Skills you will learn

  • Best Python libraries
  • NumPy
  • Pandas
  • Matplotlib
  • Scikitlearn
  • Beautiful Soup
  • TensorFlow

Who should learn

  • Aspiring data scientists
  • Software engineers
  • Web developers
  • AIML enthusiasts
  • Data analysts

What you will learn

  • Python Libraries for Data Science

    • Introduction

      01:28
      • Introduction Python Libraries
        01:28
    • Lesson 01: Top 5 Python Libraries for Data Science

      15:37
      • Top 5 Python Libraries for Data Science
        15:37
    • Lesson 02: NumPy

      01:22:38
      • NumPy
        01:22:38
    • Lesson 03: Pandas

      52:26
      • Pandas
        52:26
    • Lesson 04: Matplotlib

      01:38:44
      • Matplotlib
        01:38:44
    • Lesson 05: Scikit-Learn

      43:44
      • Scikit-Learn
        43:44
    • Lesson 06: TensorFlow

      01:26:07
      • TensorFlow
        01:26:07

Get a Completion Certificate

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

Free Course to Learn Python libraries

Why you should learn

Top skill for 46%

Of job roles in Data Science

$96K

Average salary of a Data Scientist
 

FAQs

  • What are the prerequisites to learn Python libraries for Data Science?

    There are no prerequisites to learn Python libraries for Data Science. However, it is recommended that learners have a basic understanding of mathematics, statistics, and data science.

  • How do beginners get started with Python libraries for Data Science free course?

    Beginners who want to learn Python libraries can start with the fundamentals first. Once you have mastered the basics you can move on to the advanced topics.

  • How long does it take to learn Python libraries?

    The Python libraries free course consists of 7 hours of video content that will help you gain a thorough understanding.

  • Are Python libraries easy to learn?

    The videos that you find as a part of the Python libraries for Data Science free course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn.

  • Can I complete this Python libraries course in 90 days?

    Yes, you can complete this Python libraries course within 90 days.

  • Will I get a certificate after completing the Python libraries for data science free course?

    Yes, You will receive a Course Completion Certificate from SkillUp upon completing the Python libraries for Data Science free program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.

  • What are my next best learning options after completing this free Python libraries course?

    After completing this free Python libraries course, you can opt for the Data Science with Python Certification course provided by Simplilearn.

  • What are the career opportunities after the Python libraries for data science?

    Common careers after this course include:

    • Data Scientist
    • Data Analyst
    • ML Engineer
    • NLP Scientist

  • What is a Python Libraries free course all about?

    The Python Libraries free course is all about developing the understanding of beginners on how to perform numerical computation, data analysis and data visualization using NumPy, Pandas, and Matplotlib libraries, scikit-learn for model building, Beautiful Soup for web scraping, and TensorFlow. 

  • Why learn Python Libraries for Data Science?

    To handle various Data Science tasks that involve predicting outcomes, automating tasks, streamlining processes, and offering business solutions, you would need to learn Python Libraries for Data Science. 

  • What are essential steps to learn Python Libraries?

    The steps to learning Python Libraries are:

    • Become thorough with Python programming basics
    • Join a community of Python programmers to expand your knowledge.
    • Practice building small Python projects
    • Enroll with a free course like the Python libraries for Data Science to get better clarity.

  • What are the top skills for a career in Data Science?

    You need two types of skills (technical and non-technical) to become a Data Scientist:

    • Statistical analysis and computing
    • Data Mining
    • Processing large data sets
    • Mathematics
    • Programming
    • Statistics

    Non-technical skills include good business acumen, communication and data intuition.

  • What are the career opportunities in Data Science?

    The career opportunities in Data Science are:

    • Data Scientists
    • Data Analysts
    • Machine Learning Engineers
    • Data Architects

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