We all know what Python is, right? It is a high-level, general-purpose
programming language with enhanced readability. The syntax is also
well-constructed and has an object-oriented approach. This will enable
programmers to write clear and logical code for small and large projects. Data
Science can be broadly defined as a field that extracts insights from
structured and unstructured data using scientific methods and algorithms.
These insights can then be applied across various domains and fields.
It can be used for increasing sales, optimizing workflow, cash flow, etc.
Machine Learning can be defined as a branch of Artificial
Intelligence, or AI, based on algorithms and systems' ability to learn from data, identify patterns and optimize processes. As you can see, Data
Science and Machine Learning can be viewed as complementary.
Python has several libraries like Numpy, Matplotlib, and Pandas, perfect for data science. Numpy is the basis for the Pandas library and makes it easier to perform many mathematical and statistical operations.
Pandas, in turn, were created specifically to work with data and are perfect for
data science work in Python.
Matplotlib can be used to quickly
visualize your data for gaining insights quickly by creating charts, graphs,
etc. Then there is scikit-learn, which is the most popular library for machine
learning work in Python.
5 Best Python Courses for Data Science and Machine Learning
If you want to learn Python but are unsure where to start, don't worry. We have done the hard work for you and compiled a list of the
best online courses for learning data science and machine learning in
Python. These are the courses that will transform you from a novice to a
Python expert within weeks. Keep reading to find out.
This is one of the most insanely popular courses on the Udemy platform, with
close to 500,000 students giving it a 4.7-star rating. You will get lifetime access to more than 25 hours of on-demand video lectures, 13 articles, and 5 downloadable educational resources by purchasing this course.
This course will teach using Numpy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, and Tensorflow. The course will
teach you how to implement machine learning algorithms and use Spark for Big
Data analysis.
This is also one of the most comprehensive courses on this list that will
teach you everything you need to know about the data analysis powers of
Python. By the end of this course, you will have become an expert at analyzing
data and creating visualizations using Python.
Course Duration: 25 hours
Course Rating: 4.7 stars out of 5
Course Instructor: Jose Portilla
Course Price: $14
As the title suggests, this course is somewhat different from all the other
courses on this list. This is because it also doubles up as a hands-on project
in which you will learn how to build a simple dashboard using Python.
Another important thing to note is that this course is part of the IBM Data
Science Professional Certificate and the IBM Analytics Professional
Certificate. You don't need me to tell you the amazing boost an IBM
Certification will give to your career prospects and how cool it will look on
your resume.
Trust me, when a potential employer sees that you have spent the
time and effort to learn more about the topic and earn a certificate, they
will be floored, and you will be able to land your dream job.
Course Duration: 7 hours
Course Rating: 4.5 stars out of 5
Course Instructor: Azim Hirjani
Course Price: $20
By the way, if you find Coursera courses useful, which they are because they
are created by reputed companies and universities around the world, I suggest
you join the
Coursera Plus, a membership plan from Coursera which gives you unlimited access to their
most popular courses, specialization, professional certificate, and guided
projects. It costs around $399/year, but it's completely worth your money as you
get unlimited certificates.
This is a Python course with a major focus on enabling you to build machine
learning algorithms. You will be able to predict future events with the help
of data by using machine learning.
This course will teach you how to create a machine learning prediction solution. This course is also perfect for people looking for a
simple introduction to Python, sci-kit-learn library, and the Jupyter Notebook
Environment.
Course Duration: 2 hours
Course Rating: 4.5 stars out of 5
Course Instructor: Jerry Kurata
Course Price: $145 per year for the Premium plan
You would need a Pluralsight membership to join this course which
costs around $29 per month or $299 per year (14% discount). I highly recommend
this subscription to all programmers as it provides instant access to more
than 7000+ online courses to learn any tech skill. Alternatively, you can also
use their
10-day-free-pass
to watch this course for FREE.
More than 180,000 students have signed up for this course, and almost 10,000 people have liked it on the LinkedIn Learning platform should be enough for you to join this course. But if you are still on
the fence, I will make it easier for you.
In this course, the instructor Lillian Pierson, an expert in Big Data and Data Science, will gradually take you through several
practical data science projects.
Course Duration: 6 hours
Course Instructor: Lillian Pierson
Course Price: $13 per month for an annual subscription
By the way, you would need a LinkedIn Learning membership to watch this
course which costs around $19.99 per month, but you can also watch this
course for FREE by taking their
1-month-free-trail
which is a great way to explore their 16000+ online courses on the latest
technology.
This course has also been created by Jose Portilla, who has a BS and MS in
Mechanical Engineering from Santa Clara University and has years of experience
as an instructor in Data Science and Programming.
You will get lifetime access to more than 44 hours of on-demand video lectures, 6 articles, and 3 downloadable educational resources when you buy this course.
This course will teach you how to conduct feature engineering on
real-world case studies and replicate these situations and data reports.
Course Duration: 44 hours
Course Rating: 4.7 stars out of 5
Course Instructor: Jose Portilla
Course Price: $14
Python Data Science Machine Learning Frequently Asked Questions
What is Data Science?
Data Science is a field that extracts insights from structured and
unstructured data using scientific methods and algorithms. These insights
can then be applied across various domains and fields.
What is Machine Learning?
Machine Learning is a branch of Artificial Intelligence, or AI, based
on the idea that algorithms and systems can learn from data, identify
patterns, and optimize processes. As you can see, Data Science and Machine
Learning can be viewed as complementary.
Is Python useful for Data Science?
Python has several libraries like Numpy, Matplotlib, and Pandas, perfect for data science. Numpy is the basis for the Pandas library and makes it easier to perform many mathematical and statistical operations.
Pandas, in turn, were created specifically to work with data and are perfect
for data science work in Python.
Conclusion
These courses are, by far, the best available on the internet, and you can use
these to master Data Science and Machine Learning in Python. By taking any of
these courses, you will be able to transform yourself from a complete beginner
to a Python expert in weeks.
Other
Python Programming Articles you may like
Thanks for reading this article so far. If you liked this list of the Best
Python Courses for Data Science and Machine Learning, feel free to share it
with your friends and family.
P. S. - If you want to learn Python from scratch but can't
afford these online training courses or looking for a free resource to, start
with Python programming, I suggest you look at this a
list of free Python programming courses
from Udemy. It's completely free, and all you need is a free Udemy account
to enroll in this course. More than 490,000 students have already
learned Python from this course.
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