Learning plan cover

become a data scientist

LEARNING PLAN

become a data scientist

This comprehensive plan bridges the gap between theoretical statistics and practical production-level engineering. It is ideal for aspiring data scientists and analysts looking to transition into high-impact roles by mastering the full lifecycle of data-driven decision making.

ByCommunity User
3 h 36 m
12 coursesUpdated 2 days ago
Python for EverybodyArt of StatisticsPython: The Language of Machine Intelligence12 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed's proprietary AI to help you learn become a data scientist with ease. It is curated from in-depth research on the topic and structured around the most effective learning journeys proven by BeFreed users.

Each episode delivers bite-sized, high-impact lessons distilled from world-class sources — bestselling books, research papers, and expert insights. Together, they form a sophisticated yet accessible path to mastering become a data scientist.

What You'll Learn

  • Master Python programming and statistical intuition for data analysis
  • Clean and manipulate raw datasets to extract actionable insights
  • Build and master core machine learning algorithms and techniques
  • Create compelling data visualizations and master data storytelling
  • Deploy models at scale and build automated production pipelines
  • Develop the professional skills needed for a data science career

Build the essential programming skills in Python and develop statistical intuition that forms the bedrock of all data science work.

Python for Everybody cover
Python for Everybody

Introduction to Python programming for all levels

8 m
Art of Statistics cover
Art of Statistics

Unravel the power of statistics to interpret data, make informed decisions, and understand life's complex problems.

9 m
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[url_feb993d2:c0002] github.com/h9-tec/AI-roadmap p1-1[url_32e27909:c0002] www.coursera.org/resources/ai-learning-roadmap p1-1[url_32e27909:c0003] www.coursera.org/resources/ai-learning-roadmap p1-1[url_308dc1c2:c0006] aiforsocialgood.ca/blog/beginners-guide-to-artificial-intelligence-syllabus-and-learning-path p1-1
18 sources
Python: The Language of Machine Intelligence

Moving beyond simple chat prompts requires a deeper grasp of code. Learn how Python’s syntax and APIs turn you from a consumer into a builder.

21 m

Master core machine learning techniques and learn to wrangle, clean, and analyze data to extract meaningful insights from raw datasets.

Hands-on Machine Learning With Scikit-learn And Tensorflow cover
Hands-on Machine Learning With Scikit-learn And Tensorflow

Step-by-step guide to machine learning with Python

8 m
Master Algorithm cover
Master Algorithm

An illuminating exploration of machine learning's potential to revolutionize our world through a unified, all-powerful algorithm.

10 m
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Make your own neural networkA Thousand BrainsArtificial IntelligenceThe emperor's new mind
20 sources
How Neural Networks Change Everything

Traditional coding relied on rigid rules, but neural networks learn from patterns. Discover how this shift from logic to data unlocks massive scale.

32 m

Learn sophisticated modeling techniques, create compelling visualizations, and communicate data-driven insights that influence business decisions.

Storytelling with Data cover
Storytelling with Data

Transform data into compelling visual stories that engage and inform your audience.

8 m
Predictive Analytics cover
Predictive Analytics

Uncover the fascinating world of data-driven predictions and their profound impact on business, society, and individual lives.

9 m
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Storytelling with DataHow to Measure AnythingVisual Thinking for Information DesignIt's Not the Size of the Data -- It's How You Use It: Smarter Marketing with Analytics and Dashboards
25 sources
Building better dashboards for faster decisions

Most data dashboards fail because of noise and bad design. Learn how to use tools like Tableau and Power BI to turn complex data into clear stories.

19 m

Deploy machine learning models at scale, build automated data pipelines, and position yourself for success in the evolving data science landscape.

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Artificial Intelligence and Generative AI for BeginnersArtificial Intelligence and Machine Learning for BusinessDesigning Data-Intensive ApplicationsHands-on Machine Learning With Scikit-learn And Tensorflow
24 sources
Data intelligence loops are replacing the data pipeline

Stop wasting time on manual data cleaning. Learn how to use MCP agents and SvelteKit to automate your workflow and scale from five analyses to fifteen.

28 m
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Hands-On Machine Learning with Scikit-Learn and TensorFlowAI 2041How to Speak MachineLife 3.0
24 sources
Find Your Perfect AI Pathway

Explore the major AI subfields—from machine learning and data science to NLP and computer vision—and discover which specialization aligns with your unique skills and interests.

37 m
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Storytelling with DataStories for WorkStories That StickUnleash the Power of Storytelling
24 sources
Business Intelligence Careers and the Art of Storytelling

Data alone doesn't change minds. Learn how to turn raw numbers into human stories that build trust and launch a successful career in BI.

27 m

Discover more

Data analysis

Data analysis

LEARNING PLAN

Data analysis

Data analysis skills are essential in today's data-driven economy, where organizations across all industries need professionals who can turn raw information into strategic insights. This learning plan is ideal for professionals looking to transition into data-focused roles, analysts wanting to strengthen their technical capabilities, or anyone who regularly works with data and wants to make more informed, evidence-based decisions in their career.

1 h 39 m4 Sections
Learn Data Science Fundame...

Learn Data Science Fundame...

LEARNING PLAN

Learn Data Science Fundame...

Data science has become essential across industries as organizations increasingly rely on data-driven decision making and AI-powered solutions. This comprehensive learning path is ideal for aspiring data scientists, analysts looking to upskill, software engineers transitioning into ML roles, and business professionals seeking to leverage data for strategic advantage.

1 h 54 m4 Sections
Getting better with statistics/data

Getting better with statistics/data

LEARNING PLAN

Getting better with statistics/data

Data literacy is a critical skill in the modern economy for making evidence-based decisions. This plan is ideal for professionals and students looking to transition from basic numeracy to advanced predictive analytics.

2 h 43 m4 Sections
I want to learn statistics, as a beginner

I want to learn statistics, as a beginner

LEARNING PLAN

I want to learn statistics, as a beginner

This plan provides a comprehensive path from basic numeracy to advanced predictive modeling. It is ideal for professionals and students who need to transform raw data into actionable insights using modern analytical tools.

2 h 48 m4 Sections
machine learning

machine learning

LEARNING PLAN

machine learning

This learning plan is essential for aspiring data scientists and engineers looking to master the full lifecycle of AI development. It bridges the gap between foundational theory and production-ready deployment, making it ideal for professionals transitioning into machine learning roles.

2 h 57 m4 Sections
Advance probability

Advance probability

LEARNING PLAN

Advance probability

This plan bridges the gap between basic chance and high-level statistical modeling. It is ideal for data scientists, analysts, and decision-makers looking to master uncertainty and predictive accuracy in professional environments.

2 h 25 m4 Sections
Pro Data Analyst & AI Workflow Engineer

Pro Data Analyst & AI Workflow Engineer

LEARNING PLAN

Pro Data Analyst & AI Workflow Engineer

This comprehensive path bridges the gap between traditional data analysis and modern AI automation. It is ideal for aspiring data professionals looking to master both predictive modeling and the engineering of autonomous AI workflows.

3 h 42 m4 Sections
Learn technical skills in data science, programming, build soft skills too

Learn technical skills in data science, programming, build soft skills too

LEARNING PLAN

Learn technical skills in data science, programming, build soft skills too

This comprehensive learning path bridges the technical-soft skills gap that many data professionals struggle with. Ideal for aspiring data scientists, analysts, and programmers who want to not only master the technical foundations but also develop the communication and leadership abilities that distinguish truly successful data professionals.

2 h 51 m4 Sections

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