will learn popular machine learning algorithms such as Supervised Learning: Decision Trees, Naïve Bayes Classification, Ordinary Least Squares Regression, Logistic Regression, Support Vector Machines; Unsupervised Learning: Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition along with Python code examples tackling real-life use cases from different industries.

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TITLE: AI & Emerging Technologies Course Track

OUR TAKE: Experfy and Harvard Innovation Labs, in collaboration with subject matter experts, prepare you for a career in AI and emerging technology. This module features 8 self-paced courses and Harvard-incubated experts to help you meet your goals.

Platform: Experfy

Description: Learn about the technologies that are changing the world to learn the skills that are most in-demand. Courses include Introduction to Artificial Intelligence, Machine Learning Fundamentals, Deep Learning Applications, Introduction to Python, Tableau for Data Visualization, Why Big Data is so important today, Internet of Things, and Blockchain Technology Fundamentals.

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TITLE: Artificial Intelligence Engineer

OUR TAKE: This certification includes live Master Classes and AMA sessions with IBM leadership, more than 190 hours of educational content led by industry leaders, and a capstone plus 15 real-life AI projects.

Platform: Simplilearn

Description: Ensure career success with this artificial intelligence course, in collaboration with IBM. Featuring exclusive IBM hackathons, masterclasses and ask-me-anything sessions, this AI certification training helps you master key concepts including data science with Python, machine learning, deep learning, and natural language processing Moreover, get job-ready AI training with live sessions, practical labs, and projects.

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TITLE: Big Data Engineer Master’s Program

OUR TAKE: This program includes live interaction with IBM leadership, more than 120 hours of live interactive learning, a capstone, and 15 real-life projects. Students earn a certificate for each course completed.

Platform: Simplilearn

Description: This Big Data Engineer Master’s Certification program in collaboration with IBM provides online training on the best big data courses to impart skills required for a successful career in data engineering. Master the big data and Hadoop frameworks, leverage the functionality of AWS services, and use the database management tool MongoDB to store data.

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TITLE: Business Analyst Master’s Program

OUR TAKE: Starting with the Certified Business Analysis Professional course, this Simplilearn master’s program touts more than 150 hours of live interactive learning and a capstone built on datasets from Unilever and Amazon.

Platform: Simplilearn

Description: This globally recognized Business Analyst Certification course is designed to train you on all three aspects of business analysis – planning and monitoring, requirements elicitation, and requirements management and communication. Become job-ready by learning the latest tools, working on real-world projects, and attending Master Classes from IBM experts.

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TITLE: Data Analyst Master’s Program

OUR TAKE: This certification includes live Master Classes and AMA sessions with IBM leadership, more than 120 hours of educational content led by industry leaders, and a capstone plus 15 real-life projects.

Platform: Simplilearn

Description: This Data Analyst Master’s Program in collaboration with IBM will make you an expert in data analysis. In this Data Analyst certification course, you’ll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

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TITLE: Data Scientist Master’s Program

OUR TAKE: This certification includes live Master Classes and AMA sessions with IBM leadership, more than 220 hours of educational content led by industry leaders, and a capstone plus 15 real-life data science projects.

Platform: Simplilearn

Description: This Data Science course, in collaboration with IBM, features exclusive IBM hackathons, masterclass, and ask-me-anything sessions for the best training experience. This data scientist certification training provides hands-on exposure to key technologies including R, Python, machine learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.

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TITLE: AI Programming with Python Nanodegree

OUR TAKE: This module will certify you in 3 months time (by spending 10 hours per week). Students will learn Python, NumPy, pandas, Matplotlib, PyTorch and a variety of advanced math skills.

Platform: Udacity

Description: Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation). Formal prerequisites include basic knowledge of algebra, and basic programming in any language.

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TITLE: Programming for Data Science with Python Nanodegree

OUR TAKE: This certification will teach you fundamental data programming tools and takes 3 months to complete. It is offered in collaboration with Mode Analytics.

Platform: Udacity

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. There are no prerequisites for this program, aside from basic computer skills.

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TITLE: AI Programming with Python

OUR TAKE: This program will certify you in the foundations of building your own neural network. It takes roughly 3 months to complete at a recommended pace of about 10 hours per week.

Platform: Udacity

Description: Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation). Formal prerequisites include basic knowledge of algebra and basic programming in any language.

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TITLE: Full Stack Web Developer

OUR TAKE: This certification will equip you with the skills needed to build database-backed APIs and web applications. Learners should expect to spend 4 months on this module. Prior experience with Python is recommended.

Platform: Udacity

Description: A graduate of this program will be able to design and build databases for software applications, create and deploy database-backed web APIs, and secure and manage user authentication and access control for an application backend. Students will also learn how to deploy a Flask-based web application to the cloud using Docker and Kubernetes.

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TITLE: Learn to Code

OUR TAKE: Udacity’s programming 101 will get you started on your path to a career in web and app development, machine learning, data science and AI. No coding experience is required. This module can be completed in roughly 4 months if you spend 10 hours per week.

Platform: Udacity

Description: Learn the basics of programming through HTML, CSS, and Python. Explore possible programming paths with our final project selection. Get confident in your ability to think and problem-solve like a programmer. Be primed and ready for our career-ready programs after mastering these projects.

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TITLE: Learn Intermediate Python

OUR TAKE: This certification will equip you with practitioner-level skills in Python. Students can expect to complete it in 2 months by spending an average of 10 hours per week. Basic Python skills are required.

Platform: Udacity

Description: The Intermediate Python Nanodegree program equips you to leverage the capabilities of Python and streamline the functionality of applications that perform complex tasks, such as classifying files, data mining a webpage, etc. By the end of the program, you’ll have a portfolio that demonstrates your ability to apply practicioner-level Python skills on the job.

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Timothy King

Tim is Solutions Review’s Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

Timothy King

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