Objective of course Build a strong foundation in Python programming for practical applications. Learn data handling, automation, and visualization skills. …
Objective of course
- Build a strong foundation in Python programming for practical applications.
- Learn data handling, automation, and visualization skills.
- Learn Python libraries like NumPy, Pandas, and Matplotlib.
- Prepare participants for job roles in programming, data analysis, and automation.
Job roles in industry
- Python Developer
- Data Analyst
- Automation Engineer
- API Developer
Included in this course
- Python Basics
- Data Handling
- Automation
- Hands on project
- CV Making & Interview Preparation
Passing criteria
Learner needs to score minimum 60% to pass the exam. Scores are given for every quiz & assignment.
Course Currilcum
-
- Setting up the environment (IDEs, Anaconda, Jupyter) Unlimited
- Python basics: syntax, variables, data types, and operators. Unlimited
- Control structures: loops and conditional statements. Unlimited
- Functions, modules, and code organization. Unlimited
- Hands-on exercises: writing simple programs. Unlimited
-
- Data structures: lists, tuples, sets, and dictionaries. Unlimited
- File handling: reading and writing files (text, CSV, JSON). Unlimited
- Introduction to NumPy for numerical operations. Unlimited
- Basics of Pandas for data manipulation and analysis. Unlimited
- Hands-on exercises: working with datasets. Unlimited
- Working with regular expressions for data extraction. Unlimited
- Automating tasks using Python scripts. Unlimited
- Introduction to web scraping with BeautifulSoup/Requests. Unlimited
- Hands-on exercises: automating file management, data fetching. Unlimited
- Introduction to OOP (Object-Oriented Programming). Unlimited
- Error handling and debugging. Unlimited
- Overview of Python libraries for Machine Learning (scikit-learn). Unlimited
- End-to-end solution on a real-world dataset (data cleaning, analysis, visualization). Unlimited