CHFI v8 - Computer Hacking Forensic Investigator
312-49-v8
Use Python for Data Science – because basic is for spreadsheets!
(PYTHON-DS.AE1) / ISBN : 978-1-64459-462-9This Python for data science training course is your map, starting from the ABCs of coding and guiding you through the thrilling experience of data analysis. You’ll encounter Google Colab and Jupyter Notebook along the way. In addition, harness the strength of Numpy and Pandas for data conditioning and visualization by enrolling in this Python for Data Science course. Along the way, you’ll decode complex numbers with machine learning (ML), unearth hidden patterns, and become a professional data scientist.
23+ Interactive Lessons | 40+ Exercises | 170+ Quizzes | 76+ Flashcards | 76+ Glossary of terms
30+ LiveLab | 15+ Video tutorials | 24+ Minutes
Learn everything you need to know about our beginner’s guide to Python data science.
Contact Us NowYou need to know how to write basic Python code, work with libraries like Pandas and NumPy, and understand data structures and basic algorithms.
No prerequisites needed! This Python for data science for beginners course starts from scratch, so no prior programming experience is needed. Just bring your curiosity and enthusiasm.
All you need is a fast WiFi connection, a modern browser, and a willingness to learn. We’ll guide you through everything else.
No, this Python for data science course is designed for individual study, but there are tons of online forums and communities where you can share your progress and get help if needed.
The big ones you’ll use are Pandas, NumPy, and Matplotlib. These libraries will help you handle data, perform analysis, and visualize your findings.