data track - enjoy playing with the data
Data Science and machine learning are the talk of the town nowadays. Data scientists and analysts are increasingly in demand in every country and they’re essential to help the city's most innovative companies compete and grow. As a data scientist or analyst, you could influence everything from marketing forecasts to product launch. From digital marketing to product management and sales operations, more and more careers prioritise data analysis skills. These skills are also a path to high-profile positions at some of today’s most innovative tech companies. Learny Technologies is the place with best trainers and resources. Learny’s Data track include:
Data science is an extremely diverse field. This means that it’s virtually impossible to squeeze every concept and tool into one single project. You need to pick and choose which skills you want to focus on developing further. A few relevant examples could include:
Data mining and cleaning
Machine Learning and Modelling
You may tie a few concepts together, for example you can clean and analyze the data for data analysis, and then visualize it in an interesting way.
The following graph is an example for analyzing the client type.
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" with data, without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available.
Artificial intelligence is the branch of science and technology that concerned with the study of software and hardware to provide machines the ability to learn insights from data and environment, and the ability to adapt in changing situation with high precision, accuracy and speed.
Deep learning is a machine learning technique that teach computers to do what comes naturally to humans. A deep learning model is able to learn through it’s own computing, it learns everything with its own brain. It’s similar to how a human would perceive something, think about it, and then draw a conclusion. To achieve that, deep learning uses a layered structure of algorithms called an artificial neural network. It’s design is inspired by the biological neural network that the human brain uses.