Python for Data Analysis Skills you will learn

  • Pandas
  • NumPy
  • Data Visualization
  • Data Cleaning Techniques
  • File Handling

Who should learn this free Python for Data Analysis course?

  • Data Scientists
  • Data Analysts
  • Operations Analysts
  • Research Analysts
  • Business Analysts

What you will learn in this free Python for Data Analysis course?

  • Python for Data Analysis

    • Introduction

      00:41
      • Introduction
        00:41

    • Lesson 1: What is Data Analytics?

      15:55
      • What is Data Analytics?
        15:55

    • Lesson 2: NumPy in Data Analytics

      43:51
      • NumPy in Data Analytics
        43:51

    • Lesson 3: Pandas in Data Analytics

      25:40
      • Pandas in Data Analytics
        25:40

    • Lesson 4: Financial Analysis using Python

      44:38
      • Financial Analysis using Python
        44:38

Get a Completion Certificate

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

Why you should learn Python for Data Analysis?

$303.4 Billion.

Expected size of global Data Analytics market by 2030.

$123K+ (USA) | INR 14 LPA

Average Salary of a Data Scientist annually.

About the Course

This course provides a beginner-friendly introduction to Python for data analysis. Learn to work with libraries like Pandas, NumPy, and Matplotlib to clean, manipulate, and visualize data. Explore techniques for performing exploratory data analysis (EDA) and uncovering insights. Designed for aspiring data analysts and professionals, this course equips you with essential skills for making data-driven decisions.

Topics Covered:

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FAQs

  • What is the Introduction to Python for Data Analysis course about?

    This course teaches you to use Python libraries like Pandas, NumPy, and Matplotlib for data cleaning, manipulation, visualization, and analysis.

  • Who should take this course?

    It’s ideal for aspiring Data Analysts, Business Analysts, or anyone interested in learning data analysis with Python.

  • Do I need prior programming knowledge to take this course?

    Basic programming knowledge is helpful but not mandatory, as the course introduces Python fundamentals for beginners.

  • What topics are covered in this introduction to Python for data analysis course?

    Topics include data manipulation with Pandas, numerical computations with NumPy, data visualization with Matplotlib and Seaborn, EDA, and data cleaning techniques.

  • Does the course include hands-on projects?

    Yes, the course includes practical exercises and projects that let you apply your knowledge to real-world datasets.

  • How long does it take to complete the introduction to Python for data analysis course?

    This course on learning Python for data analysis is 3 hours long.

  • What are the benefits of completing this course?

    You’ll gain practical data analysis skills, improve decision-making capabilities, and prepare for roles like Data Analyst or Business Analyst.

  • What tools and libraries will I learn?

    You’ll learn to use Python libraries like Pandas, NumPy, Matplotlib, and Seaborn, and work with data formats like CSV, Excel, and JSON.

  • What career opportunities does this Python for data analysis course open up?

    This course prepares you for roles such as Data Analyst, Junior Data Scientist, Business Analyst, or Research Analyst.

  • Will I receive a certificate upon completion?

    Yes, you’ll earn a certificate to validate your skills and showcase your expertise in Python for data analysis.

Related Courses

  • 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.