EdX

Python for Data Science Project (edX)

Offered by IBM,
Python for Data Science Project (edX)

This mini-course is intended for you to demonstrate foundational Python skills for working with data. This mini-course is intended for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This course is part of the following programs:

What you'll learn
In this course you will learn about:

  • Demonstrate your skills for working with Python and Data
  • Create a dashboard that shows key performance indicators from a specific data set

Syllabus

Module 1 - Intro to Web Scraping (optional)
Module 2 - Final Project: Analyzing Stock Performance and Building a Dashboard
Peer assignment

Prerequisites:
Python Basics for Data Science course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python Basics for Data Science course from IBM or have equivalent proficiency in working with Python and data.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

CS50's Introduction to Computer Science (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Computer Science (edX)

An introduction to the intellectual enterprises of computer science and the art of programming. This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50 teaches students how to think algorithmically and solve problems efficiently.

Self Paced
Self-Paced
Statistical Thinking for Data Science and Analytics (edX) EdX
Columbia University,ColumbiaX

Statistical Thinking for Data Science and Analytics (edX)

Learn how statistics plays a central role in the data science approach. This statistics and data analysis course will pave the statistical foundation for our discussion on data science. You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.

Self Paced
Self-Paced
Using Python for Research (edX) EdX
HarvardX,Harvard University

Using Python for Research (edX)

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research. This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects.

Self Paced
Self-Paced
Analytics in Python (edX) EdX
Columbia University,ColumbiaX

Analytics in Python (edX)

Learn the fundamental of programming in Python and develop the ability to analyze data and make data-driven decisions. Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data. The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

This course is archived
5-12 Weeks
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
CS For All: Introduction to Computer Science and Python Programming (edX) EdX
Harvey Mudd College,HarveyMuddX

CS For All: Introduction to Computer Science and Python Programming (edX)

A fun, fast-paced introduction to solving interesting problems with computer science through Python programming. Looking to get started with computer science while learning to program in Python? This computer science course provides an introduction to computer science that’s both challenging and fun.

No sessions available
13-24 Weeks
Probability: Basic Concepts & Discrete Random Variables (edX) EdX
Purdue University,PurdueX

Probability: Basic Concepts & Discrete Random Variables (edX)

Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. Our capacity to collect and store data has exponentially increased, but deriving information from data from a scientific perspective requires a foundational knowledge of probability. Are you interested in a career in the emerging data science field, or as an actuarial scientist? Or want better to understand statistical theory and mathematical modeling?

No sessions available
5-12 Weeks
Data Science Essentials (edX) EdX
Microsoft

Data Science Essentials (edX)

Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from MIT and Microsoft. In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization. Plus, look at examples of how to build a cloud data science solution using Azure Machine Learning, R, and Python.

Not Available
Course Not Available
Data Science Readiness Assessment (edX) EdX
University of Notre Dame,NotreDameX

Data Science Readiness Assessment (edX)

Evaluate your level of preparedness in key aspects of mathematics and programming that are fundamental to a career in Data Science. Are you interested in pursuing a degree in Data Science, but unsure whether you have the necessary Math and Programming skills? This assessment will help you identify your current readiness in three core areas required for the study of Data Science; Calculus, Linear Algebra, and Programming.

No session available
Self-Paced