Data analytics is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Python is the most preferred language in Data Analytics as its most simple statistical language. One can focus more on problem statement then the complexity of coding.

Python has dynamic libraries like Numpy, Psipy, Matplotlib, Scikit and many more which are used to handle your data seamlessly. Libraries are set of predefined code, which lets you work quickly in less line of codes. After completion participant able to perform Machine Learning techniques like Forecasting, Prediction, Time Series Analysis, Data Mining and Many More in both Python. Course prepares you for roles like Data Analyst, Jr.Data Scientist, and Business Analyst.