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Written Edition English Tutorial
Pandas in Python: Complete Data Analysis Course with Projects
Curriculum
11 Sections
56 Lessons
10 Weeks
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Pandas Fundamentals in Python – Getting Started with Data Analysis
4
1.1
Introduction to Pandas in Python: Data Analysis
1.2
Pandas Series: The Building Block of Pandas
1.3
Pandas DataFrame Fundamentals
1.4
Loading Data into Pandas
Selecting, Filtering & Manipulating Data in Pandas
6
2.1
Lesson 1 — Advanced DataFrame Selection and Filtering
2.2
MCQs for Python Pandas Data Structures
10 Minutes
4 Questions
2.3
Advanced Filtering with Conditions in Pandas
2.4
MCQs for Pandas Index Objects
10 Minutes
4 Questions
2.5
Lesson 3 — Sorting, Ranking and Ordering Data in Pandas
2.6
Lesson 4 — Handling Missing Data in Pandas
Chapter 3 — GroupBy, Aggregation and Data Analysis in Pandas
1
3.1
Lesson 1 — GroupBy in Pandas: Grouping Data for Analysis
Python Pandas - DataFrame
12
4.1
Python Pandas – DataFrame
4.2
MCQs for Pandas DataFrame
10 Minutes
4 Questions
4.3
Python Pandas – Accessing DataFrame
4.4
MCQs on Accessing and Modifying DataFrame Labels in Pandas
10 Minutes
4 Questions
4.5
Python Pandas – Slicing a DataFrame Object
4.6
MCQs for Pandas DataFrame Slicing
10 Minutes
4 Questions
4.7
Python Pandas – Modifying DataFrame
4.8
MCQs for Modifying Pandas DataFrames
10 Minutes
4 Questions
4.9
Python Pandas – Removing Rows from a DataFrame
4.10
MCQs on Removing Rows in Pandas DataFrame
10 Minutes
4 Questions
4.11
Python Pandas – Arithmetic Operations on DataFrame
4.12
MCQs for Arithmetic Operations in Pandas DataFrames
10 Minutes
4 Questions
Python Pandas - IO Tools
18
5.1
Python Pandas – IO Tools
5.2
MCQs on Pandas I/O Tools for Data Analysts
10 Minutes
4 Questions
5.3
Python Pandas – Working with CSV Format
5.4
MCQs for Working with CSV Files Using Pandas
10 Minutes
4 Questions
5.5
Python Pandas – Reading and Writing JSON Files
5.6
MCQs for JSON Files in Pandas
10 Minutes
4 Questions
5.7
Python Pandas – Reading Data from an Excel File
5.8
MCQs on Reading Excel Files using Pandas
10 Minutes
4 Questions
5.9
Python Pandas – Writing Data to Excel Files
5.10
MCQs on Writing Data to Excel with Pandas
10 Minutes
4 Questions
5.11
Python Pandas – Working with HTML Data
5.12
MCQs on Handling HTML Tables with Pandas in Python
10 Minutes
4 Questions
5.13
Python Pandas – Clipboard
5.14
MCQs on Clipboard Operations in Pandas
10 Minutes
4 Questions
5.15
Python Pandas – Working with HDF5 Format
5.16
MCQs on Working with HDF5 Files in Pandas
10 Minutes
4 Questions
5.17
Python Pandas – Comparison with SQL
5.18
MCQs on SQL vs Pandas
10 Minutes
4 Questions
Python Pandas - Data Handling
24
6.1
Python Pandas – Sorting
6.2
MCQs on Sorting Data in Pandas
10 Minutes
4 Questions
6.3
Python Pandas – Reindexing
6.4
MCQs on Pandas Reindexing
10 Minutes
4 Questions
6.5
Python Pandas – Iteration
6.6
MCQs on Iterating Over Pandas Objects
10 Minutes
4 Questions
6.7
Python Pandas – Concatenation
6.8
MCQs on Pandas Concatenation
10 Minutes
4 Questions
6.9
Python Pandas – Statistical Functions
6.10
MCQs on Statistical Methods in Pandas
10 Minutes
4 Questions
