NUMPY LIBRARY FROM SCRATCH
NUMPY LIBRARY FROM SCRATCH, available at $54.99, with 12 lectures, and has 2 subscribers.
You will learn about Learn how to use Jupyter Notebook through many exercises in this course Learn basic Python syntax Learn 8 important Numpy library functions frequently used in Data analysis, Machine – learning and the general data science through many worked examples Learn syntax and semantics of the Numpy Library through many worked examples This course is ideal for individuals who are This course is intended for those who want to learn Numpy from scratch, as the first step to or become a professional data analyst or as a first course for machine learning and data science It is particularly useful for This course is intended for those who want to learn Numpy from scratch, as the first step to or become a professional data analyst or as a first course for machine learning and data science.
Enroll now: NUMPY LIBRARY FROM SCRATCH
Summary
Title: NUMPY LIBRARY FROM SCRATCH
Price: $54.99
Number of Lectures: 12
Number of Published Lectures: 12
Number of Curriculum Items: 12
Number of Published Curriculum Objects: 12
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn how to use Jupyter Notebook through many exercises in this course
- Learn basic Python syntax
- Learn 8 important Numpy library functions frequently used in Data analysis, Machine –
- learning and the general data science through many worked examples
- Learn syntax and semantics of the Numpy Library through many worked examples
Who Should Attend
- This course is intended for those who want to learn Numpy from scratch, as the first step to
- become a professional data analyst or as a first course for machine learning and data science
Target Audiences
- This course is intended for those who want to learn Numpy from scratch, as the first step to
- become a professional data analyst or as a first course for machine learning and data science
Numpy or numerical Python is a fundamental library for numerical computing in Python. In this course, through the knowledge you’ll gather from the numerical computing,you will carry out many exercises in data manipulation from numpy arrays. Numpy is a fundamental package for anyone planning to do Data Analysis,Machine Learning or Data Science as all Scientific Python libraries are built on Numpy and, Numpy has the simplest syntax of all Python scientific libraries. So, Numpy is the best library to start with.
In this course, you will create Python lists and carry out data manipulation from the data in those lists and also, convert the Python lists into Numpy arrays for ease and speed of data manipulation. You will create and change array shapes as this is an important aspect you will use later in Data Analysis.
In this course you shall do many carefully chosen exercises together with the instructor,starting from the basic to the most practically applicable examples for each section of the course.
This course being the founding stone for Python data computation, is well crafted to make sure all the fundamental functions in the Numpy library used very often in Data Analysis and in Machine Learning are exhaustively handled here.
The future is data and data is the Gold of today.This course is centered on data manipulation. You shall start off by manipulating data in lists to the more complex 2D and 3D arrays.
I am a Computer Scientist of Electrical Engineering background, having taught for more than two decades in the fields of Electrical Engineering and Computer Science in Kenya Government Institutions, have the confidence of teaching Numpy library to world class standards.
Thank you very much.
Course Curriculum
Chapter 1: INTRODUCTION
Lecture 1: INTODUCTION TO NUMPY. Introduce PYTHON Numpy library to students
Chapter 2: JUPYTER NOTEBOOK
Lecture 1: Learn why Jupyter Notebook is the best App. for learning Python programming
Chapter 3: PYTHON LISTS
Lecture 1: PYTHON LIST
Chapter 4: NUMPY ARRAYS
Lecture 1: 1 DIMENSIONIONAL ARRAY (1D ARRAY)
Lecture 2: LINSPACE
Lecture 3: ARANGE
Chapter 5: MULTIDIMENSIONAL ARRAYS
Lecture 1: MULTIDIMENSIONAL ARRAYS
Chapter 6: Numpy SHAPE function
Lecture 1: NUMPY SHAPE FUNCTION
Chapter 7: Numpy RESHAPE function
Lecture 1: NUMPY RESHAPE FUNCTION
Chapter 8: 1D SLICING
Lecture 1: 1D SLICING
Chapter 9: 2D ROW SLICING
Lecture 1: 2D ROW SLICING
Chapter 10: STACK
Lecture 1: STACK
Instructors
-
Joseph Jindwa Dzuya
QUALIFICATIONS: BSc(cs), HDip(Elect. Eng),Dip.Ed(Tech. Ed)
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Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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