Course Highlights
Welcome to Quick Data Science Approach from Scratch—a compelling journey through the essential frameworks of modern Data Science. This course is meticulously designed to introduce learners to foundational concepts and develop core competencies, beginning with a comprehensive explanation of what Data Science truly entails and why it has become indispensable in today’s world. You will uncover the hidden demand for data-driven insights and demystify the career myths that often confuse aspiring analysts.
As you dive deeper, the course unfolds the most frequent errors made by Data Science newcomers, helping you sidestep these roadblocks with ease. You will explore various data types and variable classifications, learn the secrets of descriptive analysis, and unlock robust strategies for data cleaning and transformation. Through feature engineering and algorithmic thinking, this training ensures you’re not just consuming data—you’re interpreting it meaningfully. With each topic, your understanding of Data Science sharpens into a refined skill set, enabling more strategic decisions and deeper insights.
In the final stretch, the course helps you build the often-overlooked yet crucial skill of data thinking—seeing problems with analytical clarity and defining them effectively. You’ll experiment with predictive techniques and hands-on learning methods to cement your grasp on the subject. Whether you’re aiming for a technical role or seeking to embed Data Science in your business workflow, this course equips you with the precision tools to thrive. Start from scratch—leave with expert-level insight.
Learning outcome
- - Understand the true scope and importance of Data Science
- - Recognize and avoid critical errors beginners often make
- - Identify and interpret data types and variable roles
- - Apply descriptive techniques to summarize datasets
- - Execute effective data cleaning processes
- - Develop analytical thinking for defining predictive problems
Why should I take this course?
- - Gain real-world Data Science insight from a beginner’s viewpoint
- - Learn what myths to ignore and truths to embrace in the field
- - Build a skill set that merges logic with algorithmic precision
- - Transform raw data into meaningful predictions
- - Step confidently into a career with proven problem-solving strategies
Requirements
- - Eagerness to learn Data Science from the ground level
- - Basic familiarity with technology and logical reasoning
- - Open-minded approach to redefining analytical thinking
Career Path
- - Junior Data Scientist
- - Business Intelligence Analyst
- - Data Quality Engineer
- - Quantitative Analyst
- - Predictive Modeling Specialist
- - Data Strategy Consultant
Course Curriculum
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Introduction
00:02:00
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Data Science Explanation
00:05:00
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Need of Data Science
00:02:00
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8 Common mistakes by Aspiring Data Scientists/Data Science Enthusiasts
00:08:00
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Myths about Data Science
00:03:00
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Data Types and Variables
00:04:00
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Descriptive Analysis
00:02:00
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Data Cleaning
00:02:00
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Feature Engineering
00:02:00
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Data Thinking Development
00:03:00
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Problem Definition
00:05:00
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Algorithms
00:14:00
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Prediction
00:03:00
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Learning Methods
00:05:00
Offer Ends in

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Duration:60 minutes
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Access:1 Year
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Units:14

