Diploma in Using Python for Data Science
eDiploma Credit: 5 Points
Learn how to use your basic Python knowledge and turn it into a career in data science with this online course.
Do you have a sound knowledge of Python and would like to start a promising career in data science? With this online data science certification, you will learn how to apply Python concepts and compound data structures to data science through many different techniques. The content includes understanding numerical Python data analysis, statistics and probability, along with much more to set you on a path of data science success.
Course Curriculum
Data Science and Machine Learning
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Learning Outcomes00:00
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Who Is This Course For?00:00
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Data Science and Machine Learning Marketplace00:00
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Data Science Job Opportunities00:00
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Data Science Job Roles00:00
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What Is a Data Scientist?00:00
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How to Get a Data Science Job?00:00
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Data Science Projects Overview00:00
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Why We Use Python00:00
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What is Data Science?00:00
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What is Machine Learning?00:00
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Machine Learning Concepts and Algorithms00:00
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What is Deep Learning?00:00
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Machine Learning Versus Deep Learning00:00
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Lesson Summary00:00
Python for Data Science
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Learning Outcomes00:00
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Python Programming00:00
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Why Python for Data Science?00:00
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What is Jupyter?00:00
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What is Colab?00:00
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Getting Started with Colab00:00
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Python Variables, Booleans and None00:00
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Python Operators, Part I00:00
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Python Operators, Part II00:00
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Python Numbers and Booleans00:00
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Python Strings00:00
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Python Conditional Statements00:00
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Python For Loops and While Loops00:00
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Python Lists00:00
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More About Python Lists00:00
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Python Tuples00:00
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Python Dictionary00:00
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Python Sets00:00
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Compound Data Structures and When to Use Each One00:00
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Python Functions00:00
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Object Oriented Programming00:00
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Lesson Summary00:00
First course assessment
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Quiz
Statistics and Probability
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Lesson Summary00:00
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Introduction to Statistics00:00
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Descriptive Statistics00:00
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Measure of Variability, Part I00:00
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Measure of Variability, Part II00:00
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Measures of Variable Relationship00:00
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Inferential Statistics00:00
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Measures of Asymmetry00:00
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Sampling Distribution00:00
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What Exactly is Probability?00:00
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Expected Values00:00
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Relative Frequency00:00
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Hypothesis Testing Overview00:00
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NumPy Array Data Type00:00
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NumPy Arrays00:00
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Basics of NumPy Arrays00:00
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NumPy Array Slicing00:00
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Computation on NumPy Arrays00:00
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Broadcasting00:00
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Lesson Summary00:00
Data Analysis and Visualization
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Learning Outcomes00:00
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Pandas00:00
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Extract a Subset from DataFrame00:00
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Data Visualization, Part I00:00
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Data Visualization, Part II00:00
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Data Visualization in Python00:00
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Implementation in Python00:00
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Data Science Resume00:00
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Data Science Cover Letter00:00
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Contacting Recruiters00:00
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Freelancing00:00
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Top Freelance Websites00:00
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Personal Branding00:00
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Networking00:00
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Why You Need a Website00:00
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Lesson Summary00:00
Course assessment
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Final Quiz
Order certificate
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Order your certificate00:00