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Alex Aklson, Joseph Santarcangelo, SAEED AGHABOZORGI, Sourav Mazumder, Linda Liu, Yan Luo, Saishruthi Swaminathan, and Saeed Aghabozorgi

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!

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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!

What you'll 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.

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What's inside

Five courses

Analyzing Data with Python

(15 hours)
Learn to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

Visualizing Data with Python

(15 hours)
A picture is worth a thousand words. This especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

Data Science and Machine Learning Capstone Project

(21 hours)
Now that you've taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario. Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.

Python Basics for Data Science

(21 hours)
Kickstart your Python for data science journey with this beginner-friendly course. You'll learn Python basics, work with data in Python, and create your own Python scripts. Upon completion, you'll be able to perform basic hands-on data analysis using Jupyter Notebooks.

Machine Learning with Python: A Practical Introduction

(25 hours)
This Machine Learning with Python course dives into the basics of machine learning using Python. You'll learn about supervised vs. unsupervised learning, statistical modeling, and popular algorithms like Classification, Regression, Clustering, and Dimensional Reduction. Real-life examples will showcase the impact of machine learning on society. Hands-on labs will transform your theoretical knowledge into practical skills.

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