Duration
2 days
Introduction to the Data Science in Python
- What is Data Science?
- Introduction to the Python Data Science Tool
- Introduction to the Python Data Science Environment
Introduction to Python Pre-Requisites for Data Science
- Different Types of Data Used in Statistical & ML Analysis
- Different Types of Data Used Programmatically
- Python Data Science Packages To Be Used
- Data Cleansing
Module 4 Overview of Numpy
- What is Numpy?
- 1D Numpy Array
- Special 1D Functions
- High Dimensional Arrays
- Selecting and Slicing Array Elements
- Filtering Array Elements
- Transforming Array
- Statistical Operations
Data Visualization with Matplotlib
- Overview of Matplotlib & Seaborn
- Plot Attributes
- Plot Types
- Seaborn Styling
- Pandas Plots
Control flow and Pandas
- What is Pandas
- Data Frame
- Create DataFrame
- Import CSV and Excel Data
- Selecting and Slicing Data
- Filtering Data
- Dealing with Missing and Duplicated Data
- Joining Data
- Aggregating Data
Basics of statistics
- Quantitative Vs Qualitative Analysis
- Normal & Standard Deviations
Programme scope, delivery arrangements and suitability are confirmed during enquiry.