Free Session!

Oct 1, 08:30 (GMT +5:30)

Only Few Seats Left

About the session

Are you interested in a career in data science and want to know how Python can be your gateway to diverse job opportunities in this field? Join us for an engaging session where we'll explore the multifaceted role of Python in the world of data science and how it can open doors to exciting career paths in various domains.


  1. Introduction to Data Science and Python (15 minutes):
  2. Overview of data science as a field.
  3. Introduction to Python and its significance in data science.
  4. Python Libraries for Data Science (20 minutes):
  5. Deep dive into essential Python libraries for data analysis and machine learning, including NumPy, Pandas, Matplotlib, and Scikit-Learn.
  6. Demonstrations of how these libraries are used in real-world data science projects.
  7. Python for Data Cleaning and Exploration (15 minutes):
  8. Understanding the role of Python in data cleaning and preprocessing.
  9. Hands-on examples of data exploration techniques using Python.
  10. Machine Learning with Python (20 minutes):
  11. Overview of machine learning and Python's role in building predictive models.
  12. Showcase of machine learning algorithms implemented in Python.
  13. Python in Specific Data Science Domains (15 minutes):
  14. Explore how Python is used in different data science domains, such as healthcare, finance, marketing, and more.
  15. Real-world case studies and success stories.
  16. Career Paths in Data Science (10 minutes):
  17. Discussion of diverse career opportunities in data science.
  18. Tips for building a successful career in the field.
  19. Q&A and Networking (25 minutes):
  20. Open the floor for questions and answers.
  21. Provide opportunities for participants to connect with the speaker and fellow attendees.
  22. Closing Remarks and Next Steps (5 minutes):
  23. Recap key takeaways from the session.
  24. Offer resources for further learning and career development.

Join us for this informative session and discover how Python can empower you to pursue a fulfilling career in data science across various industries and domains.

Additional Benefits

Live Q&A

Exciting Quiz sessions

Recording of the entire Session

Exclusive Discount on all our 1:1 mentorship programs

Spread the Word

Share on LinkedIn

Join Whatsapp Community

About the mentor:

Akhil Vydyula
Akhil Vydyula
PwC Logo


Senior Associate

4+ years of experience,

worked at

GirlScript Foundation Logo
Atos Logo
"Throughout my career, I have consistently embraced challenges as opportunities for growth. I've ventured into the ever-evolving landscape of data and analytics, where I've honed my skills in data analysis, modeling, and the application of advanced algorithms. As I look ahead, my goal is to continue pushing the boundaries of what's possible in the realm of data-driven decision-making. I see myself not only as a practitioner but also as a mentor, guiding others on their own data science journeys. My passion lies in not just understanding data but also in translating its insights into actionable strategies that drive success for organizations. I envision a future where I lead cross-functional teams, working on cutting-edge projects that harness the power of data to solve complex problems. I'm excited about the potential for artificial intelligence and machine learning to revolutionize industries, and I want to be at the forefront of those innovations. Moreover, I aspire to contribute to the field by sharing knowledge through publications, talks, and educational initiatives. I believe in the democratization of data science and aim to make this field more accessible to everyone. In the long term, I see myself as a driving force in the data and analytics community, shaping the future of data-driven decision-making and helping organizations thrive in an increasingly data-centric world. My journey is not just about my own growth but also about empowering others to unlock the immense potential of data. Together, we can create a brighter and more data-driven future."

Skills & Expertise


Machine Learning


Natural Language Processing (NLP)

Artificial Intelligence

1:1 sessions

4 session(s)/week


Almost Immediately

Tasks & Followup


Job referrals

& more


/ month

View Profile