# NumPy Bootcamp for Data Science and ML in Python – 2023

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python.

Language: english

Note: 4.3/5 (36 notes) 11,008 students

Last update: 2022-11-20

## What you’ll learn

• Master the essentials of NumPy
• Learn how to explore, transform, aggregate and join NumPy arrays
• Analyze and manipulate dates and times for time intelligence and time-series analysis
• Build powerful, practical skills for modern analytics and business intelligence
• Basics of Numpy, Arrays, Lists.
• Accessing/Changing Specific Elements, Rows, Columns, etc
• Initializing Different Arrays (1s, 0s, full, random, etc)
• Basic Mathematics (arithmetic, trigonometry, etc.)
• Linear Algebra and Statistics
• Reorganizing Arrays
• Load data in from a file

## Requirements

• Basics of Python programming languages
• Basic knowledge of mathematics like Matrix, algebra etc.

## Description

***** Enrol now in the most comprehensive and up-to-date (Nov 2022) course available for the Numpy Concepts! *****

This course is led by Aditya Dhandi – an international trainer, consultant, and data analyst with over 100 000 enrollments on Udemy. Aditya specializes in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, & Google Data Studio & his courses average 4+ stars out of 5.

He’s also the founder of the popular website, Jobshie.

Why Learn Numpy?

The central object in Numpy is the Numpy array, on which you can do various operations.

The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.

That means you can do vector and matrix operations like addition, subtraction, and multiplication.

The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.

Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.

Key Features:

Video Lectures: Learn the best ways to learn Numpy

Course Certificate: Complete the course and show off your skills with the course certificate.

Learn from experts: Your expert instructor will teach you Numpy skills you can apply immediately.

Full Excess: There is no time limit, so take the course at your own pace and retake lessons as you need.

Use any Device: Join the course using any modern browser on your phone, tablet and computer.

Ask Question: Ask questions and share ideas with other students in the course community.

What’s included?

• High quality video lessons to build your knowledge and skills.

• Guided walk-throughs with techniques and tips.

• 14 pre-built dashboards you can use and customize.

• Practical exercises to apply your skills.

• Quizzes to reinforce learnings and test your knowledge.

• Private discussion area where you can ask questions.

• Course certificate for completing the lessons and assignment.

• Full access lets you review lessons whenever you need.

• Updates when lessons in the course are refreshed.

300+ learner reviews | 4+ average rating

We help learners across the globe develop new skills and achieve their personal and professional goals. Browse learner reviews below to discover how people enjoy the online learning experience at Jobshie Academy.

“I have gained useful skills while learning this course. I can consider myself a data analysis specialist. Thank you”

by Joseph Israel

“I was a nice experience about this course as it introduces with many topics which are related to data analysis .”

by Sreeraj Mopkar

“very good explaination , bohot achhe se sab samajh aata hai …100% Understanding all concept very much….excellent explanation”

by Moosa Khan

“The course is very instructive and didactic, I liked it, it is all the information I need for my activities”

by Jaime Ronald Palma Aguilar

“yeah it was such a great course, the teacher took time out to disect all angles of Excel, he touched all the essential parts, needed for our daily use of excel. Thanks a lot”

by Unyime Joshua

“The instructor is very knowledgeable and teach in a very engaging way. I totally recommend this course.????”

FAQs

When does the Numpy course start and finish?

The course starts as soon as you join! It is a completely self-paced online course, so you decide when you start and when you finish.

How long does it take to complete the course?

We recommend taking the course over two to three weeks, so you have time to apply the lessons to your account (or your client’s account). That being said we’ve seen people complete the course in a week and others that spread the lessons over a couple of months.

You receive full access to the course so that you can take the lessons at any time. You can rewatch lessons whenever you like and any lesson updates are included.

Yes, once you complete all of the lessons, exercises, quizzes, and course assignment, you’ll receive your course certificate.

What are you waiting for?

There’s never been a better time to add a skill like programming to your toolbox and Numpy to get started. So check out the free preview and get enrolled! You’ve got nothing to lose and everything to gain!

## Who this course is for

• Students and professionals with little Numpy experience who plan to learn deep learning and machine learning later
• Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
• Aspiring data scientists who want to build or strengthen their Python skills
• Anyone interested in learning one of the most popular open source programming languages in the world
• Students looking to learn powerful, practical skills with unique, hands-on projects and course demos

## Course content

• Introduction
• Introduction
• Resources
• Hello
• NumPy and it’s Applications
• Tour
• NumPy and it’s Applications
• NumPy Documentation
• Basics of NumPy
• Initializing an Array
• NumPy Datatypes
• Accessing/Changing Specific Elements, Rows, Columns, etc
• Accessing/Changing Specific Elements
• Review
• Review
• Initializing Different Arrays (1s, 0s, full, random, etc)
• Initializing Different Arrays
• Basic Mathematics (arithmetic, trigonometry, etc.)
• Basic Mathematics
• Linear Algebra and Statistics
• Linear Algebra and Statistics
• Reorganizing Arrays
• Reorganizing Arrays
• Load data in from a file
• Python
• Installation – Python
• Installation – VS Code
• Setup and Hello World
• Drawing a Shape
• DataTypes
• Variables
• Strings
• Numbers
• Taking an input
• Lists
• List_functions
• Tuples
• Dictionaries
• Functions
• Return Statement
• Operators
• If Statement
• If Statements & Comparisons
• While Loop
• For Loops
• Exponent Function
• 2D Lists & Nested Loops
• Try & Except
• Writing Files
• Oops
• Introduction
• What is oop?
• Encapsulation
• Abstraction
• Inheritance
• Polymorphism
• Certificate
• Certificate

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