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Data Science Project: Hands-on with Python
Course
Data Science Project: Hands-on with Python
Get hands-on practice applying your Python skills for data analysis in a project you can talk about in interviews.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
8 hours
Get ready to showcase your foundational Python skills for working with data!
During this course, youll assume the role of a data scientist or a data nalyst. Youll immerse yourself in a real-world scenario where youre given a real-world data set, and your task will be identifying patterns and trends. Plus, youll perform specific data science and analytics tasks such as extracting data, web scraping, visualizing data, and creating a dashboard to achieve this. Youll also demonstrate your proficiency with Python and use libraries such as Pandas and Beautiful Soup within a Jupyter Notebook.
Once youve successfully completed the course, youll have an impressive project to add to your job portfolio.
Enroll today and get ready to add valuable practical experience to your resume that employers look for!
This course comprises two purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 8 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Demonstrate Python skills for data science challenges.
- Scrape data from web pages.
- Extract and display data with Pandas.
- Create a KPI dashboard from a specific dataset.
- Aspiring data scientists
- Students and recent graduates
- Proficiency in Python and data manipulation
Course Outline
General Information
Learning Objectives
Syllabus
Grading Scheme
Welcome
Course Introduction
Learning Objectives
Intro to Web Scraping
Video: HTML for Webscraping (4:59)
Video: Webscraping (4:59)
Hands-on Lab: Intro to Web Scraping Using BeautifulSoup
Learning Objectives
Reading: Project Overview, Incomplete2 min2 minutes
Reading: Stock Shares
Hands-on Lab: Extracting Stock Data Using a Python Library
Graded Quiz: Extracting Stock Data Using a Python Library (3 Questions)
Extracting Stock Data Using Web Scraping
Graded Quiz: Extracting Stock Data Using a Web Scraping (3 Questions)
Reading: Tesla and GameStop Analytical Dashboard
Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard
(Optional)Hands-on Lab: Create IBM Cloud account and Watson Studio instance
(Optional) Jupyter Notebook to complete your final project
(Optional) Hands-on Lab: Add notebook to Watson Studio
(Optional) Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard
(Optional) Hands-on Lab: Share your notebook from Watson Studio
Peer-Graded Assignment (1 Question)
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.
FAQs
The course helps you apply your Python knowledge through a real-world project that simulates tasks performed by data analysts and data scientists. Youll practice data extraction, web scraping, and data visualization using tools like Jupyter Notebook and Pandas to build a KPI dashboard.
Youll learn how to collect, clean, and analyze data using Python. The project focuses on data extraction, web scraping with Beautiful Soup, visualizing insights, and building an interactive dashboard. Its a practical way to strengthen your portfolio and prepare for job interviews.
Yes. You should already know Python basics and data manipulation techniques. Completing the Python for Data Science, AI, and Development course (or having equivalent skills) is recommended before taking this course.
Yes, youll work on a real-world dataset to analyze stock performance and create a KPI dashboard. The data science projects in Python project simulate a professional data science task where youll identify patterns and trends from live data.
Yes. Youll learn web scraping techniques using Python and the Beautiful Soup library to extract valuable data from web pages efficiently.
Youll use Pandas to clean, transform, and analyze datasets. Its one of the key libraries used throughout the project to manage and visualize data.
Yes. Youll perform all your analysis, web scraping, and visualizations in Jupyter Notebook, just as data professionals do in real-world environments.
Youll complete a data analysis project where you analyze stock performance, extract insights, and present them through a well-designed dashboard. The completed project will serve as a strong addition to your professional portfolio.
The course typically takes about 23 weeks to complete, depending on your schedule and prior experience with Python.
Yes. After finishing all course requirements, youll receive a certificate you can share on your resume or LinkedIn profile.
Yes. This course is one of the final modules in the IBM Data Analyst Professional Certificate program, serving as your hands-on capstone experience.
By completing this course, youll gain practical experience in data analysis and visualization, build a job-ready portfolio project, and demonstrate skills employers look for in data science and analytics roles.
Type of certificate
IBM Certificate
About this course
02 Modules
05 Skills
Includes
Discussion space
07 Hands-on labs
02 Graded quizzes
01 Final project
Create
Building a Dashboard
Exercises to explore
Web Scraping
Extracting Stock Data
Watson Studio
This course has been created by
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