Introduction to Data Analytics
About This Course
Who Should attend: Students pursing graduation
Pre-requisites: Knowledge of statistics, mathematics
Course Outline:
• Python & Data handling with Python library Pandas, Numpy
• Introduction to Descriptive Statistics
• Introduction to Supervised & Unsupervised Learning
• Data Analytics with Python & R
• Predictive Analytics
• Advanced Excel
• Introduction to Machine Learning
• Data Handling, Data Presentation
• Data Visualisation with Tableau
• Project
Learning Objectives
Python & Data handling with Python library Pandas, Numpy
• Introduction to Descriptive Statistics
• Introduction to Supervised & Unsupervised Learning
• Data Analytics with Python & R
• Predictive Analytics
• Advanced Excel
• Introduction to Machine Learning
• Data Handling, Data Presentation
• Data Visualisation with Tableau
• Project
Requirements
- : Knowledge of statistics, mathematics