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This course teaches Python from basics to data analysis, covering variables, loops, functions, exception handling, and data structures. Learn NumPy, Pandas, and visualization with Matplotlib and Seaborn. Apply skills in an Exploratory Data Analysis (EDA) project, preparing you for advanced data science and machine learning concepts.
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This course is designed for beginners and aspiring data enthusiasts who want to master Python for data analysis. It covers Python fundamentals, control structures, functions, exception handling, and data structures. You’ll dive into NumPy and Pandas for data manipulation, and Matplotlib and Seaborn for visualization. The course includes hands-on practice with real-world datasets and culminates in an Exploratory Data Analysis (EDA) project, ensuring practical application of concepts. By the end, ...
Writing Python ProgramsVariables & Data TypesControl Flow & LoopsFunctions & Error HandlingData Structures (Lists, Tuples, Sets, Dictionaries)Functional Programming (Lambda, Map, Filter)Numpy for Numerical ComputationPandas for Data AnalysisData Grouping & MergingData Visualization with Seaborn & MatplotlibExploratory Data Analysis (EDA)
