CNH - Adição de Categoria
O condutor que precisa fazer a mudança ou adição de categoria na CNH deve ter no mínimo 21 anos (para as categorias D e E), ter o documento em situação regular, não ter cometido nenhuma infração grave, gravíssima ou ser reincidente em infrações médias durante os últimos doze meses
What you'll learn
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Have an intermediate skill level of Python programming.
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Use the Jupyter Notebook Environment.
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Use the numpy library to create and manipulate arrays.
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Use the pandas module with Python to create and structure data.
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Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
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Create data visualizations using matplotlib and the seaborn modules with python.
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Have a portfolio of various data analysis projects.
Course content
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Preview 03:08
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Preview 00:12
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09:33How to Get the Most Out of the Course
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02:58Setup Packages
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06:39How to Get Help When You're Stuck
Requirements
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Basic math skills.
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Basic to Intermediate Python Skills
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Have a computer (either Mac, Windows, or Linux)
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Desire to learn!
Description
PLEASE READ BEFORE ENROLLING:
1.) THERE IS AN UPDATED VERSION OF THIS COURSE:
"PYTHON FOR DATA SCIENCE AND MACHINE LEARNING BOOTCAMP"
2.) IF YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE "COMPLETE PYTHON MASTERCLASS JOURNEY"!
CLICK ON MY PROFILE TO FIND IT. (PLEASE WATCH THE FIRST PROMO VIDEO ON THIS PAGE FOR MORE INFO)
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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!
Who this course is for:
- Anyone interested in learning more about python, data science, or data visualizations.
- Anyone interested about the rapidly expanding world of data science!
Instructor
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4.6 Instructor Rating
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874,837 Reviews
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2,763,599 Students
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48 Courses
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 and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.
Student feedback
Reviews
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At the age of 50 this course has clearly highlighted the need for continuous development and course is well presented and useful in my consulting business
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It was very important knowledge for me... I started to like data analysis and mashine learning...
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Great explanation done by the instructor. The live coding done helps in understanding the process too..
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There was a lot of good stuff in this class and very helpful in getting more acclimated to Seaborn and Matplotlib. My only issue was the class is dated and using python 2 and there were a lot of methods and attributes that are not used anymore.
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The course is great but needs to be updated as certain code is obsolete.
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I would add some more interactive content and explanations about possible applications in practice.
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The app works well and allows me to download and watch offline
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As you get to the visualisation part of this course you will find it very often that the codes the lecturer used is no longer valid. I end up going to Seaborn's website for updated codes. Sometime I figured out, sometime I dont.
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Definitely a lot of useful knowledge, but unfortunately many formulas are out of date, and there is no exercises at all. Course really has to be updated as some of the lectures are useless for newest version of Python.
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Very learning experience, I am a beginner in DS, but Jose Portilla has simplified the contents significantly and has also covered it comprehensively.
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Good explanation
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The instructor knows what he's talking about. And he knows how to teach the stuff. Awesome!