Learning Python Data Analysis [Video]
Packt Publishing
Summary
Overview
Analyze and understand your data with the power and simplicity of Python.
Video Description:
Python features numerous numerical and mathematical toolkits such as: Numpy, Scipy, Scikit learn and SciKit, all used for data analysis and machine learning. With the aid of all of these, Python has become the language of choice for data scientists for data analysis, visualization, and machine learning.
This video aims to teach Python developers how to perform data analysis with the language by taking advantage of the core data science libraries in the Python ecosystem. The learning objective for viewers is to understand how to locate, manipulate, and analyse data with Python, with the ability to analyse large and small sets of data using libraries such as Numpy, pandas, IPython and SciPy.
This is a two part series. The first series is focused on getting and manipulation sizeable amounts of data using modern techniques. The second series is focused on advanced analysis of the data to include modern machine learning techniques.
Description
What You Will Learn:
- Advanced and recommend software engineering development practices.
- How to scrape the twitter stream to collect real time data
- Smart storing of data using advanced abstractions and Object-Oriented programming
- Easy and practical data manipulation techniques for dealing with large volumes of data
- Natural Language Processing tools, special designed for working with sentences and other forms of textual data
- Predictive methods that can forecast and predict future trends based on current data
- Data analytics techniques to tease out unseen data relationships
- Dashboard application development to help share and monitor your progress/analysis
Who is this course for?
Style and Approach:
Through the course, you will come to understand the different disciplines of data analysis using hands-on examples where you actually solve real-world problems in Python.
Questions and answers
Currently there are no Q&As for this course. Be the first to ask a question.
Reviews
Currently there are no reviews for this course. Be the first to leave a review.
Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.