NumPy, Pandas, Matplotlib in Python using Amazon SageMaker
NumPy, Pandas, Matplotlib in Python using Amazon SageMaker, available at $39.99, has an average rating of 4.25, with 28 lectures, based on 24 reviews, and has 268 subscribers.
You will learn about Adaptive knowledge on Python using AWS SageMaker Introduction to AWS SageMaker Introduction to Python and Basics Introduction to List,Tuples,sets Sets and strings Dictionaries and Operators If-Else-Statements Introduction to Functions Lambda and Map Functions Introduction to For Loops While loop and examples (Odd-Even Places) Examples- (String, substring and Longest Good String) Object-Orientation-Programming Introduction to NumPy Array Introduction to Pandas Part 1-4 Introduction to Matplotlib and Seaborn File Handling in Python Overview on Web Scrapping Learn Computer Vision by using OpenCV Part 1-2 Project 1-Die Roll(Basic Die Roll) Project 2-(Rock, Paper, Scissors) Project 3-Telecom Customer Service Project 4-Hospital Management System This course is ideal for individuals who are Beginner programmers who want to get into one of the most popular and loved languages in the world. Programmers wants to learn advanced Technology like AWS SAGEMAKER and have hold in the market . Programmers from other languages who want to kickstart their Python journey Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming. Programmers who wants to learn how to approach and practise new upcoming projects in the industry. It is particularly useful for Beginner programmers who want to get into one of the most popular and loved languages in the world. Programmers wants to learn advanced Technology like AWS SAGEMAKER and have hold in the market . Programmers from other languages who want to kickstart their Python journey Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming. Programmers who wants to learn how to approach and practise new upcoming projects in the industry.
Enroll now: NumPy, Pandas, Matplotlib in Python using Amazon SageMaker
Summary
Title: NumPy, Pandas, Matplotlib in Python using Amazon SageMaker
Price: $39.99
Average Rating: 4.25
Number of Lectures: 28
Number of Published Lectures: 28
Number of Curriculum Items: 28
Number of Published Curriculum Objects: 28
Original Price: A$29.99
Quality Status: approved
Status: Live
What You Will Learn
- Adaptive knowledge on Python using AWS SageMaker
- Introduction to AWS SageMaker
- Introduction to Python and Basics
- Introduction to List,Tuples,sets
- Sets and strings
- Dictionaries and Operators
- If-Else-Statements
- Introduction to Functions
- Lambda and Map Functions
- Introduction to For Loops
- While loop and examples (Odd-Even Places)
- Examples- (String, substring and Longest Good String)
- Object-Orientation-Programming
- Introduction to NumPy Array
- Introduction to Pandas Part 1-4
- Introduction to Matplotlib and Seaborn
- File Handling in Python
- Overview on Web Scrapping
- Learn Computer Vision by using OpenCV Part 1-2
- Project 1-Die Roll(Basic Die Roll)
- Project 2-(Rock, Paper, Scissors)
- Project 3-Telecom Customer Service
- Project 4-Hospital Management System
Who Should Attend
- Beginner programmers who want to get into one of the most popular and loved languages in the world. Programmers wants to learn advanced Technology like AWS SAGEMAKER and have hold in the market . Programmers from other languages who want to kickstart their Python journey Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming. Programmers who wants to learn how to approach and practise new upcoming projects in the industry.
Target Audiences
- Beginner programmers who want to get into one of the most popular and loved languages in the world. Programmers wants to learn advanced Technology like AWS SAGEMAKER and have hold in the market . Programmers from other languages who want to kickstart their Python journey Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming. Programmers who wants to learn how to approach and practise new upcoming projects in the industry.
Welcome to the Course NumPy, Pandas, Matplotlib in Python using Amazon SageMaker
This course contains Career building python skills which has been used by the world’s largest companies for everything from building python Data structure to implementing the industry projects and computer vision by using OpenCV to data science and machine learning by AWS SageMaker.
With SageMaker both Data scientist and developers can quickly and easily build and train a machine learning models and deploy them to the production hosted ready
Environment!! It has internal SageMaker Studio instance for an easy access to your data sources for analysis and deploy your model effortlessly.
Python has rapidly become go-to language in the data science field and is among the first things recruiters search for in a data scientist’s skill set.
Its an amalgamation of Computer science , Statistics and required domain knowledge as per the industry problems. The top notch companies uses Python some of them are “ Google, Facebook,Instagram,Dropbox,Netflix”.
Python is a general-purpose, versatile, and powerful programming language.
