Complete Numpy with Python Programming Course
Master the essentials of NumPy and explore how it works with statistical functions, operators & random number generation
Development ,Programming Languages,Python
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!
Course Curriculum:-
- 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 is this course for?
- Beginner Python developers curious about Data Science.
Goals
- What is NumPy?
- Python Numpy Array.
- Indexing & Slicing.
- Statistical Functions, Operators & Random Numbers.
- What is Data Science?
- What is Machine Learning?
Prerequisites
- 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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