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FREE Data Science Webinar

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FREE Data Science Webinar

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πŸŽ“ Free Webinar: Kickstart Your Career in Data Science - Path, Skills & Salary Insights
Duration: 60 minutes
Audience: Aspiring Data Scientists, Working Professionals, Career Switchers, Students, college pass-out
βœ… Webinar Agenda
πŸ” What is Data Science?
πŸš€ How Can Data Science Drive Business Growth?
πŸ‘£ Career Path in Data Science

  • Entry-level roles: Data Analyst, Junior Data Scientist
  • Growth roles: Senior Data Scientist, ML Engineer, Data Science Manager
  • Opportunities in specialized areas: NLP, Computer Vision, Generative AI

πŸ’° How Much Can You Earn as a Data Scientist?

  • Salary insights (India & Global)
  • Freelance vs Full-time job income potential
  • High-paying industries and locations

πŸ› οΈ What are the Main Tools and Technologies in Data Science?

  • Python, SQL, Pandas, Scikit-learn, TensorFlow, Power BI, etc.
  • Introduction to cloud tools (AWS, GCP, Azure for Data Science)
  • Must-learn libraries and platforms

🧭 Why Do You Need a Structured Learning Path for Data Science?

  • Common mistakes self-learners make
  • The importance of mentorship and real-world projects
  • Certification vs. practical skills: What matters more?

πŸ‘¨β€πŸ’» Roles and Responsibilities of a Data Scientist

  • Day-to-day work routine
  • Collaborating with cross-functional teams
  • Tools used in different phases: data collection, cleaning, modeling, deployment

πŸ“Œ Live Q&A + Interview Questions for Data Science Jobs

  • Real questions asked in Data Science interviews
  • How to answer project-based and scenario-based questions
  • Tips to crack job interviews and stand out

🎯 Excel in Your Career as a Data Scientist
About the Data Science Course
Unique features: live projects, mentoring, placement support
Learn...How we help you go from zero to job-ready ?
Enroll:[ https://www.theagileforum.com/data-science-free-webinar](https://www.theagileforum.com/data-science-free-webinar)

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Every 2nd Saturday of the month until January 31, 2027

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