Python for Data Science: Analyzing Data Using Python 2024 E-Learning

Course content

Python for Data Science: Introduction to NumPy for Multi-dimentional Data

Course: 1 Hour

• Course Overview
• Introduction to NumPy and the NumPy Ecosystem
• Array Creation - Part 1
• Array Creation - Part 2
• Printing Arrays
• Basic Array Operations
• Universal Functions
• Indexing and Slicing
• Iterating Over Arrays
• Reshaping Arrays
• Exercise: Python NumPy Array Operations

Python for Data Science: Advanced Operations with NumPy Arrays

Course: 1 Hour, 8 Minutes

• Course Overview
• Splitting NumPy Arrays
• Images as Arrays
• Image Manipulation Using NumPy
• Views and NumPy Arrays
• Deep Copies of Arrays
• Introduction to Index Masks
• Applying Index Masks
• Indexing with Boolean Masks
• Structured Arrays
• Understanding Array Broadcasting
• Applying Broadcasting Rules on Array Operations
• Exercise: NumPy Multi-dimensional Array Operations

Python for Data Science: Introduction to Pandas

Course: 1 Hour, 6 Minutes

• Course Overview
• Features of Pandas and the Pandas Ecosystem
• Introduction to Pandas
• Work with Pandas
• Introduction to DataFrames
• Work with DataFrames
• Load Data into a DataFrame
• Add and Delete DataFrame Contents
• Select Parts of a DataFrame
• Access Pandas DataFrames
• Introduction to Multi-Indexing in a Dataframe
• Reshape DataFrames
• Reshape Dataframes Using Stack and Melt Operations
• Exercise: Pandas for Basic Tabular Data Manipulation

Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames

Course: 45 Minutes

• Course Overview
• Iterating Over the Contents of a DataFrame
• Exporting a DataFrame
• Sorting
• Handling Missing Data
• Grouping with a Multi-Index
• Merging DataFrames
• Applying Join Operations on DataFrames
• Pandas and Relational Databases
• Exercise: Pandas for Advanced Data Manipulation

Python for Data Science: Basic Data Visualization Using Seaborn

Course: 1 Hour, 7 Minutes

• Course Overview
• Introduction to Seaborn
• Install Seaborn
• Simple Univariate Distributions
• Configure Univariate Distribution Plots
• Simple Bivariate Distributions
• Explore Different Types of Bivariate Distributions
• Analyze Multiple Variable Pairs
• Regression Plots
• Themes and Styles in Seaborn
• Exercise: Basic Data Visualization Using Seaborn

Python for Data Science: Advanced Data Visualization Using Seaborn

Course: 1 Hour, 4 Minutes

• Course Overview
• Searching for Patterns in a Dataset
• Configuring Plot Aesthetics
• Normal Distribution and Outliers
• Distributions Within Categories - Part 1
• Distributions Within Categories - Part 2
• Analyzing Categories with Facet Grids - Part 1
• Analyzing Categories with Facet Grids - Part 2
• Introducing Color Palettes5
• Using Color Palettes
• Exercise: Advanced Data Visualization Using Seaborn

Analyzing Data Using Python

Analyzing Data Using Python: Data Analytics Using Pandas

Course: 1 Hour, 15 Minutes

• Course Overview
• Creating a pandas Series
• Performing Basic Series Operations
• Performing Casting Operations Using Series
• Performing Logical Operations Using Series
• Creating and Editing pandas DataFrames
• Performing Data Lookup Using DataFrames
• Constructing DataFrames from Dictionaries and Tuples
• Course Summary

Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas

Course: 1 Hour, 23 Minutes

• Course Overview
• Importing and Exporting CSV Files
• Importing and Exporting Data in HTML and JSON Files
• Reading and Writing Excel Files Using DataFrames
• Performing Basic DataFrame Operations
• Computing Unique Values and Renaming Columns
• Sorting Data Based on Specific Columns
• Computing Basic Statistics
• Computing Univariate and Bivariate Statistics
• Course Summary

Analyzing Data Using Python: Analyzing Data Using Python: Filtering Data in Pandas

Course: 1 Hour, 26 Minutes

• Course Overview
• Performing Data Lookup Operations
• Leveraging the loc and iloc Functions
• Using the loc, iloc, at, and iat Functions to Filter Data
• Filtering Data Using Wildcards and Boolean Predicates
• Using the Query Function to Filter Data
• Manipulating Data Using Datetime Values
• Selecting and Dropping Columns
• Applying Advanced Techniques to Select and Drop Columns
• Course Summary

Analyzing Data Using Python: Cleaning & Analyzing Data in Pandas

Course: 1 Hour, 53 Minutes

• Course Overview
• Identifying Duplicates in Data
• Categorizing and Binning Data
• Computing Aggregations on Data
• Grouping and Aggregating Data1
• Viewing Data Using Pivot Tables
• Summarizing Data Using Pivot Tables
• Combining Data in DataFrames
• Implementing Inner Joins
• Implementing Left and Right Joins
• Performing Joins Using DataFrame Indexes
• Analyzing Time Series Data
• Course Summary

Get started with Python for Data Science!

✔️ Learn at your own pace with extensive interactive videos, practical assignments and challenging tests.
✔️ Build practical skills that will help you get started immediately in the world of data analysis.
✔️ Get certified and add value to your CV and career.

Order your course now and start your journey to data analytics expertise today!