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 bootstrapping production. If you’re new to programming and want to learn data science, you can begin writing your first Python program in minutes.
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.
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 5 Best Python Courses for Data Science
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.
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.
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 in Python
Dataquest offers a Data Scientist with 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.
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.
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.
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 Nano-degree 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.
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.
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.
5. 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.
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.
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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