Getting started with Python
Getting started with Python (3 days)
Python has gathered a lot of interest recently as a choice of language for data analysis. This course provides fundamentals of the Python programming language. It covers all you need to know to get started with Python quickly and easily. You will learn to use Python software to read data, access, manage and manipulate data, solve problems, save programs and data, use conditional logic, combine files, produce tables and listings of data, and use data analysis techniques.
Course Outline
- Getting started & introduction to Python
- Data Management with Pandas
- Data types
- Importing, reading and writing of data
- Indexing, filtering and assigning
- Summary functions and maps
- Grouping and sorting
- Missing value treatment
- Combining, wrangling, integration and renaming of data
- Working with date, time and datetime datatypes
- Looped processing & working with variables
- Data Visualization with Matplotlib & Seaborn
- Basic Statistics
- Introduction to Machine Learning Techniques with scikit-learn
- Introduction and basic principles
- Supervised Learning
- Unsupervised Learning
- Model interpretation & evaluation techniques
Who should attend
Data Scientists, statisticians, mathematicians, business analysts, market researchers, and information technology professionals who want to get started with Python and need to make better use of their data.
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