Last Updated on October 7, 2023 by GeeksGod

Course : Python Numpy Data Analysis for Data Scientist | AI | ML | DL

Python Numpy Data Analysis for Data Scientist | AI | ML | DL

The Python Numpy Data Analysis for Data Scientist course is designed to equip learners with the necessary skills for data analysis in the fields of artificial intelligence, machine learning, and deep learning.

This course covers an array of topics such as creating/accessing arrays, indexing, and slicing array dimensions, and ndarray object. Learners will also be taught data types, conversion, and array attributes.

The course further delves into broadcasting, array manipulation, joining, splitting, and transposing operations.

Learners will gain insight into Numpy binary operators, bitwise operations, left and right shifts, string functions, mathematical functions, and trigonometric functions.

Additionally, the course covers arithmetic operations, statistical functions, and counting functions. Sorting, view, copy, and the differences among all copy methods are also covered.

By the end of the course, learners will be proficient in using Python Numpy for data analysis, making them ready to take on the challenges of the data science industry.

What you can do with Pandas Python

Data analysis: Pandas is often used in data analysis to perform tasks such as data cleaning, manipulation, and exploration.

Data visualization: Pandas can be used with visualization libraries such as Matplotlib and Seaborn to create visualizations from data.

Machine learning: Pandas is often used in machine learning workflows to preprocess data before training models.

Financial analysis: Pandas is used in finance to analyze and manipulate financial data.

Social media analysis: Pandas can be used to analyze and manipulate social media data.

Scientific computing: Pandas is used in scientific computing to manipulate and analyze large amounts of data.

Business intelligence: Pandas can be used in business intelligence to analyze and manipulate data for decision-making.

Web scraping: Pandas can be used in web scraping to extract data from web pages and analyze it.

Instructor: Faisal Zamir

Faisal Zamir is an experienced programmer and an expert in the field of computer science. He holds a Master’s degree in Computer Science and has over 7 years of experience working in schools, colleges, and university.

As a programmer, Faisal has worked on various projects and has experience in multiple programming languages, including PHP, Java, and Python. He has also worked on projects involving web development, software engineering, and database management.

As an instructor, Faisal has a proven track record of success. He has taught students of all levels, from beginners to advanced, and has a passion for helping students achieve their goals.

Course Outline: Python Numpy Data Analysis for Data Scientist

These are the outlines that will be covered in the course:

Chapter 01

Introduction to Numpy

Numpy Environment Setup

Chapter 02

Creating/Accessing Array

Indexing & Slicing

Array dimensions (1, 2, 3, ..N)

ndarray Object

Data types

Data type Conversion

Chapter 03

Array attributes

Array ndarray object attributes

Array creation in different ways

Array from existed data

Array from ranges function

Chapter 04

Broadcasting

Array iteration

Update Array values

Broadcasting iteration

Chapter 05

Array Manipulation Operations

Array Joining Operations

Array Transpose Operations

Array Splitting Operations

Array More Operations

Chapter 06

Numpy binary operators – Binary Operations

bitwise_and

bitwise_or

numpy.invert()

left_shift

right_shift

Chapter 07

String Functions

Mathematical Functions

Trigonometric Functions

Chapter 08

Arithmetic operations

Add

Subtract

Multiply

Divide

floor_divide

Power

Mod

Remainder

Reciprocal

Negative

abs

Statistical functions

Counting functions

Chapter 09

Sorting

sort()

argsort()

lexsort()

searchsorted()

partition()

argpartition()

Chapter 10

View

Copy

“No Copy”

Shallow Copy

Deep Copy

The difference among all copies method

30-day Money-Back Guarantee

Great! It’s always reassuring to have a money-back guarantee when making a purchase, especially for an online course. With the “Python Numpy Data Analysis for Data Scientist | AI | ML | DL” course, you can have peace of mind knowing that you have a 30-day money-back guarantee.

This means that if you are not satisfied with the course within the first 30 days of purchase, you can request a full refund.

This shows the confidence of the course provider in the quality of their content, and it gives you the opportunity to try out the course risk-free.

So if you’re looking to improve your skills in Python data analysis for data science, AI, ML, or DL, this course is definitely worth considering.

Thank you

Faisal Zamir

If you’re looking for a Free Udemy Coupon for the Python Numpy Data Analysis for Data Scientist course, you’re in luck! We offer a limited-time coupon to access this course for free. Sign up now and take advantage of this opportunity to enhance your data analysis skills using Python Numpy.

In today’s data-driven world, data analysis skills are in high demand. By learning Python Numpy, you’ll be equipped to tackle complex data analysis tasks, whether in the field of artificial intelligence, machine learning, or deep learning.

With our comprehensive Python Numpy Data Analysis course, you’ll learn the fundamentals of data analysis, including creating and accessing arrays, indexing, slicing array dimensions, and working with the ndarray object. You’ll also gain an understanding of data types, conversions, and array attributes.

In addition, our course covers advanced topics such as broadcasting, array manipulation, joining, splitting, and transposing operations. You’ll also explore Numpy binary operators, bitwise operations, string functions, mathematical functions, and trigonometric functions.

We understand that hands-on practice is crucial in learning data analysis. That’s why our course provides numerous coding exercises and real-world examples to reinforce your understanding. By the end of the course, you’ll be proficient in using Python Numpy and ready to tackle data analysis challenges in your career.

Don’t miss out on this opportunity to enhance your data analysis skills and boost your career prospects. Enroll in our Python Numpy Data Analysis course today with a Free Udemy Coupon!