CCNA 200-301 Pearson uCertify Network Simulator
ISBN: 978-1-61691-837-8Cisco 200-301-SIMULATOR.AB1
Learn key Python Data Science tools required to work with data and create clear, easy-to-understand visuals.
(DS-TOOLS-PYTHON.AD1) / ISBN : 978-1-64459-252-6This course teaches you how to use the most important tools for data science in Python like NumPy, Pandas, and Matplotlib. You’ll gain hands-on experience with real-world data, learning how to manage, analyze, and visualize it in simple ways. By the end of this data science with Python course, you’ll be able to use Python programming to work with large data sets, create clear charts and graphs, and solve data problems.
8+ Interactive Lessons | 60+ Quizzes | 80+ Flashcards | 80+ Glossary of terms
60+ Pre Assessment Questions | 60+ Post Assessment Questions |
33+ LiveLab | 4+ Video tutorials | 13+ Minutes
Find answers to common questions about our Python Data Science course.
Contact Us NowPython is widely used in data science for tasks like managing large datasets, analyzing data patterns, and creating visualizations. With its simple syntax and powerful libraries like NumPy, Pandas, and Matplotlib, Python makes data analysis and visualization faster and more efficient.
Popular Python tools for data science include libraries like NumPy for numerical data, pandas for managing and analyzing datasets, Matplotlib and Seaborn for visualizing data, and Beautiful Soup for web scraping.
This course is perfect for beginners who want to establish a career in data science and Python programming or anyone who is looking for a smart way to upskill.
You can practice working on Python data analysis tools inside our hands-on labs and simulations, where you’ll work with real-world datasets in a risk-free environment and apply your skills to solve data challenges.