Students journey
Naveen
Python Programmer
Reference No: GR20231120PYT12
We are thrilled to announce the successful completion of our 65-days Python Programming course, held from November 27, 2023, to February 7, 2024. This intensive program provided participants with a comprehensive understanding of Python, covering essential topics such as data structures, algorithms, web development, and data analysis. Through hands-on projects and practical sessions, attendees gained valuable experience applying their knowledge to real-world scenarios. The primary objective of the course was to equip participants with the foundational skills necessary for a successful career in software development. We congratulate all participants on their dedication and achievements, and we are confident that the skills they have acquired will greatly enhance their career prospects in the tech industry.
Certification
Upon successful completion of our intensive 65-day Python Programming course, participants receive a certification recognizing their proficiency in Python, covering key concepts such as data structures, algorithms, web development, and data analysis. This certification validates their ability to apply Python programming to real-world problems, enhancing their professional credibility and employability. Graduates can showcase their expertise to potential employers, opening doors to opportunities in fields like web development, data science, and automation. Our dedicated placement assistance team supports participants in their job search, ensuring they are well-prepared for a successful career.
Course Overview
Our 65-days Python Programming course provides a comprehensive understanding of Python, covering topics such as data structures, algorithms, web development, and data analysis. Participants will use industry-standard tools like PyCharm, Jupyter Notebooks, and GitHub to develop coding skills and manage projects. The course includes hands-on projects for practical application of learned concepts, and we offer internship opportunities to gain industry experience. Our dedicated placement assistance team supports participants in their job search, providing resume building, interview preparation, and connections with potential employers to enhance their career prospects.
Projects
- Data Extraction: Learn to extract data from websites using libraries like BeautifulSoup and requests.
- Data Storage: Store the scraped data in a structured format such as CSV or a database.
- Automation: Automate the web scraping process to run at scheduled intervals.
- Data Collection: Gather data from sources such as CSV files or APIs.
- Visualization: Use libraries like Matplotlib or Seaborn to create visual representations of the data.
- Dashboard Integration: Integrate the visualizations into a simple dashboard using a web framework like Flask.
- User Input: Create a command-line or GUI application to input and categorize expenses.
- Data Management: Store and manage expense data using a local database such as SQLite.
- Reporting: Generate reports and visualizations to analyze spending patterns over time.
- Task Management: Develop a command-line interface to add, update, and delete tasks.
- Data Persistence: Store tasks in a file or database to maintain state between sessions.
- Features: Implement features such as task prioritization and due dates.