Data Science Curriculum + Planner Bundle

PROMO PRICE: $29.99 for LIMITED TIME ONLY Full price $40 + Save $9.99 with Monthly Data Science Planner

Are you looking to kickstart your career in data but don't know where to start?

Whether you're looking to become a:

• Data Scientist
• Data Analyst
• Machine learning engineer

This learning curriculum will become your guide that will lead you towards your new victories.

The curriculum consists of a 12-month calendar in which you follow a certain learning plan in data science. There are 9 months of consistent learning and 3 extras. Here's how it looks like:

• Month 1: Python
• Month 2: Math
• Month 3: Probability and data visualization in Python
• Month 4: Exploratory Data Analysis
• Month 5: Feature Engineering and Machine Learning
• Month 6: Deep Learning Basics
• Month 7: Deep Dive into Deep Learning
• Month 8: SQL Learning Plan
• Month 9: Git & GitHub

Extras are additional skills you can learn to reinforce your career position and stand out from the competition:

• Month 10: MLOps for data scientists and machine learning engineers
• Month 11: Big Data Analytics for data scientists and data analysts
• Month 12: Generative AI and automated data science

Extras 2:

• This template is equipped with a global Kanban board which you can use to delegate your learning tasks (same as with Data Science Planner)
• Each month is equipped with a dedicated habit tracker, notes and a todo list (same as the Monthly Data Science Planner)

That's not all!

With this bundle, you'll also get access to the Monthly Data Science Planner ($9.99) FREE OF CHARGE. Each monthly planner is equipped with:

• Monthly Calendar
• Monthly habit tracker
• To-do list
• Global Kanban Zone
• Monthly checklists
• Daily Journal

How to access it?

This is a Notion template very similar to the original Monthly Data Science Planner. All you need is an account to duplicate this template in your workspace. You don't need to pay for Notion to access this template.\

Note: Because of the downloadable nature of the product. Refunds aren't possible.