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Launch your career in data science

Professional Certificate in
Python Data Science
IBM

What you will learn

  • Understand Python language basics and how they apply to data science.
  • Practice iterative data science using Jupyter notebooks on IBM Cloud.
  • Analyze data using Python libraries like pandas and numpy.
  • Create stunning data visualizations with matplotlib, folium, and seaborn.
  • Build machine learning models using scipy and scikitlearn.
  • Demonstrate proficiency in solving real life data science problems.

Data is at the heart of our digital economy and data science has been ranked as the hottest profession of the 21st century. Whether you are new to the job market or already in the workforce and looking to upskill yourself, this five course Data Science with Python Professional Certificate program is aimed at preparing you for a career in data science and machine learning. No prior computer programming experience required!

You will start by learning Python, the most popular language for data science. You will then develop skills for data analysis and data visualization and also get a practical introduction in machine learning. Finally, you will apply and demonstrate your knowledge of data science and machine learning with a capstone project involving a real life business problem.

This program is taught by experts and focused on hands-on learning and job readiness. As such you will work with real datasets and will be given no-charge access to tools like Jupyter notebooks in the IBM Cloud. You will utilize popular Python toolkits and libraries such as pandas, numpy, matplotlib, seaborn, folium, scipy, scikitlearn, and more.

Start developing data and analytical skills today and launch your career in data science!

Expert instruction
6 skill-building courses
Self-paced
Progress at your own speed
7 months
3 - 5 hours per week
Discounted price: $516.60
Pre-discounted price: $574USD
For the full program experience

Courses in this program

  1. IBM's Python Data Science Professional Certificate

  2. 2–5 hours per week, for 5 weeks

    This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

  3. 4–5 hours per week, for 1 weeks

    This mini-course is intended for you to demonstrate foundational Python skills for working with data.

  4. 2–4 hours per week, for 5 weeks

    In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

  5. 2–4 hours per week, for 5 weeks

    Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

  6. 4–6 hours per week, for 5 weeks

    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

  7. 3–4 hours per week, for 6 weeks

    Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.

    • Over 2.5 million jobs in data science and related professions (Burning Glass)
    • Python most popular language for data science (KDnuggets)
    • Data Science and Analytics professionals have average starting salary of over $80,000 in the US.

Meet your instructors
from IBM

Saishruthi Swaminathan
Data Scientist and Developer Advocate
IBM
Azim Hirjani
Cognitive Data Scientist
IBM
Saeed Aghabozorgi
PhD, Sr. Data Scientist
IBM
Joseph Santarcangelo
PhD., Data Scientist
IBM
Alex Aklson
Ph.D., Data Scientist
IBM
Yan Luo
Ph.D., Data Scientist and Developer
IBM

Experts from IBM committed to teaching online learning

Enrolling Now

Discounted price: $516.60
Pre-discounted price: $574USD
6 courses in 7 months
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Propelling

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Convenient

Study and demonstrate knowledge on your schedule

Flexible

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Supportive

Learn with university partners and peers from around the world