Numpy Full Python Course
NumPy is a library for the Python programming language
Updated on Apr, 2024
Language - English
Lectures -13
Duration -3 hours
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Course Description
In this series, we cover the basics of using NumPy for basic data analysis. Some of the things that are covered are as follows: installing NumPy using the Anaconda Python distribution, creating NumPy arrays in a variety of ways, gathering information about large datasets such as the mean, median and standard deviation, as well as utilizing Jupyter Notebooks for exploration using NumPy. If you are looking to get started with NumPy then join us!
1. NumPy Introduction
2. Python Numpy Array
3. Indexing & Slicing - 1
4. Indexing & Slicing - 2
5. Statistical Functions, Operators & Random Numbers
6. What is Data Science
7. What is Machine Learning
Who this course is for:
- Beginner Python developers curious about Data Science
Goals
What will you learn in this course:
- What is NumPy?
- Python Numpy Array
- Indexing & Slicing
- Statistical Functions, Operators & Random Numbers
- What is Data Science
- What is Machine Learning
Prerequisites
What are the prerequisites for this course?
- Previous programming experience. Familiarity with collection types in Python.
Curriculum
Check out the detailed breakdown of what’s inside the course
Numpy with Python
12 Lectures
-
Session 1. NumPy Introduction
00:31
00:31
-
NumPy Introduction
34:09
34:09
-
Session 2. Python Numpy Array
00:28
00:28
-
Python Numpy Array
22:32
22:32
-
Session 3. Indexing & Slicing - 1
00:42
00:42
-
Indexing & Slicing - 1
19:29
19:29
-
Session 4. Indexing & Slicing - 2
00:47
00:47
-
Indexing & Slicing - 2
30:21
30:21
-
Session 5. Statistical Functions, Operators & Random Numbers
00:48
00:48
-
Statistical Functions, Operators & Random Numbers
20:12
20:12
-
What is Data Science
32:26
32:26
-
What is Machine Learning
26:33
26:33
Instructor Details
DATAhill Solutions Srinivas Reddy
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