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IBM Data Science

IBM via Coursera Professional Certificate


Prepare for a career in the high-growth field of data science. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months. No prior knowledge of computer science or programming languages is required. Data science involves gathering, cleaning, organizing, and analyzing data with the goal of extracting helpful insights and predicting expected outcomes. The demand for skilled data scientists who can use data to tell compelling stories to inform business decisions has never been greater. You’ll learn in-demand skills used by professional data scientists including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You’ll also work with the latest languages, tools,and libraries including Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more. Upon completing the full program, you will have built a portfolio of data science projects to provide you with the confidence to excel in your interviews. You will also receive access to join IBM’s Talent Network where you’ll see job opportunities as soon as they are posted, recommendations matched to your skills and interests, and tips and tricks to help you stand apart from the crowd. This program is ACE® and FIBAA recommended —when you complete, you can earn up to 12 college credits and 6 ECTS credits.


Course 1: What is Data Science?
- Offered by IBM. Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, ... Enroll for free.

Course 2: Tools for Data Science
- Offered by IBM. In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as ... Enroll for free.

Course 3: Data Science Methodology
- Offered by IBM. If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. ... Enroll for free.

Course 4: Python for Data Science, AI & Development
- Offered by IBM. Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the ... 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. This course ... Enroll for free.

Course 6: Databases and SQL for Data Science with Python
- Offered by IBM. Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts ... Enroll for free.

Course 7: Data Analysis with Python
- Offered by IBM. Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the ... Enroll for free.

Course 8: Data Visualization with Python
- Offered by IBM. One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story ... Enroll for free.

Course 9: Machine Learning with Python
- Offered by IBM. Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to ... Enroll for free.

Course 10: Applied Data Science Capstone
- Offered by IBM. This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python ... Enroll for free.


Taught by

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


4.0 rating, based on 1 Class Central review

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

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