Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
21 Hour(s) 5 Minute(s)
Language
English
Taught by
Jose Portilla, Pierian Training, Pierian Training
Rating
1 views
Course Overview
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.
Course Content
- 10 section(s)
- 110 lecture(s)
- Section 1 Intro to Course and Python
- Section 2 Setup
- Section 3 Learning Numpy
- Section 4 Intro to Pandas
- Section 5 Working with Data: Part 1
- Section 6 Working with Data: Part 2
- Section 7 Working with Data: Part 3
- Section 8 Data Visualization
- Section 9 Example Projects.
- Section 10 Machine Learning
What You’ll Learn
- 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.
Skills covered in this course
Reviews
-
AABHI VHINU P A
Requires updation
-
KKenis Perez
Great instructor, easy to follow and understand but really outdate information which makes it harder to follow for first time students. All software apps have changed and no longer free to download. Need to create an account and then find out if possible, to download.
-
TTeja Paravastu M
It is like literally running into the concepts as of now rather than chapter wise exercise
-
RRobert Sant
This course could be great, but needs to be both updated and rewritten. Udemy lists this as one of their best sellers, but I would recommend pulling it until it is made current. 1) Has not been updated since 2015...a lot has changed. 2) Jupyter notebooks are written using an older format and need to be hand edited to make work. 3) Pandas 2.0 was released in 2023, making many of the examples obsolete and no longer function because the commands are deprecated. You will spend a great deal of time on Stack Overflow fixing these issues. 4) Examples are written in Python 2.0 which has not been supported since 2020. This requires periodic editing to fix syntax issues.
