Python is a high-level programming language that is becoming more and more popular for doing Data Science and Machine Learning.
Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant white space.
Python is versatile, and along with its beginner-friendliness, it is now one of the most-used programming languages today. Python is mostly used for developing web and software applications, automation, data science, and machine learning.
Since it is easy to learn Python, non-programmers such as statisticians and journalists, have praised its capabilities for a bootstraping production.
Python is popular for countless reasons.
- Python has a simple syntax that makes it easy to learn and quicker to build projects.
- We can use it for a wide range of tasks, from building websites to creating recommendation models in machine learning.
- It’s beginner friendly, making it suitable for non-programmers.
- It is open source, and also free to use for commercial purposes.
- Python has a massive archive of modules and libraries that other programmers have created.
- Python has a strong that contributes to modules and libraries, and also provided support for other programmers.
If you’re new to programming and want to learn data science, you can begin writing your first Python program in minutes.
In this article, we suggest the best learning paths that will equip you with the fundamental understanding of Python and prepare you to master the key concepts to advance your data science career.
Top Python for Data Science Courses
We’ve curated a list of top-rated courses to learn Python for Data Science so that you can become a data scientist or data analyst to make informed (and hence better) decisions.
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.
Also, this compilation is quarterly updated.
1. Data Scientist with Python — DataCamp
This comprehensive career track provides thorough training to help learners comprehend the versatility of Python for Data Science and Machine Learning. You will in weeks' time learn to import, clean, manipulate, and visualize data — and gain the skills for any aspiring data scientist or analyst.
You will gain cognitive 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.
DataCamp is excellent to learn Python with the guided lectures, exercises and projects. In simple words, this career-track is solid and sufficient for data science novices to jump start their data career.
Is it right for you?
This career track assumes no background in programming or statistics but a staunch commitment.
These courses are developed by the qualified data scientists and machine learning engineers from various industries to help absolute beginners to level up data science skills.
You will, with practice, acquire experience and skills to work with real-world datasets and learn the statistical and machine learning techniques to train decision trees. You will also gain familiarity with natural language processing (NLP) to grow your data science skills.
2. Data Scientist in Python — Dataquest
The data scientist learning path offered by Dataquest offers a practical approach to introduce learners to data science using Python with interactive coding challenges to make inferences and predictions from data.
Data Scientist learning path with the help of Dataquest mentors and student support will equip you to think and solve problems like a data scientist.
Beginner-Level courses in this career track include:
Is it right for you?
If you are a beginner with no experience in programming and understanding Data Science is a big question mark for you, then this course is absolutely the perfect place to start.
Dataquest offers free access to the introductory modules so that learners with no background in programming can evaluate the content before paying for premium services, which include tutored projects.
3. Become a Data Scientist — Udacity
This Nanodegree program offered by Udacity will help you master the Python skills needed to become a successful Data Scientist.
This is a comprehensive learning track that prepares you to on the data science projects designed by industry experts. The learning format is developed to equip you with the sound skills to run data pipelines, build recommendation systems, and design experiments.
You will also learn the fundamental concepts of data engineering and deploy solutions to the cloud.
This program is suitable for learners who want to become qualified for data science and machine learning roles. It has been developed in partnership with top tier companies to help you master the data science skills companies want.
Is it right for you?
You are expected to have a basic understanding about the machine learning concepts, including Python programming skills, and statistics.
This program is excellent for aspiring data scientists to learn from industry experts and work on the real-world projects.
Throughout learning, you'll build a data science portfolio and become qualified to apply for a job in data science, including data analyst and machine learning engineer.
4. Python for Data Science, AI & Development — Coursera
IBM offers this Python course on Coursera. Joseph Santarcangelo, who is a Ph.D., data scientist at IBM with background in machine learning, signal processing, and computer vision, teaches it.
You learn Python fundamentals, including data structures and data analysis. It's designed to provide complete hands-on exercises to help you build skills even through the final project.
You will also learn to work with data in Python using Pandas and NumPy libraries that prepare you for machine learning and Ai.
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.
Upon completion, you’ll be able to use Python to work with data, have a good understanding about machine learning and solve real problems.
This course will prepare you with a solid foundation for learning advanced topics in data science and help you develop the skills to help advance your career.
5. IBM Data Science Professional Certificate – Coursera
IBM has developed this professional certification program to help novices gain the integral data science skills, learn Python & SQL, master data visualization, 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 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.
This program is excellent for gaining competency. You will learn to import and clean data sets, create visualizations, and build and classify machine learning models and data pipelines using Python.
Is it right for you?
There is no prior experience or background in programming required for the enrolment.
You will, from the basics, learn what data science is, the activities involved, and develop cognitive skills to think and function like a data scientist.
By the end, you will have the confidence to apply your data skills, techniques, and tools to complete a project and publish a report.
Python Interview Prep for Data Science
There are few ways you can prove you have the skills you need for a data science job:
- Python experience in data science
- Working knowledge of scientific computing in Python
- Data Structures, iterable objects and representatives
- Ability to Explore Dataset with Pandas
- Python Plotting With Matplotlib
- Data Cleaning with pandas and NumPy
- Data Visualization with Python (Bokeh, Seaborn, GGplot, etc.)
- Python Statistics Fundamentals
- Data Science projects
- Data Science portfolio
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.
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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