
What weβre about
Welcome to CLOUD Enthusiasts Meetup, where like-minded individuals gather to explore all things related to cloud computing and infrastructure optimization on AWS, GCP and Azure. This group is perfect for SREs, software developers, and DevOps enthusiasts who want to share ideas, stay updated on industry trends, and network with others in the field. Whether you're a seasoned expert or just starting out, join us for informative discussions with industry experts and networking. Connect with us and elevate your passion for all things cloud-related!
π
Donβt forget to join our free events where we discuss all things Agile, share insights, and collaborate on real-world challenges. Be sure to join our Agile Group for ongoing discussions and networking!
π Join our Group on WhatsApp for discussions: Agile Group
Letβs grow together! π
Upcoming events
77
β’OnlineFREE Data Science Webinar
Onlineπ 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
β Webinar Agenda
π What is Data Science?
π How Can Data Science Drive Business Growth?
π£ 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
π° 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
π 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
π§ 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?
π¨βπ» 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
π 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
π― 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)1 attendee
β’OnlineFREE Data Science Webinar
Onlineπ 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
β Webinar Agenda
π What is Data Science?
π How Can Data Science Drive Business Growth?
π£ 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
π° 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
π 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
π§ 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?
π¨βπ» 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
π 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
π― 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)1 attendee
β’OnlineFREE Data Science Webinar
Onlineπ 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
β Webinar Agenda
π What is Data Science?
π How Can Data Science Drive Business Growth?
π£ 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
π° 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
π 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
π§ 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?
π¨βπ» 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
π 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
π― 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)1 attendee
β’OnlineFREE Data Science Webinar
Onlineπ 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
β Webinar Agenda
π What is Data Science?
π How Can Data Science Drive Business Growth?
π£ 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
π° 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
π 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
π§ 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?
π¨βπ» 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
π 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
π― 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)2 attendees
Past events
32
