Professional Certificate in Python Data Science

IBM

via

edX

Course Features

Duration

6 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Effort

5 hours per week

Teaching Type

Self Paced

Course Description

Data science is the core of digital economy. It has been named the most popular profession in the 21st Century. This five-course Data Science with Python Professional Certificate Program is designed to prepare you for a career as a data scientist or machine learning specialist. You don't need any prior programming experience!

The most widely used language for data science, Python, will be your first step. Then, you will learn how to analyze and visualize data and get an introduction into machine learning. You will then apply your data science and machine-learning knowledge to a real business problem.

Experts will teach this program. It is focused on practical learning and job readiness. You will have access to the IBM Cloud's Jupyter notebooks at no cost. Popular Python libraries and toolkits such as numpy and matplotlib will be used, along with pandas, numpy and seaborn.

Get started today with data analysis and data development skills to launch your data science career!

Course Overview

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

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

Course Content

Expand all sections

Module 1: Python Basics for Data Science

Module 2: Python for Data Science Project

Module 3: Analyzing Data with Python

Module 4: Visualizing Data with Python

Course Instructors

Saishruthi Swaminathan

Data Scientist and Developer Advocate

Saishruthi Swaminathan is a data scientist and developer advocate in the IBM CODAIT team whose main focus is to democratize data and AI through open source technologies. She has a Masters in Electric...

Azim Hirjani

Cognitive Data Scientist

Azim Hirjani is a Data Scientist Intern at IBM and is pursuing a BS in Computer Science from the University of Toronto. He creates content for various IBM Data Science courses on platforms such as Co...

Saeed Aghabozorgi

PhD, Sr. Data Scientist

Saeed Aghabozorgi, PhD is a Sr. Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients' ability to turn data into actionable knowle...

Joseph Santarcangelo

PhD., Data Scientist

Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.