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Data Science Handbook

Explore data science fundamentals, including generative AI, time series, and business analytics. Gain insights into practical applications using Python libraries like pandas, seaborn, scikit-learn, and TensorFlow.

Beginner

14 Lessons

2h 30min

Certificate of Completion

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Explanations

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Explanations

This course includes

21 Playgrounds

Course Overview

What You'll Learn

Course Content

Recommendations

Course Overview

Data science extracts meaningful insights from the data for data-driven decision-making. This course is designed to provide an insight into the fascinating world of data science, whether you are a beginner or want to move your career forward in data science. We start the course by covering the fundamentals of data science and the usage of data science in big tech industries and real-world applications. We discuss its specialized applications in generative AI, time series analysis, business analytics, and ...Show More

What You'll Learn

An understanding of the fundamentals of data science for data-driven decision-making

Working knowledge of practical applications of data science in industries and daily lives

Knowledge of career paths in data science for today’s world

Familiarity with some famous technologies and tools used in data science

A mastery of how the data science pipeline works with some hands-on experience

An understanding of the fundamentals of data science for data-driven decision-making

Course Content

Introduction to Data Science

3 Lessons

Get familiar with data science fundamentals, industry applications, and its evolving role.

About This Course

What Is Data Science?

Industries Benefiting from Data Science

Fundamentals of Data Science

3 Lessons

Unpack the core of data science pillars, distinctions from machine learning, and essential tools.

Pillars of Data Science

Data Science vs. Machine Learning

Tools and Technologies

Applications and Careers in Data Science

3 Lessons

Work your way through data science applications, roles, and specialized topics.

Real-World Applications

Specialized Topics

Roles in Data Science

Mastering Data Science

5 Lessons

Find out about visualizing, processing, modeling, and presenting data for effective analysis.

Data Visualization

Data Processing

Modeling and Analysis

Presentation of Results

Conclusion

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