Certified Entry-Level Data Analyst with Python (PCED)

سرفصل های دوره

1.Introduction to NumPy

1.Basic NumPy Concepts1C30C

2.Working with NumPy Arrays1C30C

3.Accessing and Slicing NumPy Arrays1C30C

4.Other Ways to Create NumPy Arrays1C30C

5.Challenge & Solution NumPy Array Practice1C30C

6.Hands-On Lab or Other Video1C30C

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2.Working with Multidimensional NumPy Arrays

1.Multi-Dimensional Arrays1C30C

2.Accessing Multi-Dimensional Array Values1C30C

3.Slicing Multi-Dimensional Arrays1C30C

4.Challenge & Solution 4D Arrays1C30C

5.Hands-On Lab or Other Video1C30C

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3.NumPy Array Operations

1.Sorting NumPy Arrays1C30C

2.Concatenating and Removing Array Elements1C30C

3.Reshaping and Resizing Arrays1C30C

4.NumPy Array Attributes1C30C

5.Challenge & Solution np.lexsort1C30C

6.Hands-On Lab or Other Video1C30C

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4.Basics of Jupyter Notebooks

1.What are Jupyter Notebooks 1C30C

2.Getting Started with Jupyter Notebooks1C30C

3.The Basic Jupyter Interface1C30C

4.Essential Jupyter Hotkeys1C30C

5.Hotkey Challenge1C30C

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5.Introduction to Fancy Indexing in NumPy

1.Integer Array Indexing1C30C

2.Combining Integer Indexing with Slicing1C30C

3.Boolean Array Indexing1C30C

4.Challenge & Solution Combining Integer and Boolean Indexing1C30C

5.Hands-On Lab or Other Video1C30C

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6.NumPy Array Broadcasting In-Depth

1.Array Broadcasting Basics1C30C

2.Broadcasting with Arrays of Different Sizes1C30C

3.Resizing and Reshaping with Broadcasting1C30C

4.Challenge & Solution Broadcasting Applications1C30C

5.Hands-On Lab or Other Video1C30C

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7.Basic Data Analysis with NumPy Arrays

1.Using Toy Datasets1C30C

2.Manipulating Toy Datasets with NumPy1C30C

3.Using NumPys .mean Method1C30C

4.Using NumPys Descriptive Statistics Functions1C30C

5.Challenge & Solution Applying NumPy Operations to Datasets1C30C

6.Hands-On Lab or Other Video1C30C

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8.Basics of Pandas Series

1.Introduction to Pandas1C30C

2.Creating Pandas Series1C30C

3.Accessing and Manipulating Pandas Series1C30C

4.Useful Series-Creation Functions1C30C

5.Challenge & Solution Series-Series Operations1C30C

6.Hands-On Lab or Other Video1C30C

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9.Basics of Pandas DataFrames

1.Creating DataFrames1C30C

2.Accessing Rows and Columns on DataFrames1C30C

3.Adding and Removing Columns1C30C

4.Challenge & Solution Other Ways of Creating DataFrames1C30C

5.Hands-On Lab or Other Video1C30C

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10.NumPys Data Types In-Depth

1.NumPy Integer Types1C30C

2.NumPy Float Types1C30C

3.Other Common Data Types1C30C

4.Challenge & Solution Structured Data Types1C30C

5.Hands-On Lab or Other Video1C30C

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11.Generating Random Numbers with NumPy and Pandas

1.Generating Random Floats1C30C

2.Generating Random Integers1C30C

3.Making Random Selections from Arrays1C30C

4.Generating Random Numbers from Distributions1C30C

5.Challenge & Solution Generating Synthetic Data1C30C

6.Hands-On Lab or Other Video1C30C

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12.Working with Datasets in Pandas

1.Loading and Viewing CSV Datasets1C30C

2.Basic Data Exploration1C30C

3.Viewing Unique Values1C30C

4.Renaming DataFrame Columns1C30C

5.Challenge Your Turn1C30C

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13.Dataset Cleaning in Pandas

1.Finding Missing Values in DataFrames1C30C

2.Viewing Rows with Missing Values1C30C

3.Handling Missing Values1C30C

4.Retyping DataFrame Columns1C30C

5.Challenge & Solution Cleaning Real-Estate Data1C30C

6.Hands-On Lab or Other Video1C30C

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14.The Basics of Pandas Dataset Grouping

1.Setting Up a Dataset1C30C

2.Grouping DataFrames By Column1C30C

3.Grouping By Multiple Columns1C30C

4.Challenge & Solution Data Grouping Tasks1C30C

5.Hands-On Lab or Other Video1C30C

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