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IBM

IBM Data Science

IBM via Coursera Professional Certificate

Overview

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist. The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in data science.

Syllabus

Course 1: What is Data Science?
- Offered by IBM. The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census ... Enroll for free.

Course 2: Tools for Data Science
- Offered by IBM. What are some of the most popular data science tools, how do you use them, and what are their features? In this course, ... Enroll for free.

Course 3: Data Science Methodology
- Offered by IBM. Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the ... Enroll for free.

Course 4: Python for Data Science, AI & Development
- Offered by IBM. Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly ... Enroll for free.

Course 5: Python Project for Data Science
- Offered by IBM. This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of ... Enroll for free.

Course 6: Databases and SQL for Data Science with Python
- Offered by IBM. Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for ... Enroll for free.

Course 7: Data Analysis with Python
- Offered by IBM. Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different ... Enroll for free.

Course 8: Data Visualization with Python
- Offered by IBM. "A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to ... Enroll for free.

Course 9: Machine Learning with Python
- Offered by IBM. This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. ... Enroll for free.

Course 10: Applied Data Science Capstone
- Offered by IBM. This capstone project course will give you a taste of what data scientists go through in real life when working with data. ... Enroll for free.

Courses

Taught by

Alex Aklson, Joseph Santarcangelo, Polong Lin, Rav Ahuja and SAEED AGHABOZORGI

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  • Beginner-level introduction to Python, notebooks, pandas, numpy, scikit-learn, matplotlib, regression, visualisation, etc.

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