Python for Data Analysis

Austin Scratch

ISBN 10: 1674400993 / ISBN 13: 9781674400990

Verlag: Independently Published, 2019

Beschreibung

Bestandsnummer des Verkäufers LU-9781674400990

Bibliografische Details

• Titel: Python for Data Analysis
• Verlag: Independently Published
• Erscheinungsjahr: 2019
• Sprache: Englisch
• ISBN-10: 1674400993
• ISBN-13: 9781674400990
• Einband: Paperback
• Zustand: New
• Abmessungen: 15,24B x 0,79 H x 22,86 T Zentimeter Breite: 15,24 cm, Höhe: 0,79 cm, Tiefe: 22,86 cm
• Gewicht: 195 Gramm

Über diesen Titel

Inhaltsangabe

How are data analytics truly changing the world? What’s happening in the computer programming’s world with python? Why is python the best programming code?

What are data without analytics? If you ask them once, then keep reading!!

The truth is that you cannot make decisions if you do not analyze these data.

With big data analytics, organizations are able to use the findings in creating new opportunities for growth.

It is thanks to data analytics that we have smart business moves, efficient operations, high profits and happy clients. 

The main idea here is to share our business prospects in a way that improves the future through better decisions. 

According to statistics, it is evident that data are increasing at a very rapid rate and information is growing as well. 

If we waste data, we are simply losing valuable information. Data analytics can improve efficiency, cost-reduction, faster and better decision-making and increase industry knowledge and more…

Trust me, the list is endless! 

It does not matter whether it is in business, sports, or just in your daily activities, data analytics have altered the manner in which people think and act.  

Some of the different topics that we will discuss in this guidebook to help you will include:

• Will You Migrate from Perl To Python?
• Five Important Considerations in Data Science
• Introduction to Statistics
• Detecting and Treating Outliers
• Control Flow Tools
• Methods and manipulating the ndarray in NumPy
• Data frames
• IPython and Jupyter Notebooks
• Numpy for Numerical Data Processing
• Challenges of Categorical Data
• Loading Data, File Formats and Storage
• Career Applications… AND MORE!!!

Even if you never studied code programming or technology but you have the desire to became an expert in growing your business or something else, this book can help only if you buy it NOW.

Scroll up and click the “buy now” button to start with coding in Python for data analysis!