Course Overview
The course covers essential concepts for tackling common industrial problems using Advanced Analytics. It includes data extraction and wrangling techniques; supervised & unsupervised ML techniques; feature engineering; overview on deep learning and natural language processing techniques.
Course Objective
To introduce the participants to the world of Advanced Analytics in current business context. The course aims to empower participants with some common tools in Artificial Intelligence and Machine Learning that they can use to solve real world problems.
Course Highlights
This course is the first step in learning how to work with advanced analytics, building the context needed to understand the big picture. The course shall also include hands-on sessions so that theories learnt are used in practice.
Get a step-by-step learning roadmap to become an Advanced Analytics practitioner. You will not only get a comprehensive overview of the theory but also the know-hows of its application in the industry.
People who have an inclination towards number crunching and programming with willingness to understand what advanced analytics is all about. This course is also for professionals who want to upskill themselves and add value to their business by learning some powerful Advanced Analytics tools
40 Hrs
- Advanced Analytics Introduction
- Business Statistics
- R Programming Concepts
- Python Programming Concepts
- Data Preprocessing & Data Wrangling
- Regression Techniques
- Classification Techniques
- Feature Engineering
- Segmentation Techniques
- Time Series Analysis & Forecasting
- Optimisation and Linear Programming Techniques
- Natural Language Programming Basics
- Overview of Artifical Neural Networks
