Data Analysis with Python
Data Analysis and Data Visualization*
Type of Training: Remote (Online) / In-Person; Time: Evenings & Weekends; Length: 60 hr;
Students will learn fundamentals of Data Analysis with Python programming. After completing this course, students will be able to perform related work that requires knowledge of data analysis with Python programming, data manipulation and data visualization. This training is available in-class and remotely (online).
1. Statistics Basics – students will review basic concepts and terminology in Statistics.
2. Python Programming Fundamentals – the module includes following topics: Basic Data Types (Basic Data Types, Variables, Operators, Functions and Modules), Compound Data Types (Lists, Strings, Sets, Dictionaries), Flow control (Conditional expressions, Loops, Iterators), Working with files, Working with functions, OOP Concepts, Benefits of Standard Library.
3. Data Analysis and Visualization with Python – module provides solid fundamentals of Data Analysis and Data Visualization using functions and Python Libraries, such as Numpy, Pandas, Seaborn etc.
*60 instructor-led in-class academic hours
Basics of Statistics and Excel
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