Following Points are discussed in detail :
➢ Introduction
• What is Data Science
• Roles of Data Scientist and Data Analyst
• How does Data Science Impact Organizations?
➢ Data Analysis
• Types of Data
• Handling Structured Data

• Analyzing Problem w.r.t needs
• Data Visualization Techniques
➢ Machine Learning Algorithms
• What is Algorithm?
• Python Libraries for Data science
• Modelling Statistics
➢ Supervised and Unsupervised learning
• Classification Problems with Example
• Regression Problems with Example
• Understanding of Feature and Target Variable.
➢ Future Price Prediction using sales Dataset
• Cleaning The Dataset
• Analyzing The Data
• Data Modelling using Machine Learning
• Data Visualization
Location- Webinar, Speaker- Mr. Darpan Salunke, No. of Participants- 73+7