Introduction to Python and applications for web development, data analysis, scientific computing, artificial intelligence, automation etc.
Basics of data manipulation including variables, data types, basic operations, control structures, functions, and modules.
Working with data structures like lists, dictionaries, tuples; discreet and continuous data.
Mastering data input and output (reading/writing files).
Data cleaning, preprocessing, and manipulation with NumPy, Pandas, and Django.
Basics of data visualization design - lines, colors, and data content.
Data visualization libraries (matplotlib and seaborn), basic maps, graphs, and charts.
Basics of statistics, probability and exploratory data analysis (EDA) techniques.
Videos
Articles
Digital Badges
Quizzes
Handouts
One-to-one mentorship
You work in data science and analytics fields and have a basic understanding of mathematics and statistics.
Master the Python ecosystem, including its extensive code library.
Master the Python syntax and programming concepts as a versatile programmer.
Gain access to the community of Python developers and their vast resources, updates and global best uses cases.
Streamline various tasks and save time and effort through libraries.
Master Python’s cross-platform capabilities.
Apply Python-based solutions to create and present meaningful and impactful data visualizations.
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