Hello everyone,
What is the best roadmap for aspiring data scientists to follow in order to succeed in the cloud era, especially with tools and services available on Google Cloud?"
Thsnks
Solved! Go to Solution.
Hi @viruchoudhary,
Welcome to Google Cloud Community!
It's great you're diving into data science with the help of Google Cloud. To get started you may focus on mastering Python and SQL, as they are the cornerstones of data science in the Cloud. Dive into Google Cloud Platform's data processing and machine learning capabilities, particularly BigQuery, Cloud AI Platform, and Cloud Dataflow. Gain hands-on experience through Qwiklabs and personal projects, and consider pursuing Google Cloud certifications to validate your expertise. Remember, continuous learning and strong problem-solving skills are essential for success in this dynamic field.
For tools and resources you may check the following documentation if you want to learn and dig deeper:
I hope this helps.
Hi @viruchoudhary,
Welcome to Google Cloud Community!
It's great you're diving into data science with the help of Google Cloud. To get started you may focus on mastering Python and SQL, as they are the cornerstones of data science in the Cloud. Dive into Google Cloud Platform's data processing and machine learning capabilities, particularly BigQuery, Cloud AI Platform, and Cloud Dataflow. Gain hands-on experience through Qwiklabs and personal projects, and consider pursuing Google Cloud certifications to validate your expertise. Remember, continuous learning and strong problem-solving skills are essential for success in this dynamic field.
For tools and resources you may check the following documentation if you want to learn and dig deeper:
I hope this helps.
Hi NorieRam
Thank you so much for taking the time to provide such a detailed and insightful response to my query! I truly appreciate your guidance and the wealth of resources you've shared.
Your advice on focusing on Python, SQL, and exploring key Google Cloud services like BigQuery, Cloud AI Platform, and Cloud Dataflow is incredibly helpful. I’ll definitely dive into these tools and start building hands-on experience with Qwiklabs and personal projects, as you suggested.
The documentation links and GitHub repositories you mentioned will be invaluable as I dig deeper into Google Cloud's capabilities. Also, your encouragement about continuous learning and problem-solving resonates with me—I'll make sure to keep that in mind throughout my journey.
Thank you again for your support and encouragement! It means a lot to me to have such helpful guidance as I explore the field of data science with Google Cloud. 😊
Best regards,
Virendra choudhary