Statistics for Data Science using Python
What you'll learn
- Learn statistical concepts that are very important to Data science domain and its application using Python.
- Learn about Numpy, Pandas Data Frame
Course content
- Preview07:23
Requirements
- No prior knowledge of machine learning required
- Basic knowledge of Python will be an added advantage
Description
Many of us have heard it that statistics is one the next sexy jobs that is coming up in the career opportunities (this fact is vouched by even Hal Varian). Almost five years Tim O’Reilly said that data is the next big thing to happen in the world. But what exactly is data and why is it so important? And why is there so much importance being given to statistics and data in the world today?
The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data.
This training is an introduction to the concept of statistical concepts that are very important to Data science domain and its application using Python.
Who this course is for:
- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
Instructor
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- 29 Courses
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