March 2017
Intermediate
5h 55m
English
Closed Captioning available in English
Overview
In this 5 hr course, you will learn the fundamentals of data analysis using Python's powerful libraries like NumPy, Pandas, and SciPy. Develop hands-on skills for analyzing and understanding data, and gain the ability to uncover valuable insights through advanced computational techniques. By the course's end, you'll master techniques for manipulating and visualizing real-world data.
What I will be able to do after this course
- Discover how to systematically retrieve and process small and large datasets using Python.
- Master the use of Python libraries like NumPy, Pandas, and SciPy for data manipulation.
- Learn practical skills for visualizing data and communicating insights effectively.
- Gain an understanding of Natural Language Processing (NLP) techniques for analyzing text data.
- Apply predictive modeling methods to forecast and identify trends in your data.
Course Instructor(s)
Benjamin Hoff is a seasoned data scientist and Python enthusiast with over a decade of experience in analytics and software engineering. He has taught numerous courses focusing on real-world applications of Python for data analysis. Benjamin's teaching philosophy emphasizes active learning through interactive and practical examples.
Who is it for?
This course is designed for Python developers aiming to transition into or enhance their data analysis skills. If you're a software professional looking to understand and apply analytical insights using Python, this course is perfect for you. Experienced developers who wish to explore data science and machine learning essentials will also find value in this curriculum. Learners at an intermediate Python level with a passion for data-driven decision-making will benefit the most.
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