If you’re new to programming and want to learn data science, consider learning Python. Enrolling in a Python course for data science is the most effective way to build the foundational skills you need to become equipped for learning advanced concepts.

Since it is easy to learn Python, even non-programmers such as statisticians and journalists, have praised its capabilities for a bootstrapping production.

To help you evaluate your options, we’ve curated a comprehensive comparison of top job-oriented Python courses that build you up with the fundamental understanding of data science practice.

5 Best Python for Data Science Courses

You should aim to learn how to build a wide range of different data visualizations and web scraping tasks. Python is also powerful and easy to learn libraries that enable data science learners to write programs for scraping the data from the web and using that data to create bar graphs, pie charts, histograms, and more.

Read on to see how these courses stack up and find out how to choose the course that’s right for you to learn data science skills.

Data Scientist with Python

DataCamp's career-focused Data Scientist with Python learning track provides hands-on training to help learners comprehend the versatility of Python. With hands-on practice, you'll build understanding and skills to work with real-world datasets and learn the statistical and ML techniques for working on data science projects.

It is one of the most exhaustive of its kind — you'll gain scientific skills along the way to perform data analysis as you work with Excel, SQL, SAS, and create data visualization using the statistical calculations to communicate results. You'll also develop familiarity with natural language processing (NLP) to grow your deep learning skills.

Career Outcome

The curriculum used by this career-track focuses heavily on allowing you to build statistical programming skills. This approach aims to equip you with the essential data science skills and experience you need to match market demand and walk into an entry-level data science job.

Is it right for you?

DataCamp focuses on providing learners with as many hands-on skills as possible in order to equip them for the best data jobs. The qualified researchers from various industries developed these high-quality Python courses to help absolute beginners to level up data science skills. This program assumes no background in programming or statistics but a staunch commitment.

Data Scientist with Python — DataCamp

Become a Data Scientist

Udacity’s Data Scientist Nano-degree program is aimed at a range of individuals, ranging from novices looking to enter a career in data science to those looking to expand their skills in their current position by developing data science know-how.

The program is extensive and covers everything you need to prepare for a career in data science, including Python, SQL, and Statistics. You will learn the fundamental concepts of software engineering and deploy solutions to the cloud. It even covers data engineering and machine learning concepts imperative to data science.

Data Scientist Nanodegree in Python by Udacity

Career Outcome

The curriculum provides structure and mentorship to equip you with the technical skills to solve data science problems. The learning format builds you up with hands-on experience and skills to run data pipelines, build recommendation systems, and design experiments. Throughout learning, you'll build a data science portfolio and become qualified to apply for a data job.

Is it right for you?

This Nanodegree program has been developed by industry experts to help learners master the data science skills companies want. You are expected to have a basic understanding about the machine learning concepts, including Python programming skills, and statistics. It is excellent for aspiring data scientists to learn from data science experts and work on the real-world projects.

Become a Data Scientist by Udacity

Python for Data Science, AI & Development — Coursera

IBM Python for Data Science course offers a flexible, self-paced curriculum for learning Python fundamentals, including data structures and data analysis with hands-on exercises and guided lectures to equip you to create a final project to demonstrate your technical skills.

Career Outcome

This course will establish you with a solid foundation for learning advanced programming and data science. It is divided into five modules, each covering a different aspect of Python and data science. You will build skills to work with Python libraries — Pandas and NumPy for data science and machine learning.

Is it right for you?

There is no programming experience required and this course can be applied to multiple specializations or Professional Certificates programs offered by IBM on Coursera. This course is a good choice for those wishing to build a data skill set and level up in their current field, as well as those looking for a career change.

Python for Data Science, AI & Development — Coursera

Data Scientist in Python

Dataquest offers a Data Scientist in Python learning path that gives learners access to interactive coding challenges to make inferences and predictions from data. It covers statistical analysis, web-scraping, data visualization, machine learning algorithms, and more.

Course instructors are industry experts with years of experience in data science and machine learning who continue to work at world-leading companies. Learning from competent data science workforce means that learners receive up-to-date information, techniques, and insight from the industry they’re soon to join.

Career Outcome

Assembled to combat the current shortage of data professionals, this Data Scientist learning path combines immersive learning, portfolio development with guided projects, and career development in order to create job-ready data science professionals. This program will equip you to think and solve problems like a data scientist.

Is it right for you?

If you’re not sure about data science, and you want a low-cost but thorough program, this might be one of the best options around. It is practically suitable for absolute beginners to master mandatory data scientist technical skills, including Python libraries like scikit-learn, Matplotlib, NumPy, and pandas.

Data Scientist in Python — Dataquest

IBM Data Science Professional Certificate

IBM Data Science Professional Certificate program helps novices gain the integral data science skills, learn Python and SQL, master data visualization, and build machine learning models.

This program comprises 10 courses, designed to help you master the basics and understand the important topics for data science and machine learning. You will learn to import and clean data sets, create visualizations, and build and classify machine learning models and data pipelines using Python.

Career Outcome

This program is excellent for gaining competency. You will develop hands-on skills using the popular data science tools, programming languages, pre-written modules and libraries used by data scientists and machine learning engineers.

Is it right for you?

There is no prior experience required for the enrolment. You will, from the starting point, learn what data science is, the activities involved, and develop cognitive skills to think and function like a data scientist. This program will help you build confidence in applying your analytical skills, techniques, and tools to complete a project and publish a report.

IBM Data Science Professional Certificate — Coursera

Do you need a Python Certification for Interviews

There is no governing authority for Data Science Certifications, including Python certifications. It is also possible to get a “data science certificate” without writing a single line of Python code or validating skills.

Most Data Science certification programs have no form of identity verification and there is no governing authority. However, some notable data science educators we have mentioned in this article provide accomplishment certifications that can be useful for internships and even jobs.

End Note

Python is a high-level programming language, and these are just a few job titles that may use Python, like Data analyst, Data scientist, Software Engineer, Data Journalist, etc

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