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Python Fundamentals for Beginners
Course
Python Fundamentals for Beginners
This Python course provides a beginner-friendly introduction to Python for data science. Practice through lab exercises, and you'll be all set to create your first Python script!
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
Course Outline
Course Introduction
General Information
Reading: About this course
Reading: Course Overview
Syllabus
Learning Objectives
Grading Scheme
Module Introduction and Learning Objectives
Video: Introduction to Python (4:14)
Reading: Introduction to Jupyter
Video: Getting Started with Jupyter (4:01)
Hands-on Lab: Write Your First Program
Video: Types (3:02)
Hands-on Lab: Types
Practice Quiz: Types
Video: Expressions and Variables (3:55)
Hands-on Lab: Expression and Variables
Practice Quiz: Expressions and Variables
Video: String Operations (3:58)
Hands-On Lab: String Operations
Practice Quiz: String Operations
Graded Quiz: Python Basics (10 Questions)
Module Introduction and Learning Objectives
Video: Lists and Tuples (8:51)
Hands-On Lab: Lists
Hands-On Lab: Tuples
Reading: Cheat Sheet - Lists and Tuples
Practice Quiz: Lists and Tuples
Video: Dictionaries (2:25)
Hands-On Lab: Dictionaries
Practice Quiz: Dictionaries
Video: Sets (5:17 )
Hands-On Lab: Sets
Reading: Glossary - Python Data Structures
Reading: CheatSheet - Dictionaries & Sets
Practice Quiz: Sets
Graded Quiz: Python Data Structures (10 Questions)
Module Introduction and Learning Objectives
Video: Conditions and Branching (10:17)
Hands-on Lab: Conditions and Branching
Practice Quiz: Conditions and Branching
Video: Loops (6:45)
Reading: Loops
Hands-on Lab: Loops
Practice Quiz: Loops
Video: Functions (13:31)
Hands-on Lab: Functions
Practice Quiz: Functions
Video: Exception Handling (3:49)
Hands-On Lab: Exception Handling
Practice Quiz: Exception Handling
Video: Objects and Classes (10:52)
Reading: Objects and Classes
Hands-on Lab: Objects and Classes
Discussion Prompt: Classes in Python
Practice Quiz: Objects and Classes
Practice Lab: Text Analysis
Graded Quiz: Python Programming Fundamentals (10 Questions)
Module Introduction and Learning Objectives
Video: Reading Files with Open (3:43)
Hands-On Lab: Reading Files with Open
Video: Writing Files with Open (2:54)
Hands-On Lab: Writing Files with Open
Practice Quiz: Reading & Writing Files with Open
Video: Pandas: Loading Data
Video: Pandas: Working with and Saving Data (2:06)
Practice Lab: Selecting data in a Dataframe
Obtain an IBM Cloud Feature Code
Hands on Lab: Pandas
Practice Quiz: Pandas
Video: One Dimensional NumPy (11:23)
Hands-On Lab: One Dimensional Numpy
Video: Two Dimensional NumPy (7:13)
Hands-On Lab: Two Dimensional Numpy
Reading: Cheatsheet - Working with Data in Python
Reading: Some Context on APIs
Module 4 Summary: Working with Data in Python
Practice Quiz: Numpy in Python
Reading: Glossary - Working with Data in Python
Graded Quiz: Working with Data in Python (10 Questions)
Module Introduction and Learning Objectives
Video: Application Program Interface (5:12)
Hands-On Lab: Introduction to API
Practice Quiz: Simple APIs
Video: REST APIs & HTTP Requests - Part 1 (4:11)
Video: REST APIs & HTTP Requests - Part 2 (4:56)
Hands-on Lab: Access REST APIs & Request HTTP
Hands-On Lab: API Examples
Video: Webscraping (4:59)
Hands-on Lab: Web Scraping
Video: Working with different file formats (csv, xml, json, xlsx) (4:11)
Hands-on Lab: Working with different file formats
Cheat Sheet: APIs and Data Collection
Practice Quiz: REST APIs, Webscraping, and Working with Files
Practice Project: GDP Data Extraction and Processing
Graded Quiz: APIs, and Data Collection (5 Questions)
Instructions
Final Exam (20 Questions)
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
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Upskilling for promotion? We’ll help you.
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Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Type of certificate
IBM Certificate
About this course
05 Modules
06 Skills
Includes
Discussion space
25 Hands-on labs
16 Practice quizzes
05 Graded quizzes
01 Final exam
Create
REST APIs & Request HTTP
Web Scraping
Exercises to explore
Python Data Structures
Python Programming Fundamentals
Reading & Writing Files
Pandas
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