CCNA 200-301 Pearson uCertify Network Simulator
ISBN: 978-1-61691-837-8Cisco 200-301-SIMULATOR.AB1
Learn the ropes of Python programming to transform raw data into meaningful information – effortlessly.
(PYTHON-DS.AP1) / ISBN : 978-1-64459-378-3This foundational Python for data science course will start with the basics and smoothly transition into more advanced concepts, making sure you’re well-equipped to handle data. Also, you can practice using Pandas and NumPy in a risk-free online lab environment to learn data manipulation and analysis. Then, visualize your findings with Matplotlib and Seaborn. By the end, you’ll convert raw data into actionable information – all while having a bit of gamified experience along the way.
16+ Interactive Lessons | 177+ Exercises | 102+ Quizzes | 136+ Flashcards | 136+ Glossary of terms
36+ Pre Assessment Questions | 2+ Full Length Tests | 37+ Post Assessment Questions | 74+ Practice Test Questions
Get quick answers to common questions about the Python Data Science course.
Contact Us NowPython is simple, easy to learn, and packed with powerful tools that make working with data efficient. Whether you’re organizing data, analyzing trends, or visualizing patterns, Python’s got your back.
No prior experience needed! This Python for Data Science course starts with the basics, so you’ll get up to speed quickly.
You’ll learn to use some of the coolest Python libraries like Pandas for data manipulation, NumPy for numerical operations, Matplotlib for plotting, and Seaborn for creating stunning visualizations.
You’ll work on fun, hands-on projects that take you from cleaning and analyzing data to visualizing trends.