Introduction to Data Analytics (E-Learning)

This Introduction to AI provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised, and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

This Self-Paced E-Learning course is done in partnership with SimpliLearn. It consists of 4 modules and 3 Months of account validity to finish the course. Upon successful completion of the Artificial Intelligence online course, you will receive an industry-recognized course completion certificate from SimpliLearn and Aventis which will enhance your portfolio.

Eligibility

This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.

Pre-requisites

There are no prerequisites for opting for this Introduction to Artificial Intelligence for beginners. It does not require programming or IT background, making it ideal for professionals from all walks of corporate life.

Lesson 1 – Course Introduction

Lesson 2 – Data Analytics Overview

Lesson 3 – Dealing with Different Types of Data

Lesson 4 – Data Visualization for Decision making

Lesson 5 – Data Science, Data Analytics, and Machine Learning

Lesson 6 – Data Science Methodology

Lesson 7 – Data Analytics in Different Sectors

Lesson 8 – Analytics Framework and Latest trends