Data Analytics vs. Data Science: Which Career is Right for You?

Data analytics and data science — they sound similar, but they’re actually two distinct career paths. In this video, we break down exactly what sets them apart, what skills and tools each role requires, and how to choose the path that fits your goals and interests.

Here’s what we cover:

1️⃣ What is data analytics? – Turning past data into actionable business insights

2️⃣ What is data science? – Predicting future trends and building data-driven systems

3️⃣ Key differences in practice – Real-world examples to see how each role works

4️⃣ Tools, skills, and job requirements – What you’ll need to succeed in each field

5️⃣ Which career is right for you? – Guidance based on your interests, goals, and skillset

6️⃣ How to start your data career – Learning paths and resources to get job-ready

Whether you’re drawn to analyzing trends or building predictive models, this video will help you decide which role is right for you — and how to get started.

00:00 Data Science vs Data Analytics - What's the difference?
00:22 Understanding Data Analytics
00:44 Tools and Techniques in Data Analytics
00:58 Business Focus of Data Analytics
01:06 Introduction to Data Science
01:26 Predictive Nature of Data Science
01:31 Data Science in Action
01:40 Technical Aspects of Data Science
01:58 Comparing Data Analytics and Data Science
02:12 Real-World Applications: Dating App Example
02:29 Data Analyst's Approach
02:56 Data Scientist's Approach
03:35 Becoming a Data Analyst or Data Scientist
03:42 Key Skills for Data Analysts
03:58 Key Skills for Data Scientists
04:12 Tools for Data Analysts
04:26 Tools for Data Scientists
04:41 Mindset Differences
05:03 Choosing Between Data Science and Data Analytics
06:17 Learning Pathways and Career Tips

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