Short Description:- FREE Course on Data Science, Machine Learning, Data Analysis, Data Visualization using Python and R Programming
What you’ll 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
This course includes
- 8 hours on-demand video
- 2 downloadable resources
- Full lifetime access
- Access on mobile and TV
- All graduates, Data analysts and business analysts
In this “Data Science, Machine Learning, Data Analysis, Python & R” introductory course you will learn about the basic of theory, algorithm, and application. Machine Learning is a important and key technology that is used in Big Data and also in medical , scientific, and commercial application. Machine Learning helps the computational system and to improve their performance by the help of experience that is obtained from the observed data. Machine Learning is the biggest and hottest field currently in the market and it tends to improve in near future and in this course many lectures are provided
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.
Also Check: https://coursetime.net/freemachine-learning-master-degree22-hours/ [22 hour]