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Leo Porter, Ilkay Altintas, Alex Aklson, Rav Ahuja, Joseph Santarcangelo, SAEED AGHABOZORGI, Yan Luo, Saishruthi Swaminathan, and Dr. Pooja
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...
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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.
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What's inside

Five courses

Data Analysis with Python

Analyzing data with Python is essential for Data Scientists and Data Analysts. This course covers basics of data analysis with Python to building and evaluating data models. Topics include collecting, importing, cleaning, preparing, formatting data, data frame manipulation, summarizing data, building machine learning regression models, model refinement, and creating data pipelines.

Applied Data Science Capstone

(3 hours)
This final course in the IBM Data Science Professional Certificate and Applied Data Science with Python Specialization is a capstone project course that gives you the chance to practice the work that data scientists do in real life when working with datasets.

Machine Learning with Python

(0 hours)
Get ready to dive into Machine Learning (ML) using Python! This course is perfect for those looking to advance their Data Science career or get started in ML and Deep Learning.

Python for Data Science, AI & Development

(0 hours)
Kickstart your Python learning with this beginner-friendly course. Python is one of the most popular programming languages, and demand for Python skills is high. This course will teach you Python basics, data types, data structures, logic concepts, and Python libraries. You'll also use Python for data collection and web scraping. By the end of this course, you'll be able to create basic Python programs, work with data, and automate tasks.

Data Visualization with Python

(0 hours)
One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course, you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights.

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