Learning plan cover

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.

ByCommunity User
2 h 51 m
12 coursesUpdated 5 hours ago
Python for EverybodyPython Crash Course, 3rd EditionAce Your Data Engineer Interview12 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed's proprietary AI to help you learn Learn technical skills in data science, programming, build soft skills too 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 Learn technical skills in data science, programming, build soft skills too.

What You'll Learn

  • Master Python programming fundamentals essential for data manipulation and analysis
  • Apply statistical methods to extract meaningful insights from complex datasets
  • Build and deploy machine learning models using industry-standard frameworks
  • Communicate technical findings effectively to technical and non-technical stakeholders
  • Develop leadership skills to successfully manage data science projects and teams

Build a solid foundation in programming languages essential for data science, focusing on Python syntax, data structures, and basic algorithms.

Python for Everybody cover
Python for Everybody

Introduction to Python programming for all levels

8 m
Python Crash Course, 3rd Edition cover
Python Crash Course, 3rd Edition

Comprehensive guide to learning Python programming.

9 m
podcast cover
System Design Interview – An Insider's GuideDesigning Data-Intensive ApplicationsSoftware EngineeringI Hate Job Interviews
21 sources
Ace Your Data Engineer Interview

Discover exactly what recruiters look for in junior data engineers, with practical insights on SQL, Python, and data pipeline fundamentals to help you prepare for your Wednesday interview.

35 m

Master the statistical concepts and analytical techniques that form the backbone of data science, from probability to data visualization.

Naked Statistics cover
Naked Statistics

A witty, accessible guide to statistics, using real-world examples to demystify complex concepts and make data analysis fun.

9 m
The Art of Statistics cover
The Art of Statistics

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

9 m
Storytelling with Data cover
Storytelling with Data

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

8 m

Dive deep into machine learning algorithms, neural networks, and practical implementations using industry-standard tools and frameworks.

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
The Master Algorithm cover
The Master Algorithm

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

10 m
podcast cover
Hands-On Machine Learning with Scikit-Learn and TensorFlowMake Your Own Neural NetworkPython CookbookPython Programming for Beginners
18 sources
Demystifying Machine Learning

Explore machine learning beyond the buzzword, from its surprising 1959 origins to modern applications. Learn how computers make decisions without explicit programming and why it's revolutionizing technology.

28 m

Develop the critical soft skills needed to communicate technical concepts, lead data teams, and advance your career in the data science field.

Communicate with Mastery cover
Communicate with Mastery

Master leadership communication with proven frameworks from Stanford's Graduate School of Business. Speak and write effectively to achieve your goals.

12 m
podcast cover
source 1source 2source 3source 4
6 sources
Master Communication as a Developer

Transform your career by mastering the communication skills that separate good developers from great ones. Learn practical techniques for explaining technical concepts, building influence, and advancing through clear, compelling communication.

20 m
podcast cover
Leadership Is LanguageCommunicate with MasteryMastering Communication at WorkSpeak Like a CEO
19 sources
Leadership Communication Mastery

Discover how to bridge the 30% gap between leader intent and employee perception through authentic communication skills that build trust, enhance clarity, and drive organizational success.

15 m

Discover more

Data science and soft skills

Data science and soft skills

LEARNING PLAN

Data science and soft skills

In today's data-driven world, technical expertise alone isn't enough to succeed in data science. This learning plan combines essential technical skills with crucial soft skills like communication and leadership, preparing professionals to not just analyze data but to drive organizational change through data-informed decisions.

2 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
Improve SQL/Python/AI skills

Improve SQL/Python/AI skills

LEARNING PLAN

Improve SQL/Python/AI skills

This comprehensive learning path takes you from data fundamentals to advanced AI, addressing the massive demand for professionals who can work across the full data-to-AI stack. It's ideal for software developers transitioning to data science, analysts looking to add ML capabilities, or anyone aiming to build production-ready AI systems in today's rapidly evolving tech landscape.

1 h 49 m4 Sections
Computer Science

Computer Science

LEARNING PLAN

Computer Science

This comprehensive computer science learning path is essential for anyone seeking to build a career in software development, data science, or technology leadership. It takes you from programming fundamentals through advanced topics like AI and distributed systems, providing the complete skillset needed to excel in today's tech industry. Whether you're starting from scratch or looking to formalize and deepen your existing knowledge, this structured approach ensures you master both theoretical foundations and practical engineering skills.

2 h 37 m4 Sections
Business & Data Analytics Hub

Business & Data Analytics Hub

LEARNING PLAN

Business & Data Analytics Hub

This comprehensive learning path is essential for professionals who want to leverage data as a strategic asset in today's data-driven business environment. It's ideal for business analysts, managers, consultants, and aspiring data professionals who need to bridge the gap between technical analytics and business decision-making. Whether you're looking to transition into analytics or enhance your existing analytical capabilities, this hub provides the complete skill set needed to drive measurable business impact.

3 h 2 m4 Sections
Master-level CS knowledge

Master-level CS knowledge

LEARNING PLAN

Master-level CS knowledge

This learning path provides the complete technical foundation expected of senior software engineers, technical leads, and CS researchers. It's ideal for software developers looking to advance their careers, those preparing for advanced roles at top tech companies, or anyone seeking to transition into specialized fields like machine learning or distributed systems. The curriculum bridges practical engineering skills with theoretical depth, preparing you for both industry leadership and research opportunities.

3 h 5 m4 Sections
Data base

Data base

LEARNING PLAN

Data base

Database expertise is essential for anyone building data-driven applications, from backend developers to data engineers and architects. This comprehensive learning path takes you from foundational SQL skills through advanced performance optimization to modern distributed systems, equipping you with the full spectrum of database knowledge needed in today's technology landscape. Whether you're starting your career or expanding into data-intensive systems, mastering databases unlocks the ability to build scalable, efficient applications that power modern software.

1 h 29 m4 Sections
Coding

Coding

LEARNING PLAN

Coding

Coding has become an essential skill in today's digital economy, opening doors to countless career opportunities and enabling you to bring your ideas to life. This learning plan provides a comprehensive pathway from programming basics to advanced software architecture, suitable for beginners seeking to become professional developers or professionals looking to enhance their technical capabilities.

2 h 29 m4 Sections

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