Python Course for Machine Learning Data Science Beginners

Python Course for Machine Learning & Data Science Beginners, available at $19.99, has an average rating of 4.4, with 39 lectures, based on 352 reviews, and has 22265 subscribers.

You will learn about Fundamentals of Programming – Decision Controls, Loops, Operators, Data types, Creating Identifiers and Operators etc. Collections – List, Set, Dictionaries, Tuples etc. Pandas DataFrame – Sorting, Filtering, Aggregations, Analyzing, Organizing, and more! Numerical Python (Numpy) – Matrix Operations, Multidimensional Arrays, and more! Matplotlib – Create easily digestible powerful visuals and more! Seaborn – creating statistical graphics etc. Case Study – You understand how all the learning can be utilized in the real scenarios. Machine Learning – High level tools walkthrough etc. Exploratory Data Analysis. Python environment installation etc. and more ! This course is ideal for individuals who are Students or Professionals who want to take first step towards high paying roles such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc. or Anyone who want to up-skill and learn most powerful libraries in the Python or Managers or Production Support Engineers or Business Analysts or Test Engineer or Automation Engineer It is particularly useful for Students or Professionals who want to take first step towards high paying roles such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc. or Anyone who want to up-skill and learn most powerful libraries in the Python or Managers or Production Support Engineers or Business Analysts or Test Engineer or Automation Engineer.

Enroll now: Python Course for Machine Learning & Data Science Beginners

Summary

Title: Python Course for Machine Learning & Data Science Beginners

Price: $19.99

Average Rating: 4.4

Number of Lectures: 39

Number of Published Lectures: 39

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of Programming – Decision Controls, Loops, Operators, Data types, Creating Identifiers and Operators etc.

Collections – List, Set, Dictionaries, Tuples etc.

Pandas DataFrame – Sorting, Filtering, Aggregations, Analyzing, Organizing, and more!

Numerical Python (Numpy) – Matrix Operations, Multidimensional Arrays, and more!

Matplotlib – Create easily digestible powerful visuals and more!

Seaborn – creating statistical graphics etc.

Case Study – You understand how all the learning can be utilized in the real scenarios.

Machine Learning – High level tools walkthrough etc.

Exploratory Data Analysis.

Python environment installation etc.

and more !

Who Should Attend

Students

Professionals who want to take first step towards high paying roles such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc.

Anyone who want to up-skill and learn most powerful libraries in the Python

Managers

Production Support Engineers

Business Analysts

Test Engineer

Automation Engineer

Target Audiences

Students

Professionals who want to take first step towards high paying roles such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc.

Anyone who want to up-skill and learn most powerful libraries in the Python

Managers

Production Support Engineers

Business Analysts

Test Engineer

Automation Engineer

Lets learn the powerful libraries to transform your career.

22200+students learning the course. I promise not to exhaust you with huge number of videos.

Welcome to the most comprehensive Python Course for Machine Learning & Data Science Beginners! An excellent choice for beginners and professionals looking to up skill themselves and take first step in the domain of Python, Data Science or Machine Learning. This course covers most popularas well as most powerful libraries used across the industrysuch as Numerical Python to deal with scientific multidimensional matrix operations efficiently, Pandas to easily program on top of tabular spreadsheetlike datasets, Matplotlib to create easily digestible powerful visualsincluding Seaborn for creating statistical graphics and more!Course covers Case Studyto help you understand how all the learning can be utilized in the real scenarios. Covered the Fundamentals of Programmingsuch as Decision Controls, Loops, Operators, Data types, Collections and more! Including Exploratory Data Analysis and high level walk through of available Machine Learning tools. And more!

Why learn Python Course for Beginners?

You need to take the first step towards learning hot skills in the market. In order to sustain and earn more and more money in the job market, you need to keep upgrading yourself. This course offers you to learn the most powerful libraries user across the technology industry in the world. Learning these libraries is the creating base or first step towards hot and high paying jobs in the market such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc.

Whether you’re a student or any professional willing to up-skill or learn or planning to transit yourself to python or data science or machine learning related roles. This courseoffers you an incredible libraries used across the industry and will strengthen your CV.

Student Reviews:

“teaching from basics and explaining everything clearly”

“This course was a good match for me. It goes straight to the point. So far, the user interface has been the same with the illustrations and there have been no complications.”

“Well explained.”

“Nice For Beginner.”

“This is one of the best course for learning basics of python for Machine Learning.Thanks to the instructor for explaining concepts in a clear understandable manner!”

“Totally amazing experience and good to know all information About python for data science”

“great experience, however it was quite tricky to understand jupyter for me.”

“This is a nice course to explore your learning in the changing dynamic environment.”

“quite basic and easy to understand, it was helpful to be lead through different libraries”

“A very useful and basic course about Python in Data Science. The contents were very clear and the Instructor as well.”

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Why to use Python? Learn What is required

Lecture 3: What is Machine Learning and Data Science?

Lecture 4: Course Outline

Chapter 2: Python Basic I

Lecture 1: Lets Start

Lecture 2: Installation

Lecture 3: Topic 1

Lecture 4: Topic 2

Lecture 5: Topic 3

Chapter 3: Python Basics II

Lecture 1: Topic 1

Lecture 2: Topic 2

Lecture 3: Topic 3

Lecture 4: Topic 4

Lecture 5: Topic 5

Chapter 4: Python Basics III

Lecture 1: Topic 1

Lecture 2: Topic 2

Lecture 3: Topic 3

Lecture 4: Topic 4

Chapter 5: Python Basics IV

Lecture 1: Topic 1

Lecture 2: Topic 2

Lecture 3: Topic 3

Lecture 4: Topic 4

Lecture 5: Topic 5

Chapter 6: Python Basics V

Lecture 1: Topic 1

Lecture 2: Topic 2

Chapter 7: Visualization Tools

Lecture 1: Matplotlib – Topic 1

Lecture 2: Matplotlib – Topic 2

Lecture 3: Seaborn- Topic 1

Lecture 4: Seaborn- Topic 2

Lecture 5: Seaborn- Topic 3

Lecture 6: Seaborn- Topic 4

Lecture 7: Seaborn- Topic 5

Chapter 8: Exploratory Data Analysis

Lecture 1: Case Study – Topic 1

Lecture 2: Case Study – Topic 2

Lecture 3: Assignment

Chapter 9: Available Machine Learning Tools

Lecture 1: Topic 1

Lecture 2: Topic 2

Lecture 3: Thank you

Chapter 10: Why Python?

Lecture 1: Why Python is best choice for machine learning to choose?

Instructors

Pradeep D
Programmer, Data Engineer and Instructor

Rating Distribution

1 stars: 10 votes

2 stars: 27 votes

3 stars: 73 votes

4 stars: 129 votes

5 stars: 113 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!