Python and Data Science - Data Visualization, Introduction t

Python and Data Science - Indexing, Slicing NumPy Arrays

Have you ever thought about understanding the basic concepts of Data Science by doing some simple hands-on activities. In this course, we will focus on Indexing, Slicing NumPy Arrays with hands on examples.

Course curriculum

1. Prerequisites for this course
2. Notebook which we will be using in this course
3. Different ways to create NumPy array
4. Creating more dimensions
5. Alternative ways to fill the array
6. Range function
7. Including floats
8. Challenge problem
9. Challenge answer
10. Indexing explained
11. Update specific element values
12. Specify negative step
13. Challenge problem
14. Challenge answer hint
15. Multi dimensional array index
1. Recap of what we have covered so far
2. Challenge answer
3. Shape of an array
4. Shape of an array activities explained
5. Shape of an array activities explained
6. Multi dimensional array shape
7. Multi dimensional array index explained
8. Creating multi dimensional array
9. Accessing multi dimensional array
10. Accessing multi dimensional array explained
11. Walk through another single element access example
12. Accessing range of rows/columns
13. Congratulations on completing this course!

About this course

$295.00
28 lessons
1.5 hours of video content

What others are saying about this course

My Review

Adam Elmongy

I like dthat a lot of examples were given, would have just liked to have an empty notebook that I could fill in along with the course and so that the challen...

Read More

I like dthat a lot of examples were given, would have just liked to have an empty notebook that I could fill in along with the course and so that the challenge answers aren't in it while also having the completed notebook to refer to if needed.

Python and Data Science - Indexing, Slicing NumPy Arrays

Ayooluwakiitan Okesanya

This course was very easy to follow and went at a good speed. The explanations were thorough making it easy to learn.

This course was very easy to follow and went at a good speed. The explanations were thorough making it easy to learn.

Good Course

Albert Wang

Good course, well made.

Good course, well made.

okay

Hannah Li

it was overall pretty well made, but there were some awkward pauses here and there

it was overall pretty well made, but there were some awkward pauses here and there

Hands on practice

Raina Hu

Very clear, logical structure. I find that the concepts and methods all build on each other and I particularly appreciate the comments in the code that help ...

Read More

Very clear, logical structure. I find that the concepts and methods all build on each other and I particularly appreciate the comments in the code that help elucidate what is going on. The multiple "challenge" problems also helped me consolidate what I learned as I was going through the notebook.