NumPy, Pandas, & Python for Data Analysis: A Complete Guide

سرفصل های دوره

Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization

1 - Module 1 Introduction to Python for Data Analysis

1 -Basic Python programming concepts

2 -Understanding data analysis

2 - Module 2 Introduction to NumPy

1 -Creating NumPy arrays from Python lists

2 -Array indexing, slicing, and reshaping

3 -Basic operations with NumPy arrays

4 -Mathematical functions in NumPy

5 -Working with multidimensional arrays

6 -Random number generation

7 -Reading and writing files with NumPy

3 - Module 3 Introduction to Pandas

1 -Creating and understanding DataFrames

2 -Importing and exporting data (CSV, Excel, JSON)

3 -DataFrame indexing and selection

4 -Adding, removing, and updating data

5 -Handling missing data

6 -Data filtering, sorting, and grouping

7 -Understanding time series data

8 -Working with dates and times in Pandas

9 -Time series analysis and manipulation

4 - Module 4 Data Cleaning and Preparation

1 -Identifying and handling missing data

2 -Removing duplicates

3 -Data transformation and normalization

4 -Merging, joining, and concatenating DataFrames

5 -Reshaping and pivoting data

6 -Applying functions to DataFrames

5 - Module 5 Data Visualization with Pandas

1 -Importance of data visualization

2 -Basic plotting with Pandas

3 -Customizing plots (titles, labels, colors)

4 -Creating complex visualizations (histograms, scatter plots, box plots)

6 - Module 7 Advanced Topics in Data Analysis

1 -Memory optimization techniques

2 -Efficient computation with large datasets

3 -Preparing data for machine learning

4 -Working with dates and times in Pandas

5 -Basic machine learning algorithms using Pandas and NumPy

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تولید کننده: Udemy