Learn
python and how to use it to analyze,visualize and present data. Includes tons
of sample code and hours of video!
Course
Description
NOTE: IF
YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE "COMPLETE
PYTHON BOOTCAMP"!
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!
What are
the requirements?
- Basic math skills.
- Basic to Intermediate Python
Skills
- Have a computer (either Mac,
Windows, or Linux)
- Desire to learn!
What am
I going to get from this course?
- Over 110 lectures and 21 hours
of content!
- 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.
What is
the target audience?
- Anyone interested in learning
more about python, data science, or data visualizations.
- Anyone interested about the rapidly expanding world of data science!
