Data Science with Python Skills you will learn

  • Python programming concepts
  • NumPy
  • Linear Algebra
  • Data wrangling
  • Data visualization

Who should learn this free Data Science with Python course?

  • Analytics Professionals
  • Software Professionals
  • IT Professionals
  • Data Scientist
  • Data Analyst

What you will learn in this free Data Science with Python course?

  • Introduction to Applied Data Science with Python

    • Introduction

      02:38
      • Introduction
        02:38

    • Lesson 1 : Introduction to Data Science

      07:53
      • Introduction to Data Science
        07:53

    • Lesson 2 : Basics of Python Programming

      17:55
      • Basics of Python Programming
        17:55

    • Lesson 3 : NumPy in Python

      12:52
      • NumPy in Python
        12:52

    • Lesson 4 : Linear Algebra in Data Science

      09:38
      • Linear Algebra in Data Science
        09:38

    • Lesson 5 : Statistics and Probability in Data Science

      13:39
      • Statistics and Probability in Data Science
        13:39

    • Lesson 6 : Pandas in Python

      11:00
      • Pandas in Python
        11:00

    • Lesson 7 : Data Analysis with Python

      10:35
      • Data Analysis with Python
        10:35

    • Lesson 8 : Data Wrangling in Python

      18:13
      • Data Wrangling in Python
        18:13

    • Lesson 9 : Data Visualization with Python

      13:42
      • Data Visualization with Python
        13:42

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn Data Science with Python?

46% of jobs

In the data science field require Python.

57.52% by 2028

Growth in demand for data science professionals.

About the Course

Throughout this free applied data science with Python course, you'll dive into the core concepts of Data Science. Beginning with Python basics, you'll learn how to analyze data effectively. You'll explore NumPy for numerical computations and Pandas for data manipulation. 

Statistical analysis and probability theory will help you derive insights from data. Additionally, you'll master data wrangling techniques to clean and prepare datasets. Lastly, you'll use Python for

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FAQs

  • Why is Python popular in data science?

    Python's popularity in data science stems from its simplicity, readability, and extensive ecosystem of libraries. It offers powerful tools like Pandas, NumPy, and Matplotlib, simplifying data manipulation, analysis, and visualization tasks.

  • Are there any prerequisites to enroll in this Data Science with Python course?

    No prerequisites are necessary. This applied data science with Python course is accessible to anyone interested in learning data science using Python. Basic familiarity with programming concepts may be helpful but is not required.

  • What topics can I expect to learn in a free Applied Data Science with Python course?

    This data science with Python course free covers a broad range of topics, including Python basics, data manipulation, exploratory data analysis (EDA), statistical analysis, machine learning algorithms, and data visualization techniques using popular Python libraries.

  • What is the free Applied Data Science with Python course duration?

    The free applied data science with Python course is two hours long and provides a concise yet comprehensive overview of applied data science concepts and techniques using Python.

  • Will I receive any certification upon completing this free Data Science with Python course?

    Upon successfully completing the free data science with Python course, you'll receive a Course Completion Certificate from SkillUp. This certification validates your knowledge and accomplishment in applied data science with Python.

  • How long will I have access to the course materials?

    You'll have unrestricted access to the free applied data science with Python course materials for 90 days, allowing you ample time to review the content, practice exercises, and reinforce your learning.

  • How long does it take to complete the course?

    While the data science with Python course free duration is 2 hours, the time to complete may vary based on individual learning pace and engagement with the material. It's designed to be flexible, accommodating learners of all levels.

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  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.