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Associate Data Scientist in Python

4.7+
18 reviews

Learn Python for data science and gain the career-building skills you need to succeed as a data scientist, from data manipulation to machine learning! In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Starting with the Python essentials for data science, you’ll work through interactive exercises that test your abilities. You’ll get hands-on with some of the most popular Python libraries for data science, including pandas, Seaborn, Matplotlib, scikit-learn, and many more. As you progress, you’ll work with real-world datasets to learn the statistical and machine learning techniques you need to perform hypothesis testing and build predictive models. You’ll also get an introduction to supervised learning with scikit-learn and apply your skills to various projects. Start this track, grow your data science skills, and begin your journey to confidently pass the Associate Data Scientist in Python certification and thrive as a data scientist.

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1
Python
Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist

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Data Scientist Certification available

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Instructors

  • Hugo Bowne-Anderson Headshot
    Hugo Bowne-AndersonData ScientistSee Hugo Bowne-Anderson's Portfolio
  • Jasmin Ludolf Headshot
  • Maggie Matsui Headshot
  • Richie Cotton Headshot

Don’t just take our word for it

*4.7
from 18 reviews
78%
17%
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  • Wilfrido O.
    7 months

    This career track has everything need for data science! I

  • Imre L.
    9 months

    OK.

  • Muhammad A.
    10 months

    I have taken the previous version of the course as well. I think that may be more alligned to theory, the newer version is more suitable for newbies. Overall, it's a good addition. However, the significane of the subject requires more and more practice on these topics so that a student can be master on these.

  • Luis R.
    24 days

    wonderful track for data science position

  • Taiye A.
    27 days

    Great learning experience

"This career track has everything need for data science! I"

Wilfrido O.

"OK."

Imre L.

"I have taken the previous version of the course as well. I think that may be more alligned to theory, the newer version is more suitable for newbies. Overall, it's a good addition. However, the significane of the subject requires more and more practice on these topics so that a student can be master on these."

Muhammad A.

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