365 Data Science

365 Data Science

365 Data Science is an online learning platform that offers courses and career tracks focused on data science, machine learning, AI, data analytics, and related fields. Their goal is to make quality education accessible and help learners develop in-demand job skills.
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machine-learning data-analytics online-courses

365 Data Science: Online Learning Platform for Data Science

Learn data science, machine learning, AI, data analytics and related fields with 365 Data Science online courses and career tracks, making quality education accessible and in-demand job skills attainable.

What is 365 Data Science?

365 Data Science is an online learning platform created in 2015 that focuses on providing courses, tutorials, training, and resources related to data science, machine learning, artificial intelligence, data analytics, and other related technical skills.

They offer beginner to advanced video courses and career tracks in areas like data analyst, data engineer, data scientist, machine learning engineer, AI engineer, and more. Their content and instructors aim to break down complex topics into understandable lessons to help learners master in-demand data skills.

365 Data Science tries to make quality education more affordable and accessible to more people. Their platform allows self-paced learning from experts in the field. Learners can enroll in topics a la carte or full career tracks. Course formats include video lectures, hands-on exercises, project work, coding challenges, quizzes, assessments, community support, and career coaching.

The platform has served over 500,000 learners in over 170 countries. It has grown quickly by focusing on relevant, practical training for high-growth tech careers. 365 Data Science aims to continue helping launch and advance data careers for its learners around the world.

365 Data Science Features

Features

  1. Online courses in data science, machine learning, AI, data analytics
  2. Career tracks for beginner, intermediate, advanced learners
  3. Hands-on exercises and coding challenges
  4. Access to datasets, code templates, cheat sheets
  5. 1-on-1 mentorship and technical support
  6. Certificates of completion for finished courses
  7. Flexible, self-paced learning

Pricing

  • Subscription-Based

Pros

Well-structured curriculum and learning paths

Engaging, hands-on learning experience

Knowledgeable instructors and mentors

Active community support forums

Affordable compared to bootcamps or degrees

Self-paced model fits busy schedules

Cons

Less personalized than in-person programs

Limited job/career assistance after finishing courses

Less rigorous than university programs

Not ideal for total beginners

Certificate may not carry much weight on resume


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