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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