Programming
Python for Data Science & Automation
Write powerful Python code for automation, data analysis and scripting.
About this course
This course covers Python fundamentals, data structures, OOP, file handling, REST APIs, web scraping, Pandas, NumPy, Matplotlib and automation scripting — building real-world projects from day one.
Learning roadmap
1
Python basics & data structures
Syntax, loops, functions, lists, dicts, tuples
2 weeks
2
OOP & file handling
Classes, inheritance, reading/writing files, JSON
2 weeks
3
APIs & web scraping
Requests, BeautifulSoup, REST API integration
2 weeks
4
Data analysis
Pandas, NumPy, Matplotlib, data cleaning
2 weeks
5
Automation & exam prep
Selenium, scripting projects, certification mock
2 weeks
Certification details
Python Certified Entry/Associate Professional
Issued by Python Institute ·
Valid for Lifetime ·
Exam code: PCEP/PCAP
60 questions · 65 min · Mixed format · Cost: USD 295
Globally recognized
Market demand
Most in-demand language 2024
Industry ranking
Salary range (annual, USD equivalent)
Career growth path
Sr. Data Scientist
Expert
Lead / Principal Engineer
Lead
Interesting facts
Python has been the #1 most popular programming language for 4 consecutive years.
Python powers Instagram, Spotify, NASA, and over 8 million public GitHub repositories.
Python developers are among the most in-demand globally, with roles in AI, finance, and DevOps.
The average Python developer salary in the US is $120,000 per year.
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