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Python Project for Data Science
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The Python Project for Data Science certification course, created by IBM Skills Network and taught by Azim Hirjani, a Cognitive Data Scientist, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, is offered through Coursera, which is designed for candidates who want to learn about the strategies and procedures related to using Python programming to work with data for data science operations.
Python Project for Data Science online training involves 8 hours of digital lectures accompanied by hands-on projects where students will be assisted in creating a simplistic dashboard in Python. The Python for Data Science, AI, and Development course by IBM is a prerequisite for participation in the Python Project for Data Science online course, which teaches students about topics like data structures, data extraction, data analysis, dashboards, web scraping, and much more.
The highlights
- Shareable certificate of completion
- Self-paced course
- 8 hours effort
- 100% online content
- Flexible deadlines
Program offerings
- English video lectures with subtitles
- 100% online content
- Learning resources
- Practice exercises
- Graded assignments
- Graded quizzes
- Accessible on mobile devices and tv
Course and certificate fees
The fees for course Python Project for Data Science Fee Structure is -
Certification | Fee Amount in INR |
Python Project for Data Science (Audit) | Free |
Python Project for Data Science - 1 month | Rs.4,117 /- per month |
Python Project for Data Science - 3 months | Rs.2,745 /- per month |
Python Project for Data Science- 6 months | Rs.2,059 /- per month |
certificate availability
Yes
certificate providing authority
Coursera
Who it is for
What you will learn
Data science knowledge
Knowledge of python
After completing the Python Project for Data Science online certification, candidates will acquire a solid understanding of the principle and concepts associated with python programming for data science operations including data analysis. Candidates will explore the techniques used to work with data structures as well as will acquire the skills to create dashboards using Jupyter notebooks. Candidates will also learn about concepts involved with data extraction and web scraping.
The syllabus
Module 1: Crowdsourcing Short squeeze Dashboard
Videos
Readings
- Course Introduction
- Intro to Web Scraping
- Project Overview
- Stock shares
- Optional: Gamestop stock vs Tesla1
- Jupyter Notebook to complete your final project
- Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard
- Next Steps
quizzes
- Extracting Stock Data Using a Python Library
- Extracting Stock Data Using a Web Scraping•
peer review
- Analyzing Historical Stock/Revenue Data and Building a Dashboard
app items
- Intro to Web Scraping Using BeautifulSoup
- Extracting Stock Data Using a Python Library
- Extracting Stock Data Using Web Scraping
- Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard
- (Optional)Obtain IBM Cloud Feature Code and Activate Trial Account
plugins
- Reading: yfinance Library
- (Optional)Hands-on Lab: Create IBMCloud account and Watson Studio instance
- (Optional)Hands-on Lab: Add notebook to Watson Studio
- (Optional)Hands-on Lab: Share your notebook from Watson Studio
Instructors
Mr Joseph Santarcangelo
Data Scientist
IBM
Ph.D
Mr Azim Hirjani
Cognitive Data Scientist
IBM
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