Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!
All Levels, – 21 hours, 110 lectures
Average rating 4.4/5 (4.4 (3,186 ratings) Instead of using a simple lifetime average, Udemy calculates a course’s star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.)
Course requirements:
Basic math skills.
Basic to Intermediate Python Skills
Have a computer (either Mac, Windows, or Linux)
Desire to learn!
Course description:
PLEASE READ BEFORE ENROLLING:
1.) IF YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE “COMPLETE PYTHON BOOTCAMP”!
2.) THERE IS AN UPDATED VERSION OF THIS COURSE: “PYTHON FOR DATA SCIENCE AND MACHINE LEARNING” CLICK ON MY PROFILE TO FIND IT.
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!
Full details
Have an intermediate skill level of Python programming.
Use the Jupyter Notebook Environment.
Use the numpy library to create and manipulate arrays.
Use the pandas module with Python to create and structure data.
Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
Create data visualizations using matplotlib and the seaborn modules with python.
Have a portfolio of various data analysis projects.
Full details
Anyone interested in learning more about python, data science, or data visualizations.
Anyone interested about the rapidly expanding world of data science!
Reviews:
“Very organized. Easy to understand. I guess notes will be useful in future work as well. One thing that could be better was I think this course needs more exercises.” (Shogo Shimada)
“Lectures are easy to follow. Very good introduction to data analysis and machine learning with python.It covers numpy,pandas and seaborn and provides a solid foundation for deeper dive into machine learning with python.” (Vipin Vijayachandran)
“Very knowledgeble but it would have been nice if explained all concepts instead of providing links to the resoruces.” (L Ventana Rama Raju)
About Instructor:
Jose Portilla
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 training courses to a variety of companies all over the world, including top banks such as Credit Suisse. Feel free to contact him on LinkedIn for more information on in-person training sessions.
Instructor Other Courses:
Scala and Spark for Big Data and Machine Learning Jose Portilla, Data Scientist (155) $10 $195
Python for Data Science and Machine Learning Bootcamp
Data Science and Machine Learning Bootcamp with R
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