Python for Data Analysis: The Top Guide for Beginners to Discovering Data Science from Scratch, Data Analysis, Analytics & Machine Learning using Python with Business Cases - 4 Books in 1

by DataAndCode Academy

If yes, then this Guide is for you! This is the Top Guide to learning Data Analysis & Analytics, Data Science and Machine Learning with 4 Manuscripts in 1
1-Python for Data Analysis & Analytics
2-Data Science Core
3-Data Science Annex
4-Machine Learning Introduction.
A great Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples.
In Manuscript 1 “ Python for Data Analysis & Analytics ” you'll
- What Data Analysis is and why it is important
- What are the different types of Data Analysis
- What are the 6 key steps of the Data Analysis process that you should follow
- What are the applications of Data Analysis and Analytics
- How to set up the Python environment for Data Analysis
- What are and how to use Python Data Structures
- How to work with IPython/Jupyter Notebook
- How to work with NumPy
- How to visualize data with Matplotlib
- What other visualization libraries are out there
In Manuscript 2 “ Data Science Core ” you'll
- What is Data Science and what does it encompass
- What are the 5 key steps of the Data Science process that you should follow
- How to set up the Python environment for Data Science
- How to work with Seaborn data visualization module
- How to leverage the Scikit-Learn module for Machine Learning
- How to leverage Data Science in the Cloud
In Manuscript 3 “ Data Science Annex ” you'll
- What are the most important applications of Data Science
- What are the most important Machine Learning Algorithms
- Why is Big Data important and how to get the best out of it
- How to leverage Neural Networks
- What are the main Data Mining Techniques
And much more…
In Manuscript 4 “ Machine Learning Introduction ” you’ll discover
- What is Machine Learning and what does it encompass
- What are the 7 Steps of the Machine Learning Process
- What are the different Machine Learning types
- How is Machine Learning applied to the real world
- What are the most important Python libraries for Machine Learning
And much more…

 

270 pages, Kindle Edition

Published February 19, 2021