Python for Data Science Python Programming and Data Analysis 2

Python for Data Science Python Programming and Data Analysis 2
     Get Bonus Downloads Here.url -


     1. Introduction.mp4 -


     2. Course resources.html -


     Housing.csv -


     Housing.xlsx -


     Housing_with_null.csv -


     MatplotLib.ipynb -


     Numpy.ipynb -


     Pandas.ipynb -


     Python_Tutorial.ipynb -


     Seaborn.ipynb -


     example.txt -


     Autoviz-checkpoint.ipynb -


     MatplotLib-checkpoint.ipynb -


     Numpy-checkpoint.ipynb -


     Pandas-checkpoint.ipynb -


     Python_Tutorial-checkpoint.ipynb -


     Seaborn-checkpoint.ipynb -


     example-checkpoint.txt -


     gemini-checkpoint.ipynb -


     1. Introduction to Matplotlib Library.mp4 -


     2. Data Visualization with Matplotlib Plotting Essentials and Customization.mp4 -


     3. Visualizing Average Session Length per Day with a Line Chart.html -


     4. Exploring Subplots, Scatter Plots, and Customization.mp4 -


     5. Creating a Scatter Plot of Random Data Points.html -


     6. Crafting Bar Plots, Histograms, Pie Charts with Customization Using Matplotlib.mp4 -


     7. Practice Assignment Visualizing Olympic Medals Data with Matplotlib.html -


     1. Introduction to Seaborn Library.mp4 -


     2. Exploring Seaborn Univariate and Bivariate Analysis for Data Visualization.mp4 -


     3. Advanced Data Visualization with Seaborn Pairplot and Barplot Customization.mp4 -


     4. Advanced Visualizations with Countplot and Heatmap Using Seaborn.mp4 -


     5. Practice Assignment Data Visualization with Seaborn and the Iris Dataset.html -


     1. About your certificate.html -


     2. Bonus lecture.html -


     1. Introduction to Python.mp4 -


     10. Practice Assignment.html -


     2. First code to Python Programming.html -


     3. Variables in Python Declaration and Use.mp4 -


     4. Basic Arithmetic Operations in Python.html -


     5. Data types in Python.mp4 -


     6. Python String.mp4 -


     7. Quiz.html -


     8. String methods.mp4 -


     9. Calculating Body Mass Index (BMI) in Python.html -


     1. List in Python.mp4 -


     2. Working with Lists in Python.html -


     3. Tuples in Python.mp4 -


     4. Dictionaries in Python.mp4 -


     5. Working with Dictionaries in Python.html -


     6. Sets in Python.mp4 -


     7. Practice Assignment.html -


     1. Python Conditional Expressions.mp4 -


     2. Conditional Statements in Python.html -


     3. Exploring Operators and Conditional Expressions in Python.mp4 -


     4. Practice Assignment.html -


     1. For loops in Python.mp4 -


     2. Generating Square Numbers in Python.html -


     3. While loops in Python.mp4 -


     4. Practice Assignment.html -


     1. Function in Python.mp4 -


     2. Checking Even Numbers Using Functions in Python.html -


     3. Recursion in Python.mp4 -


     4. Lambda function.mp4 -


     5. Lambda Functions for Exponentiation.html -


     6. Practice Assignment.html -


     1. File IO in Python.mp4 -


     2. Writing to a File in Python.html -


     3. Quiz.html -


     1. Introduction to NumPy arrays.mp4 -


     2. Accessing the elements of NumPy arrays.mp4 -


     3. Creating and Accessing Elements in NumPy Arrays.html -


     4. Leveraging Data Types, Shapes, and Array Stacking in NumPy.mp4 -


     5. Exploring Diverse Approaches to Creating NumPy Arrays.mp4 -


     6. Creating NumPy Arrays with Evenly Spaced Numbers.html -


     7. Mathematical operations on arrays.mp4 -


     8. Array Operations and Median Calculation in Python.html -


     9. Practice Assignment.html -


     1. Introduction to Pandas Library.mp4 -


     2. Creating DataFrame from Dictionary in Pandas.html -


     3. Exploring Series and DataFrame in Python.mp4 -


     4. Essential Data Analysis Methods in Python.mp4 -


     5. Importing Data from CSV File using Pandas.html -


     6. Missing Data Handling in Python.mp4 -


     7. Manipulating DataFrame in Python.mp4 -


     8. Practice Assignment Analyzing and Visualizing the Titanic Dataset with Pandas.html -


     Bonus Resources.txt -

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