Machine Learning and Data Science
Machine Learning and Data Science
An Overview of Analytics and Data Science
Prominence of Analytics in the current world
Application of Analytics
Analytics Technologies and Resources
Models and Algorithms
Business Statistics and Application
An introduction to statistics
Descriptive Statistics
Probability and Sampling
Inferential Statistics
Hypothesis Testing
Introduction to Python
Understanding Analytics & Exploring Python
Syntax in Python
Data Manipulation in Python
Data Visualization in Python
Art of solving a business problem
Data Science Life Cycle
Exploratory Data Analysis
Visualisation
Data Pre-processing and imputation
Feature Engineering
Predictive Models and Machine Learning
Supervised Machine Learning
Linear Regression Models
Classification Models
Unsupervised Machine Learning
K-Means Clustering Models
Capstone Project
Understand the business problem for the use case provided
Participate in a formal group discussion on the underlying premises and the hypothesis
Work in groups to analyze the data and come-up with inferences and insights
Individually build a suitable data analytics model
Measure the accuracy of the model and develop an Analytics Project Report