6.11
Python Pandas – Descriptive Statistics
6.12
MCQs on Descriptive Statistics in Pandas
10 Minutes
4 Questions
6.13
Python Pandas – Working with Text Data
6.14
MCQs on Working with Text Data
10 Minutes
4 Questions
6.15
Python Pandas – Function Application
6.16
MCQs on Pandas Function Application
10 Minutes
4 Questions
6.17
Python Pandas – Options and Customization
6.18
MCQs on Pandas Options and Customization
10 Minutes
4 Questions
6.19
Python Pandas – Window Functions
6.20
MCQs on Window Functions in Pandas
10 Minutes
4 Questions
6.21
Python Pandas – Aggregations
6.22
MCQs to Test Your Data Aggregation Skills
10 Minutes
4 Questions
6.23
Python Pandas – Merging/Joining
6.24
MCQs on Merging DataFrames in Pandas
10 Minutes
4 Questions
Python Pandas - MultiIndex
10
7.1
Python Pandas – Basics of MultiIndex
7.2
MCQs for MultiIndex in Pandas
10 Minutes
4 Questions
7.3
Python Pandas – Indexing with MultiIndex
7.4
MCQs for Indexing with MultiIndex
10 Minutes
4 Questions
7.5
Python Pandas – Advanced Reindexing with MultiIndex
7.6
MCQs for Advanced Reindexing with MultiIndex in Pandas
10 Minutes
4 Questions
7.7
Python Pandas – Renaming MultiIndex Labels
7.8
MCQs for Renaming MultiIndex Labels in Pandas
10 Minutes
4 Questions
7.9
Python Pandas – Sorting a MultiIndex
7.10
MCQs for Sorting MultiIndex in Pandas
10 Minutes
4 Questions
Python Pandas - Binary Operations
6
8.1
Python Pandas – Binary Comparison Operations
8.2
MCQs for Binary Comparison Operations in Pandas
10 Minutes
4 Questions
8.3
Python Pandas – Boolean Indexing
8.4
MCQs for Boolean Indexing in Pandas
10 Minutes
4 Questions
8.5
Python Pandas – Boolean Masking
8.6
MCQs for Boolean Masking in Pandas
10 Minutes
4 Questions
Python Pandas - Data Reshaping & Pivoting
8
9.1
Python Pandas – Pivoting
9.2
MCQs for Pivoting in Pandas
10 Minutes
4 Questions
9.3
Python Pandas – Stacking and Unstacking
9.4
MCQs on Stacking and Unstacking in Pandas
10 Minutes
4 Questions
9.5
Python Pandas – Melting
9.6
MCQs on Melting DataFrames Using Pandas
10 Minutes
4 Questions
9.7
Python Pandas – Computing Dummy Variables
9.8
MCQs on Dummy Variables in Pandas
10 Minutes
4 Questions
Python Pandas - Categorical Data
6
10.1
Python Pandas – Categorical Data
10.2
MCQs on Categorical Data in Pandas
10 Minutes
4 Questions
10.3
Python Pandas – Ordering & Sorting Categorical Data
10.4
MCQs on Categorical Data Handling in Pandas
10 Minutes
4 Questions
10.5
Python Pandas – Comparing Categorical Data
10.6
MCQs on Comparing Categorical Data in Pandas
10 Minutes
4 Questions
Python Pandas - Handling Missing Data
10
11.1
Python Pandas – Missing Data
11.2
MCQs on Handling Missing Data in Python Pandas
10 Minutes
4 Questions
11.3
Python Pandas – Filling Missing Data
11.4
MCQs on Handling Missing Data in Pandas
10 Minutes
4 Questions
11.5
Python Pandas – Interpolation of Missing Values
11.6
MCQs on Interpolation in Pandas
10 Minutes
4 Questions
11.7
Python Pandas – Dropping Missing Data
11.8
MCQs for Dropping Missing Data in Pandas
10 Minutes
4 Questions
11.9
Python Pandas – Calculations with Missing Data
11.10
MCQs on Handling Missing Data in Pandas Calculations
10 Minutes
4 Questions
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