Python for Data Science and AI
This Python for Data Science and AI is a beginner-friendly course that teaches Python programming from scratch, no prior experience is required. You will learn about Python basics, data types, data structures, and libraries like Pandas, Numpy & Beautiful Soup, and apply your knowledge through hands-on labs using Jupyter Notebooks. The course covers tasks such as data collection, web scraping, and API usage. Demand for individuals who can apply Python is high and this course will kickstart your learning.
per person
Level
Duration
Training Delivery Format
Face-to-face / Virtual Class
per person
Level
Duration
Training Delivery Format
Face-to-face (F2F) / Virtual Class
Class types
Public Class
Private Class
In-House Training
Bespoke
About this course
This Python for Data Science and AI is a kickstart of your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience is necessary!
You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks.
Who should attend?
This Python for Data Science and AI is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.
Learning Outcome
By the end of this Python for Data Science and AI course:
- You’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.
Course Objectives
What You Will Learn
- Data Science
- Python
- Programming
- Numpy
- Pandas
Prerequisites
No prior programming experience is required to learn this Python for Data Science and AI.
Course Content
Module 1: Python Basics
This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.
- Your first program
- Types
- Expressions and Variables
- String Operations
Module 2: Python Data Structures
This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.
- Lists and Tuples
- Sets
- Dictionaries
Module 3: Python Programming Fundamentals
This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.
- Conditions and Branching
- Loops
- Functions
- Objects and Classes
Module 4: Working with Data in Python
This module explains the basics of working with data in Python and begins the path of learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.
- Reading files with Open
- Writing files with Open
- Loading data with Pandas
- Pandas: Working with and Saving Data
- One Dimensional Numpy
- Two Dimensional Numpy
- Simple APIs (Part 1)
- Simple APIs (Part 2)
Certification
This is a non-certification course.
If you are looking for a certification, Pyhton Institute offers the best options for you to choose from.
You can start with PCEP, Certified Entry Level Python Programmer.
Then you can pursue PCAP, Certified Associate in Python Programming, and then PCPP, Certified Professional in Python Programming 1.
FAQs
Q: What prior programming knowledge is required to take this Python for Data Science and AI course?
A: No prior programming experience is required. This course starts with the basics and is suitable for beginners.
Q: What practical skills will I gain from this Python for Data Science and AI course?
A: By completing this course, you’ll acquire practical skills in Python programming, including working with data structures, writing functions, handling exceptions, and manipulating data using libraries like Pandas and Numpy.
Q: How will Python for Data Science and AI be delivered?
A: The course is delivered in a virtual class or in a face-to-face physical class.
Q: Will there be any hands-on projects or assignments?
A: Absolutely! Throughout the course, you’ll work on real-world projects and coding exercises to apply the concepts you learn. These projects will help reinforce your understanding and build a portfolio to showcase your skills.
Q: Can you share some examples of potential career paths for Python programmers?
A: Python is widely used in various industries, including web development, data analysis, machine learning, and automation. As a Python programmer, you could pursue roles like a Python developer, data analyst, machine learning engineer, or software engineer.
At this time, this course is available for private class and in-house training only. Please contact us for any inquiries.