Introduction to Machine Learning for Data Science

BY
Udemy

Get to know how the world has changed with computer technology applications from the Introduction to Machine Learning for Data Science online course.

Mode

Online

Fees

₹ 3999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

This Introduction to Machine Learning for Data Science is a very small course that can be traced and learnt from the provider platform Udemy. If candidates are people who are enthusiastic about basic computer skills then this programme is for them. This is a completely online programme that is accessible through both television, and mobile platforms. The certificate of completion is ideal for simply any group of people starting from novice to the already experienced ones.

Introduction to Machine Learning for Data Science training is designed in such an easy way that regular candidates will be understanding the concepts of data science and machine learning including python. This online certification has created real closed captions for those with additional hearing impairment. This is an introductory course that will enlighten the student’s thoughts with information on technological advancements. This course has been created especially for the ‘Udemy Business’ collection so that machine learning can be implemented, and problems can be checked based on society.

The highlights

  • 5.5 hours video sessions
  • Full lifetime access
  • 11 resources are downloadable
  • Mobile and tablet accessibility
  • Certificate of completion
  • 30-day guarantee of money back

Program offerings

  • Video sessions
  • Downloadable sections
  • 1 article
  • Free lifetime course access
  • Completion certificate
  • Money-back guarantee

Course and certificate fees

Fees information
₹ 3,999

Introduction to Machine Learning for Data Science certification fee is Rs. 3,999 that is charged from all the course students for learning.

Introduction to Machine Learning for Data Science Fee Structure

Description

Amount in INR 

Programme Fee

Rs. 3,999

certificate availability

Yes

certificate providing authority

Udemy

Who it is for

Any student or professionals wanting to learn how machine learning can be used for data science can join this certification. They can be managers, business leaders, or even appl developers.

Eligibility criteria

Educational Qualification

  • Only basic mathematics at the school level is required but knowledge of statistics is not at all a mandatory criterion.

Certification Qualifying Details

  • Introduction to Machine Learning for Data Science certification by Udemy is based on the completion of the course materials. 

What you will learn

Knowledge of python

With the Introduction to Machine Learning for Data Science certification syllabus, the following shall be learnt by the participants:

  • The candidates will understand topics like Artificial Intelligence, Algorithms, Computer Science, Data, Machine Learning, Programming, Big Data, and Data Science.
  • To avoid the fluff in marketing, the candidates will understand how the above concepts gel together.
  • Society does have impacts that are accused by data science and machine learning which can be understood by the candidates.
  • Also, the students shall understand how ML works and be ready to solve technological problems.
  • Finally, the implementation of machine learning shall be learnt by the students.

The syllabus

Introduction

  • Course Promotion Videos
  • A special message for hard of hearing and ESL students
  • Thank you for investing in this course
  • Course overview
  • Secret Sauce Inside! How to get the most out of this course
  • Course Links Reference Guide and Lecture Resources
  • Course Survey

Core Concepts

  • Core Concepts Overview
  • Computer Science - the `Train Wreck' Definition
  • What's Data / "I can see data everywhere!"
  • Structured vs Unstructured Data
  • Structured and Unstructured Data
  • 2 questions
  • Computer Science - Definition Revisited & The Greatest "lie" ever SOLD....
  • What's big data?
  • Big Data - Quiz
  • 2 questions
  • What is Artificial Intelligence (AI)
  • What is Machine Learning? - Part 1 - The ideas
  • What is Machine Learning? - Part 2 - An Example
  • What is data science?
  • Recap & How do these relate to each other?

Impacts, Importance and examples

  • Impacts, Importance, and examples
  • Why is this important now?
  • Computers exploding! - The explosive growth of computer power explained.
  • What problems does Machine Learning Solve?
  • Where it's transforming our lives

The Machine Learning Process

  • The Machine Learning Process - Overview
  • 5 Step Machine Learning Process Overview
  • 1 - Asking the right question
  • 2 - Identifying, obtaining, and preparing the right data
  • 3 - Identifying and applying an ML Algorithm
  • 4 - Evaluating the performance of the model and adjusting
  • 5 - Using and presenting the model
  • Machine Learning - Process

How to apply Machine Learning for Data Science

  • How to apply Machine Learning for Data Science - Overview
  • Where to begin your journey
  • Common platforms and tools for Data Science
  • Data Science using - R
  • Data Science using - Python
  • Data Science using SQL
  • Data Science using Excel
  • Data Science using RapidMiner
  • Cautionary Tales

Conclusion

  • All done! What's next?

Section 1 - Bonus Course - Machine Learning in Python and Jupyter for Beginners

  • Introduction and Anaconda Installation
  • What will we cover
  • Introduction and Setup

Section 2 - Bonus Course - Machine Learning in Python and Jupyter for Beginners

  • Crash course in Python - Beginning concepts
  • Crash course in Python - Strings, Slices and Lists!
  • Crash course in Python - Expressions, Operators, Conditions, and Loops
  • Crash course in Python - Functions, Scope, Dictionaries and more!

Section 3 - Bonus Course - Machine Learning in Python and Jupyter for Beginners

  • Hands-on Running Python

Section 4 - Bonus Course - Machine Learning in Python and Jupyter for Beginners

  • Foundations of Machine Learning and Data Science - Definitions and concepts.
  • Foundations of Machine Learning and Data Science - Machine Learning Workflow
  • Foundations of Machine Learning and Data Science - Algorithms, concepts, and more

Section 5 - Bonus Course - Machine Learning in Python and Jupyter for Beginners

  • Introducing the essential modules for Machine Learning, and NumPy Basics
  • Pandas and Matplotlib
  • Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn

Section 6 - Bonus Course - Machine Learning in Python and Jupyter for Beginners

  • A Titanic Example - Getting our start.
  • A Titanic Example - Understanding the data set.
  • A Titanic Example - Understanding the data set in regards to survival
  • A Titanic Example - Preparing the right data and applying a basic algorithm
  • A Titanic Example - Applying regression algorithms.
  • A Titanic Example - Applying Decision Trees (example of overfitting and underfit)

Section 7 - Bonus Course - Machine Learning in Python and Jupyter for Beginners

  • Conclusions - for our Titanic Example, important concepts and where to go next!

Bonus Content

  • Bonus Article - The startling breakthrough in Machine Learning from 2016

Admission details

Here is the Introduction to Machine Learning for Data Science classes admission process:

Step 1: Visit the official site: https://www.udemy.com/course/machine-learning-for-data-science/.

Step 2: Candidates should locate either of the 2 ‘Add to Cart’ or ‘Buy Now’ buttons, and click.

Step 3: Then the click marks the course being added to the cart of the participant. 

Step 4: As the students get ready to fulfill the new account creation details, and submit the programme related fee, he or she will be given admission.

How it helps

Here is some Introduction to Machine Learning for Data Science certification benefits:

  • The candidates can fulfill their passion for learning fundamental computer skills.
  • Udemy with this course will also couple up a bonus course that can be a way of enhanced learning, and further, unlock more secrets of machine learning.
  • With just paying the one-time fee, the students will get lifetime freedom for accessing the course.

Instructors

Mr David Valentine
Data Scientist
Freelancer

FAQs

What is the age to get entry into this course?

The students can be of just any age to start the admission process.

How many sections are there in Introduction to Machine Learning for Data Science online certification?

The sections that pertain to this course are 14.

Who is the programme course instructor?

The instructor is David Valentine.

How many downloadable resources can one get during this ML course?

There are 11 resources that are downloadable.

Can the students of the Introduction to Machine Learning for Data Science online course apply a discount coupon?

Yes application of a discount coupon is possible on the Udemy website.

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