Data Science and Machine Learning with Python and Libraries
Learn Data Science and Machine Learning with Python and Libraries such as Numpy, Matplotlib, Pandas and much more.
What you’ll learn
- Data Science with Python
- Using Python Libraries for Data Science
- Data Analysis
- Python Libraries such as Numpy, Matplotlib, Pandas
- Visualizing Data
- Linear Algebra
Requirements
- A little bit of Python understanding will be good (not necessary)
Description
WHAT IS DATA SCIENCE
As the world is progressing in science and technology, there is an enormous increase in the need for advanced tools to store information and mine data that is being produced indefinitely. And the key to this problem is data science. Data science is a field of study that develops scientific and systematic methods to record, process and analyze data to withdraw significant and useful information that can be both structured and unstructured. Unstructured data is the one that is generated by mobile devices and websites while structured data is an organized data which is mostly generated by the users e.g. emails, chats, telephone calls etc. Data science uses scientific methods and algorithms to extract knowledge. Industries require the use of this field immensely and the industrialists now realize the value of data science and the benefits it can provide to the business, thus, it has become very popular currently.
The need for data science
An immediate question that rises in the mind after hearing about data science is why is there a need to dig into depths for such a tool?
Human brains possess the intelligence to perceive things as they are i.e. processing the information that we see and store it. It is just a power that we humans have and because we are doing it constantly without any deliberate effort, it is trivial to us. However, parallel to this brilliant power that we hold, it is also to have a clear understanding of the fact that it is limited. The human brain is also prone to forgetting, and impeding memory, perceptions and predictions. Here, the computer’s prowess proves to be helpful.
Who this course is for:
- Students interested in Data Science
- Students interested in Data Analysis