Master Python for data analysis and visualization with comprehensive video lessons and sample code. Enhance your data science skills and build a strong portfolio.
This course is all about mastering Python for data science! You’ll dive into coding, analyzing vast datasets, and creating awesome visuals—all while building a portfolio that'll impress future employers. And guess what? You'll have lifetime access to loads of helpful materials!
Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!
This course will give you the resources to learn python and effectively use it analyze and visualize data! Start your career in Data Science!
You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.
You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!
By the end of this course you will:
- Have an understanding of how to program in Python.
- Know how to create and manipulate arrays using numpy and Python.
- Know how to use pandas to create and analyze data sets.
- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.
- Have an amazing portfolio of example python data analysis projects!
- Have an understanding of Machine Learning and SciKit Learn!
With 100+ lectures and over 20 hours of information and more than 100 example python code notebooks, you will be excellently prepared for a future in data science!
Please make sure you read the entire page to understand if the course is the correct version for you.
Have an intermediate skill level of Python programming.
Use the Jupyter Notebook Environment.
Use the numpy library to create and manipulate arrays.
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Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill...
At Pierian Training, our mission is to empower individuals and employees with the latest technology skills needed to succeed in the modern workforce.Our courses focus on teaching the most sought-after technical skills by applying real world situations and datasets during our training sessions.It’s one thing to learn a new skill in theory – but it’s another to walk away from...
Pierian Training stands as a premier provider in the realms of Data Science and Machine Learning education, offering both in-person and virtual instructor-led training tailored for enterprises. Explore our comprehensive profile to discover a wide range of courses designed to enhance your professional skills and organizational capabilities. Feel free to contact us if you have any questions in the link...
Best course for working with numpy and pandas
Good content
Amazing
This is great. I am learning to use Pandas on Python very quickly
Hasta el momento ha cumplido misespectativas
The course is pretty old and most of the commands used have been deprecated by Python. They are not available in Python3. Also, the data source for all the case studies is not available online as the websites have been updated/deleted. This course needs to be updated or deleted because it will not teach you the practical stuff. You can use it to understand basics, but I do not recommend this course if you want to learn python from scratch and actually use it in your work.
Amayzing! Thank you
I am sorry i've never come across any other Instructor like you. I only listened to section 14: python overview part 1 and am blown away. Even a dog and a toddler should be able to get it. Your teaching is superb!
why python2?
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Jose T.
It was a good course, however a little outdated but it is great to improve your data analysis skills and apply them to projects. If this course was updated i, i would give it a 5/5.