Using Python for Data Analysis

Description:

In this course you will learn how to use the main Python data analysis tools such as NumPy, pandas, Matplotlib, as well as learn IPython, Jupyter Notebook and how to use the Anaconda distribution.

Data analysis is the activity of transforming a data set in order to be able to verify them better while giving them a raison detre and rational analysis. It is analyzing the data of a problem and identifying it. Data analysis has different facets and approaches, incorporating various techniques. It has great importance in areas such as science, social studies and business, due to the diversity of possible models.

Basic knowledge:

Having taken the Python for Everyone course (from the same instructor) or another basic Python course is important because no basic subjects will be covered in this course.

Anyone interested in learning more about python, data science, or data visualizations. Anyone interested about the rapidly expanding world of data science!

Course Completion Certificate.

What will you learn:

In this course you will learn how to use the main Python data analysis tools such as NumPy, pandas, Matplotlib, as well as learn IPython, Jupyter Notebook and how to use the Anaconda distribution. Data analysis is the activity of transforming a data set in order to be able to verify them better while giving them a raison d'

Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.

Why Simpliv

With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.

Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.