By Phuong Vo.T.H,Martin Czygan,Ashish Kumar,Kirthi Raman
Understand, assessment, and visualize data
About This Book
- Learn easy steps of knowledge research and the way to exploit Python and its packages
- A step by step consultant to predictive modeling together with suggestions, methods, and most sensible practices
- Effectively visualize a huge set of analyzed information and generate powerful results
Who This e-book Is For
This booklet is for Python builders who're willing to get into info research and want to imagine their analyzed facts in a extra effective and insightful manner.
What you are going to Learn
- Get conversant in NumPy and use arrays and array-oriented computing in info analysis
- Process and research facts utilizing the time-series features of Pandas
- Understand the statistical and mathematical strategies at the back of predictive analytics algorithms
- Data visualization with Matplotlib
- Interactive plotting with NumPy, Scipy, and MKL functions
- Build monetary types utilizing Monte-Carlo simulations
- Create directed graphs and multi-graphs
- Advanced visualization with D3
You will begin the path with an advent to the foundations of information research and supported libraries, besides NumPy fundamentals for data and knowledge processing. subsequent, you are going to evaluation the Pandas package deal and use its strong positive factors to unravel data-processing difficulties. relocating on, you'll get a quick evaluate of the Matplotlib API .Next, you'll learn how to control time and knowledge buildings, and cargo and shop facts in a dossier or database utilizing Python applications. you are going to the best way to practice strong programs in Python to procedure uncooked facts into natural and priceless facts utilizing examples. additionally, you will get a short review of computer studying algorithms, that's, using info research effects to make judgements or development beneficial items equivalent to options and predictions utilizing Scikit-learn.
After this, you are going to movement directly to an information analytics specialization—predictive analytics. Social media and IOT have ended in an avalanche of knowledge. you'll get begun with predictive analytics utilizing Python. you'll discover easy methods to create predictive versions from facts. you'll get balanced details on statistical and mathematical suggestions, and enforce them in Python utilizing libraries reminiscent of Pandas, scikit-learn, and NumPy. you are going to study extra concerning the top predictive modeling algorithms corresponding to Linear Regression, choice Tree, and Logistic Regression. eventually, you are going to grasp top practices in predictive modeling.
After this, you'll get the entire sensible tips you want to assist you at the trip to potent info visualization. beginning with a bankruptcy on information frameworks, and is the reason the transformation of knowledge into details and finally wisdom, this course accordingly conceal the full visualization method utilizing the most well-liked Python libraries with operating examples
This studying direction combines the superior that Packt has to supply in a single whole, curated package deal. It comprises content material from the next Packt products:
- Getting begun with Python info research, Phuong Vo.T.H &Martin Czygan
- Learning Predictive Analytics with Python, Ashish Kumar
- Mastering Python info Visualization, Kirthi Raman
Style and approach
The path acts as a step by step advisor to get you conversant in information research and the libraries supported through Python with assistance from real-world examples and datasets. It additionally is helping you achieve sensible insights into predictive modeling by means of enforcing predictive-analytics algorithms on public datasets with Python. The direction deals a wealth of useful counsel that can assist you in this trip to info visualization
Read or Download Python: Data Analytics and Visualization PDF
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Extra resources for Python: Data Analytics and Visualization
Python: Data Analytics and Visualization by Phuong Vo.T.H,Martin Czygan,Ashish Kumar,Kirthi Raman