Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
What you will learn
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Students will learn how to create and manipulate arrays, perform mathematical operations on arrays, and use functions such as sorting, searching, and statistics
Students will learn how to create and manipulate Series and Data Frames.
Students will learn how to create plots and charts, customize the appearance of visualizations, and add annotations and labels.
NumPy, Pandas, and Matplotlib will typically teach students how to use these tools to analyze and visualize data.
Add-On Information:
- Master the fundamentals of Python for Data Science: Gain a solid foundation in Python programming, essential for data manipulation and analysis.
- Become proficient in NumPy: Learn to create, manipulate, and perform mathematical operations on arrays, mastering essential array-based computing techniques.
- Unlock the power of Pandas: Develop expertise in working with Series and DataFrames, the core data structures for efficient data handling and analysis. Learn techniques for data cleaning, transformation, and manipulation.
- Visualize data with Matplotlib: Create compelling visualizations, including plots and charts, to effectively communicate insights from your data analysis. Customize plots with annotations and labels for clarity.
- Develop data wrangling skills: Learn to clean, transform, and prepare data for analysis using industry-standard Python libraries.
- Explore advanced data manipulation: Master sorting, searching, and statistical functions for comprehensive data exploration and analysis.
- Prepare for future data science roles: Acquire in-demand skills applicable to a wide range of data science roles in 2025 and beyond.
- Practical, hands-on approach: The course emphasizes practical application through numerous exercises and projects, ensuring you develop practical skills.
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