Mastering Data Science : A Comprehensive Learning Path

The Data Science Mastery Blueprint Roadmap

Ratings 4.46 / 5.00
Mastering Data Science : A Comprehensive Learning Path

What You Will Learn!

  • Proficiency in data analysis
  • Good knowledge of Data Visualisation techniques
  • Understanding of machine learning algorithms
  • Basics of Deep Learning, Computer Vision, Statistics and NLP
  • Model Deployment

Description

Where do I begin? Data science is such a huge field - where do you even start learning about Data Science?

These are career-defining questions often asked by data science aspirants. There are a million resources out there to refer but the learning journey can be quite exhausting if you don’t know where to start.

Don’t worry, we are here to help you take your first steps into the world of data science! Here’s the learning path for people who want to become a data scientist in 2022. We have arranged and compiled all the best resources in a structured manner so that you have a unified resource to become a successful data scientist.

Moreover, we have added the most in-demand skills for the year 2022 for data scientists including storytelling, model deployment, and much more along with exercises and assignments.


Key takeaways of this course

The course is ideal for beginners in the field of Data Science. Several features which make it exciting are:

  • Beginner friendly course: This is a beginner-friendly course and has no prerequisites.

  • Curated list of resources to follow: All the necessary topics are covered in the course, in an orderly manner with links to relevant resources and hackathons.

  • Updated skillset for 2022: The knowledge of Machine Learning models is important but that won’t set you apart. We have included some of the top unique skills you’ll require to become a data scientist in 2022.

  • Assignments to test yourself: What’s the best way to test your knowledge? Each module comes with assignments and MCQs to give your memory a boost.

Who Should Attend!

  • Any data science aspirants

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Tags

  • Data Science

Subscribers

71

Lectures

322

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