It’s a great first language because it’s concise and easy to read.
Whatever you want to do, Python can do it ,From web development to machine learning to data science,
Python is the language for if you are new to computer language then python is something you can start with and kind of approach and logic and
application python has and is something pretty versatile in itself.
“Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models.” Introduction quoted from the website of AWS SageMaker.
Amazon SageMaker helps data scientists and developers to prepare, build, train and deploy high-quality machine learning(ML) models quickly by bringing together a broad set of capabilities purpose-build for ML.
AWS SageMaker has been a great deal for most data scientists who would want to accomplish a truly end-to-end ML solution. It takes care of abstracting a ton of software development skills necessary to accomplish the task while still being highly effective and flexible and cost-effective.
Amazon SageMakeris a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.
Why Learn Python?
Python is extremely popular language world-wide , it has large programming community available online. And also it has excellent Documentation , python is one of those language has number applications available in the various industries and many large industries are looking for python experts .
This course will make it easy for you to learn Python and get ahead of your competition.
Why Choose This Course?
You will conquer the best knowledge about the subject and by using latest and one of the most used technology world wide.
You will learn basics of python language as well have deeper understanding of the using of AWS SageMaker.
Get hands on practice on the python and learn to code like an expert.
At the end of the course we will be offering you the python based projects to improve your skills and knowledge about the subject.
you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Explore the wider possibilities of what you can do with Python, including databases, Computer vision and Web Scraping.
Become job-ready by learning about Python’s flow control,Functions,Data Types, File Handling ,Object- class and also sound knowledge on AWS SageMaker, getting user friendly with AWS SageMaker instances to deploy models.
And you will also have the hands on experience with the industry projects. You will learn and get to have access on projects like Gaming in Python, And you will learn OpenCV Project which works on real time.which will not only prepare you to write your own python code but also helps you to land on your Dream job.
Who Is This Course For?
Beginners who have never programmed before.
Programmers who wants know learn AWS SageMaker.
Programmers with experience in other languages who want to start their Python programming.
Programmers who know some Python but want to round off their skills and become truly proficient with AWS SageMaker.
What Am I Going to Get From This Course?
Lifetime access to 28 lectures covering all aspects of Python including the opening of AWS Free Account and learn from the foundations to advanced concepts.
Extremely interactive sessions from tutor and get Assignments to practice yourself and get your hands on practice with the subject.
Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you’ve learned. We always go over the code after to show you how we would tackle them.
Offering the best quality material to practice theory and code files.
And also this is just an introductory course for the python beginners by using AWS SageMaker.
We will soon be launching on Machine learning using AWS SageMaker.
Don’t Wait! Join the Course and Begin Coding in Python today!
Course Curriculum
Chapter 1: NumPy, Pandas, Matplotlib in Python using Amazon SageMaker
Lecture 1: Instructors Introduction
Lecture 2: Introduction to AWS SageMaker
Lecture 3: Introduction to Python and Basics
Lecture 4: Introduction to List,Tuples,sets
Lecture 5: Sets and strings
Lecture 6: Dictionaries and Operators
Lecture 7: If-Else-Statements
Lecture 8: Introduction to Functions
Lecture 9: Lambda and Map Functions
Lecture 10: Introduction to For Loops
Lecture 11: While loops and examples (Odd-Even Places)
Lecture 12: Examples- (String and substring and Longest Good String)
Lecture 13: Object-Orientation-Programming
Lecture 14: Introduction to NumPy Array
Lecture 15: Introduction to Pandas Part 1
Lecture 16: Introduction to Pandas Part 2
Lecture 17: Introduction to Pandas part 3
Lecture 18: Introduction to Pandas Part 4
Lecture 19: Introduction to Matplotlib
Lecture 20: Continuation of Matplotlib and Seaborn
Lecture 21: File Handling in Python
Lecture 22: Overview on Web Scrapping
Chapter 2: Computer Vision by using OpenCV
Lecture 1: Learn Computer Vision by using OpenCV Part 1
Lecture 2: Learn Computer Vision by using OpenCV Part 2
Chapter 3: Projects
Lecture 1: Project 1-Dice Roll(Basic Dice Roll)
Lecture 2: Project 2-(Rock, Paper, Scissors)
Lecture 3: Project 3-Telecom Customer Service
Lecture 4: Project 4-Hospital Management System
Instructors
-
Rajeshwar Reddy Konkisa
Senior Data Scientist
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 8 votes
- 5 stars: 13 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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