Data Science, Machine Learning, Data Analysis, Python & R

Data Science, Machine Learning, Data Analysis, Python & R, available at Free, has an average rating of 4.04, with 16 lectures, based on 2467 reviews, and has 118900 subscribers.

You will learn about What is Data Science Artificial Intelligence vs Machine Learning vs Deep Learning Data Analysis using Python and R Data Visualization using Python and R Data Loading using Python and R This course is ideal for individuals who are Beginner Python & R developers curious about Data Science It is particularly useful for Beginner Python & R developers curious about Data Science.

Enroll now: Data Science, Machine Learning, Data Analysis, Python & R

Summary

Title: Data Science, Machine Learning, Data Analysis, Python & R

Price: Free

Average Rating: 4.04

Number of Lectures: 16

Number of Published Lectures: 14

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

What is Data Science
Artificial Intelligence vs Machine Learning vs Deep Learning
Data Analysis using Python and R
Data Visualization using Python and R
Data Loading using Python and R

Who Should Attend

Beginner Python & R developers curious about Data Science

Target Audiences

Beginner Python & R developers curious about Data Science

Interested in the field of Data Science, Machine Learning, Data Analytics, Data Visualization? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Data Science. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Course Curriculum

Chapter 1: Data Science, Machine Learning, Data Analysis, Python & R

Lecture 1: Python Programming

Lecture 2: Numpy with Python

Lecture 3: Pandas with Python

Lecture 4: MatPlotLib with Python

Lecture 5: Seaborn with Python

Lecture 6: Python Machine Learning

Lecture 7: Data Visualization using MatPlotLib & Seaborn

Lecture 8: Data Visualization using R Programming

Lecture 9: Data Visualization using Python and R

Lecture 10: Data Analysis using NumPy and Pandas

Lecture 11: Data Analysis – How to Extract the Data

Lecture 12: Data Science

Lecture 13: Machine Learning

Lecture 14: R Programming

Instructors

DATAhill Solutions Srinivas Reddy
Data Scientist

Rating Distribution

1 stars: 175 votes
2 stars: 151 votes
3 stars: 532 votes
4 stars: 741 votes
5 stars: 868 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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