Welcome to the Introduction to Python for Data Science training course! This course is designed to provide participants with a comprehensive understanding of fundamental Python programming concepts and their application in data science.
Throughout the course, participants will develop a strong foundation in writing and running different kinds of Python applications, as well as explore techniques for working with large data sets.
By the end of the course, attendees will be able to write effective code to perform various operations on data and apply this knowledge to new or existing real-world problems.
We hope you find this course useful and gain important skills that will benefit your career in data science!
Objectives
- Learn basic programming concepts and syntax in Python
- Understand how to apply Python for data science tasks, such as data manipulation, analytics, and visualization
- Acquire proficiency with libraries like NumPy, Pandas and Matplotlib
- Explain different Machine Learning algorithms and their applications using Python
- Develop proficiency in using Natural Language Processing (NLP) tools such as Scikit-learn and Genism
- Gain familiarity with Big Data technologies such as Apache Spark
- Develop hands-on experience in developing predictive models using real-world datasets
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