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Python for Data Science, AI & Development
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Course
Python for Data Science, AI & Development
Build your knowledge of the fundamentals of Python. Solve real-world problems in Python through hands-on exercises.
Develop highly sought-after skills in one of the world’s most popular programming languages.
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
5 weeks, online
2–5 hours/week
2–5 hours/week
Course Outline
Welcome! (2:28)
General Information
Learning Objectives
Syllabus
Grading Scheme
Change Log
Copyrights and Trademarks
Learning Objectives
Your First Program (1:15)
Quick Practice Lab
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Types (3:02)
Quick Practice Lab
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Expressions and Variables (3:55)
Lab - Write your first Python code!
String Operations (3:58)
Quick Practice Lab
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Lab - String Operations
Review Questions
Learning Objectives
Lists and Tuples (8:51)
Quick Practice Lab
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Tuples
Lists
Sets (5:17)
Quick Practice Lab
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Lab-Sets
Dictionaries (2:24)
Quick Practice Lab
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Labs-Dictionaries
Review Questions
Learning Objectives
Conditions and Branching (10:17)
Quick Practice Lab
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Lab-Conditions and Branching
Loops (6:45)
Quick Practice Lab
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Lab-Loops
Functions (13:32)
Quick Practice Lab
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Lab-Functions
Objects and Classes (10:52)
Quick Practice Lab
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Labs-Objects and Classes
Lab - Exception Handling
Review Questions
Learning Objectives
Reading files with open (3:43)
Using loc, iloc, and ix
Lab Reading Files
Writing files with open (2:54)
Lab: Writing files
Loading data with Pandas (3:02)
Quick Practice Lab
Reading: Using loc, iloc and ix (10 min)
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Working with and Saving data with Pandas (2:06)
Quick Practice Lab
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Loading Data and Viewing Data Pandas and IBM Watson Studio
Lab- Loading Data and Viewing Data
Review Questions
Learning Objectives
Numpy 1D Arrays (11:23)
Quick Practice Lab
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Lab - Working with 1 D-Numpy Arrays
Numpy 2D Arrays (7:13)
Quick Practice Lab (Numpy 2D Arrays)
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Lab - Working with 2 D-Numpy Arrays
Review Questions
Video: Simple APIs - Part 1 (5:49)
Video: Simple APIs - Part 2 (5:06)
Instructions for Speech to Text and Language Translator API Keys
Lab: Introduction to API (1 Hr)
Lab: Watson Speech to Text and Language Translator API
Lab: HTTP and Requests
Course Summary (1:13)
Reference
Introduction
Guidelines for Submission
Final Assignment: Peer Review Questions
Instructions
Final Exam
Download your Certificate
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.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
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
01 Skill
Includes
Discussion space
35 Hands-on labs
03 Exercises
19 Quizzes
21 Videos
Create
Jupyter Notebook using IBM Watson Studio with Python
Exercises to explore
IBM Watson
Python
Jupyter Notebook
This course has been created by
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