Free Certification Course Title: Data Visualization with Numpy and Pandas
Learn how to get you up and running with data analysis and visualization using NumPy and Pandas
What you’ll learn:
- This course has been focused on training folks on Pandas and NumPy. All the concepts that revolve around these libraries will be detailed very precisely through this course. The sole objective of this course is to enrich the trainees with the entire set of skills that are required to work with these python-based libraries.
- The goal of this course is to make the trainees expert on working with Pandas and NumPy python libraries. This training will be helping folks to achieve proficiency.
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Requirements:
- Like we always say to candidates what makes the difference is to have a learning attitude, apart from this we will take care of everything.
- Basic knowledge of Python and Mathematics (like Linear algebra understanding).
- No prior information for machine learning is needed.
- Basic computer programming terminologies.
- Passion to learn new technology
Who this course is for:
- This Pandas and NumPy Tutorial Course is designed for professionals with different backgrounds who are willing to learn data science in simple and easy steps using Python as a programming language. If you are into any kind of data and analytics work on any platform then this course is very useful for you. Managers and seniors should look up to this course as the current market is at its transition stage where you must have a good understanding of data and analysis techniques. However, for the convenience of our readers, we have listed some probable profiles that should opt this Pandas and NumPy Tutorial for maximizing their job scoring possibilities.
This course includes:
- 5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
How to Subscribe for Data Visualization with Numpy and Pandas?
- Sign Up on Udemy.com
- Subscribe Here(Data Visualization with Numpy and Pandas): Click Here
Apply Coupon Code: EXAMTURF1
**Note: Free coupon/offer may expire soon.**
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