Introduction To Big Data, Data Engineering, And Data Science
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 47m | Size: 1.14 GB
What you'll learn
Understand the core concepts of data, big data, and modern data ecosystems
Distinguish between key data roles: data engineer, data architect, data analyst, data scientist, and AI practitioner
Recognize how different data disciplines connect and support each other in real-world workflows
Identify the daily tasks, responsibilities, and skill sets required in each data career path
Learn the fundamentals of ETL, data pipelines, data quality, and cloud-based data platforms
Understand the purpose of business intelligence, dashboards, and data storytelling
Explore the foundations of machine learning, data mining, and natural language processing
Gain clarity on how AI relates to data science and what skills lead to AI careers
Assess your own strengths and interests to choose the data career path that fits you
Build a personalized roadmap for starting or transitioning into a data-focused career
Requirements
No requirements or preprerequisites
Description
As organizations race to become more data‑driven, the demand for skilled professionals who understand this landscape has never been higher. Yet for many beginners, the field can feel overwhelming. With so many roles, technologies, and buzzwords, it's difficult to know where to start or which path truly aligns with your strengths.
This course was created to remove that confusion and give you a clear, structured understanding of the entire data ecosystem. Instead of diving straight into coding or tools, you'll first learn the foundational concepts that every aspiring data professional needs.
You will explore the major disciplines in the field of data, including Data Engineering, Data Architecture, Business Intelligence, Data Science, Machine Learning, and AI- and you will understand how they connect, how they differ, and what real‑world work in each area looks like.
Through simple explanations, intuitive examples, and practical scenarios, you'll gain a big‑picture view of how data flows through an organization and how different teams contribute to turning raw information into insights and intelligent systems.
You'll also understand what skills, mindsets, and talents are required to succeed in each role. This will help you identify the path that best matches your interests and natural strengths.
By the end, you will not only understand the data landscape, you will also know exactly where you fit within it and how to take your first steps toward a rewarding career in this fast‑growing field.
Who this course is for
Young professionals, including career changers
University students or recent high school graduates who are exploring their career options
Managers or executives who want to lead data teams confidently
Other independent learners or enthusiasts
Disclaimer: according to Udemy's policy, learners under 18 may use the course only if their learning is supervised by a parent or guardian.
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