Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format. In this training we are going to learn how to use Python to create fascinating data visualizations. The training includes Getting Data off the Web with Python, Heavyweight Scraping with Scrapy, Plotting and Visualization, Data Aggregations and Group operations, Financial and Economic Data Application.
Many of us have believe that statistics is one the next sexy jobs that is coming up in the career opportunities (this fact is vouched by even Hal Varian). Almost five years Tim O’Reilly said that data is the next big thing to happen in the world. But what exactly is data and why is it so important? And why is there so much importance being given to statistics and data in the world today? The web is full of apps that are driven by data.
All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science.
A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data. This training is a concept of statistical concepts that are very important to Data science domain and its application using Python.
Artificial Intelligence with Python
Machine Learning using Python
Statistics for Data Science using Python
Video Analytics Using Opencv and Python Shells
Pandas with Python Tutorial
Data Science with Python
Skills you will master
- Data Science
- Data visualizations
- Artificial Intelligence
- Video Analytics
- Python Shells
- Machine Learning
- Linear Algebra
- Gradient Descent
- Predictive Analysis
- Random Forest
- Grid Search
- Adaboost Regressor
- Affinity Propagation Model
- Gaussian Mixture Model
- Heuristic Search
- Color Models
- Image Loading
- Image Thresholding
Questions and answers
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I have seen your other course - Become a Python Developer. Please advise the main difference with regards to complexity of Python programming.
Hello Become a Python Developer - Is for you to learn Python programming from scratch BECOME A PYTHON DATA SCIENTIST - Will require some knowledge of Python programming before hand If you are new to Python programming go with the first. Thanks AatishThis was helpful. Thank you for your feedback.
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