Essential Python Libraries for Data Visualization and Data Analysis
STTP Organised by MCA Department, LDRP Institute of Technology & Research
The MCA Department at LDRP Institute of Technology & Research is excited to announce a Short Term Training Program (STTP) on "Essential Python Libraries for Data Visualization and Data Analysis." This specialized program is designed to equip participants with critical skills in leveraging Python libraries for effective data handling and visualization. With the growing importance of data in various fields, this program aims to enhance the proficiency of students and teachers in using tools like Pandas, Matplotlib, and Seaborn to interpret and present data efficiently.
Participants will benefit from a comprehensive curriculum that covers the essential aspects of data visualization and analysis. The program will include hands-on sessions, real-world examples, and interactive discussions, enabling attendees to gain practical experience and deepen their understanding of these powerful Python libraries. By the end of the training, participants will have the confidence and skills to apply these tools in their academic and professional projects, making data-driven decisions with ease.
Limited seats are available, so interested students and teachers are encouraged to register early to secure their spot. Detailed schedules and specific session topics will be shared with registered members prior to the commencement of the program, ensuring a tailored and structured learning journey. This STTP represents a valuable opportunity for participants to advance their technical expertise in data analysis and visualization within an academic setting, fostering a deeper appreciation for the role of data in today's world.
Date and Time
Location
Hosts
Registration
- Start time: 04 Jul 2024 09:00 AM
- End time: 10 Jul 2024 03:00 PM
- All times are (UTC+05:30) Chennai
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- LDRP Institute of Technology & Research
- Near Kh5 Circle
- Gandhinagar, Gujarat
- India 382016
- Building: Shift 1
- Click here for Map
- Contact Event Host
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Contact
94264754479429162160
Media
IEEE STTP Event Report | 1.11 MiB |