Get started with Python, the popular and highly readable object-oriented language.
2h 11m • COURSE
Python for Data Science Essential Training Part 1 with Lillian Pierson, P.E.
Learn Python programming for data science. Discover how to clean, transform, analyze, and visualize data, as you build a practical project: an automated web scraper.
6h 2m • COURSE
Python for Data Science Essential Training Part 2 with Lillian Pierson, P.E.
Learn Python programming for data science. Part 2 describes how to use machine learning to generate predictions and recommendations and automate routine tasks.
3h 44m • COURSE
Python for Data Visualization with Michael Galarnyk
Build accurate, engaging, and easy-to-generate data visualizations using the popular programming language Python.
1h 21m • COURSE
Learning Python for Data Science, with Tim Fox and Elephant Scale with Tim Fox
Learn how to analyze and make sense of data using open-source Python libraries.
1h 6m • COURSE
Data Science Foundations: Python Scientific Stack with Miki Tebeka
Learn how to use the Python scientific stack to complete data science tasks. Find out how to work with pandas for data crunching, NumPy for numeric computation, and more.
3h 34m • COURSE
Python: Data Analysis with Michele Vallisneri
Interested in using Python for data analysis? Learn how to use Python, Pandas, and NumPy together to analyze data sets big and small.
2h 16m • COURSE
Using Python with Excel with Anthony Sagely
Take your Excel skills further by using Python. Discover how to inspect, filter, clean, convert, and visualize data with Excel and Python libraries like pandas and openpyxl.
1h 22m • COURSE
Python: Working with Predictive Analytics with Isil Berkun
Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.
1h 22m • COURSE
Python for Data Science Tips, Tricks, & Techniques with Ben Sullins
Learn 12 techniques for how to work with data using Python. Review how to explore data, ingest data, visualize data, and more.
47m 46s • COURSE
You'll learn Python skills with these experts.
Joe Marini is a senior developer advocate at Google and a developer of Dreamweaver and Windows Phone.
Joe has worked in the web and software industries for more than 20 years. He was an original member of the Dreamweaver engineering team at Macromedia, and held prominent early roles in creating products such as QuarkXPress, Microsoft Expression Blend, mFactory's mTropolis, and Extensis QX-Tools. He is regularly a featured speaker at industry conferences and has authored or co-authored several publications on web and software development. Prior to Google, Joe was responsible for the mobile web developer platform for Windows Phone 7 at Microsoft. His book, The Document Object Model, is widely regarded as the definitive resource for working with the DOM.
Lillian Pierson, P.E. is a leading expert in the field of big data and data science.
She equips working professionals and students with the data skills they need to stay competitive in today's data-driven economy.
Lillian has recently become a data science instructor for multiple courses on LinkedIn Learning. She's also the author of several highly-referenced technical books by the John Wiley & Sons, Inc. publishing company—including Data Science for Dummies (2017, 2015)—and has spent the last decade training and consulting for large technical organizations in the private sector, such as IBM, BMC, Dell, and Intel, as well as government organizations, from the US Navy down to the local government level.
As the Founder of Data-Mania LLC, Lillian offers online and face-to-face training courses, as well as workshops and other educational materials in the area of big data, data science, and data analytics.
Timothy Fox is a consultant, author, and speaker on the topics of big data and data science.
From big banks to tech startups, Tim has engaged his programming chops and data science knowhow to solve practical data science problems. With strong skills in Python, R, Hadoop, Spark, and other related technologies, he also engages in speaking and training in a variety of data science and big data related topics.
Tim is a principal at Elephant Scale, a specialized consulting and training company on big data.
Michele Vallisneri is a theoretical astrophysicist at NASA Jet Propulsion Laboratory.
He obtained his PhD in physics at the California Institute of Technology in 2002. His research spans the detection and interpretation of gravitational waves with LIGO, in space, and with pulsar timing. He is an expert in data analysis, Bayesian inference, and computational physics, and he believes that elegant, transparent programming can illuminate the hardest problems. He is a Fellow of the American Physical Society, and he was awarded the NASA Exceptional Scientific Achievement Medal.
Isil Berkun is the founder of IBuniversal LLC, a data science consulting firm.
Isil is a data scientist with 15+ years of experience. She's from Istanbul, Turkey and currently lives in Portland, Oregon. She graduated from Michigan State University in 2015, receiving her PhD in electrical engineering. Her areas of expertise include advanced semiconductor electronics and machine learning for an in-depth understanding of device manufacturing and design. Isil interned at Scientific and Technological Research Council of Turkey (TÜBİTAK) and Argonne National Laboratory (ANL) in Illinois. She previously worked as a research and teaching assistant at MSU, where she designed and built a semiconductor transport characterization system and programmed test automation in LabVIEW.
As a lifelong data geek, Ben Sullins dedicates his time to helping others use data wisely.
Ben makes information meaningful and has fun doing it. His background affords him a unique set of knowledge that sets him apart in the data community. Since the late 1990s, he has consulted many high-tech companies, including Facebook, Microsoft, LinkedIn, Cisco, Mozilla, Pluralsight, and Genentech, on democratizing data in their organizations. Moreover, Ben spent three months leading the charge at Facebook to grow its data culture by demonstrating proper tool implementation and data visualization techniques using Tableau. And with this expertise, Ben aims to provide exceptional service to his customers by enriching their lives with impactful smart data.