This course is designed for beginners and professionals looking to enhance their data analysis, visualization, and database management skills.
It is suitable for Students aiming to build a career in data analytics; Professionals wanting to transition into data-related roles; Researchers who need data analysis skills for their work.
No prior programming experience is required. The course covers the basics of Python, R, and SQL before moving to more advanced topics.
The course runs for 3 months with 12 weekly modules.
You will gain hands-on experience with:
Python: Matplotlib, Seaborn, Pandas, Plotly, etc.
R: ggplot2, dplyr, tidyr, and Shiny.
SQL: Writing queries, database management, and integrating with Python and R.
Yes, the course is fully online. Sessions will be live & pre-recorded, and interactive elements like quizzes, forums, and mentorship will be included.
Yes, there are weekly exercises, and the program concludes with a Capstone Project to showcase your learning.
Yes, participants who successfully complete the course and the Capstone Project will receive a certificate of completion.
Live Q&A Sessions: Regularly scheduled to address questions.
Mentorship: One-on-one mentorship for project guidance.
Community Forums: Collaborate and learn with peers.
Absolutely. The course equips you with technical skills in Python, R, SQL, and data visualisation, laying a strong foundation for roles in data analytics and business intelligence.
All sessions are recorded, so you can revisit them at any time. Additionally, instructors and mentors will assist in catching up.
The course fee includes access to all materials, but participants may need to download free/open-source software or tools like Python and R libraries.
Visit the course website or contact the admissions team to complete the registration process.
Features
- Hands-On Exercises and Real-World Applications
- Integration of Python, R, and SQL for Data Analytics Mastery
- Comprehensive Capstone Project to Showcase Acquired Skills