DATES TO BE ANNOUNCED
Python is a popular general-purpose programming language that can be used for a wide variety of applications – especially in data analytics. Python’s simplicity lets newcomers learn to use it quickly, yet it is still powerful enough for experts. Users can spend more time solving problems and less time thinking about how the language actually works. In this hands-on course, you learn the basics of Python and take home code that you can reuse in your workplace.
Knowledge of Python has become a skill much sought by employers in a wide variety of fields. It has become so popular that it is taught from high school through graduate school.
This course involves lecture, demonstration, hands-on practice and instructor coaching.
This course can be applied to the following certificates:
AI Python Certificate
Data Analysis Certificate
Benefits and Learning Outcomes
- Understand the capabilities of the Python ecosystem
- Memorize the basic syntax and program flow operators
- Install packages to extend the features of the core language
- Solve practical business problems with Python automation
- Build a portfolio of simple programs which help you save time and avoid errors in your daily work
Course Outline/Topics
- Overview of Python
- Uses of Python in business and academics
- How to configure your development environment
- Saving current work and accessing previous work
- Basic commands and capabilities
- Workspace navigation
- Data types, operations, logic and control flow commands
- Running programs in the IDE and command prompt
- Explaining how Python uses various data types
- Creating your own Python functions for financial calculations
- Interpreting and fixing errors through debugging
- Using and installing packages
- Exploring the built-in standard packages that come with Python
- Extending functionality by installing new packages with pip
- Explaining the most commonly used packages
- Importing and manipulating data
- Getting user input into your programs
- Reading and writing to text files
- Data cleaning and preparation tips
- Merging together multiple data sources
- Reading and writing to Excel files
- Intro to Pandas DataFrames
- Making decisions with data
- How to translate business needs into small useful programs
- Incorporating business logic into data processing rules
Who Should Attend
The target audience for this course is analysts and others who are called upon to interpret data, identify trends and provide insights.
Prerequisites
No previous computer science or programming skills are necessary.