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Data Analysis
Udemy - Apache Spark and PySpark for Data Engineering and Big Data 2024-11
0 students
Last updated
Feb 2025
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Overview
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Course content
Sections:
25
•
Activities:
0
•
Resources:
49
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Section 1
1 - Spark Framework and PySpark Introduction
1 Spark Framework and PySpark Introduction
Section 2
2 - Spark and its Components
1 Part 1 Spark and its Components
2 Part 2 Spark and its Components
Section 3
3 - Python Concepts for Big Data - Data Types & Data Structures
1 Part 1 Python Concepts for Big Data Data Types Data Structures
2 Part 2 Python Concepts for Big Data Data Types Data Structures
3 Part 3 Python Concepts for Big Data Data Types Data Structures
Section 4
4 - Conditional Control Structure, Loops, Statement, Comprehensions
1 Part 1 Conditional Control Structure Loops Statement Comprehensions
2 Part 2 Conditional Control Structure Loops Statement Comprehensions
Section 5
5 - Functions, Maps, Filters, Reduce, Lambda Expressions
1 Part 1 Functions Maps Filters Reduce Lambda Expressions
2 Part 2 Functions Maps Filters Reduce Lambda Expressions
3 Part 3 Functions Maps Filters Reduce Lambda Expressions
Section 6
6 - Modules and Packages, their Methods and Attributes
1 Part 1 Modules and Packages their Methods and Attributes
2 Part 2 Modules and Packages their Methods and Attributes
3 Part 3 Modules and Packages their Methods and Attributes
Section 7
7 - Data Analysis with NumPy and Pandas
1 Part 1 Data Analysis with NumPy and Pandas
2 Part 2 Data Analysis with NumPy and Pandas
3 Part 3 Data Analysis with NumPy and Pandas
4 Part 4 Data Analysis with NumPy and Pandas
5 Part 5 Data Analysis with NumPy and Pandas
Section 8
8 - Data Cleaning and Pre-processing
1 Data Cleaning and Pre processing
Section 9
9 - Visualizations with Matplotlib and Seaborn
1 Part 1 Visualizations with Matplotlib and Seaborn
2 Part 2 Visualizations with Matplotlib and Seaborn
3 Part 3 Visualizations with Matplotlib and Seaborn
Section 10
10 - Machine Learning and Build ML Models
1 Part 1 Machine Learning and Build ML Models
2 Part 2 Machine Learning and Build ML Models
3 Part 3 Machine Learning and Build ML Models
4 Part 4 Machine Learning and Build ML Models
Section 11
11 - Case Study in Education Domain
1 Case Study in Education Domain
Section 12
12 - PySpark Architecture, Framework, and Processing Workflow
1 PySpark Architecture Framework and Processing Workflow
Section 13
13 - PySpark Data Frames with various Operations
1 Part 1 PySpark Data Frames with various Operations
2 Part 2 PySpark Data Frames with various Operations
3 Part 3 PySpark Data Frames with various Operations
4 Part 4 PySpark Data Frames with various Operations
5 Part 5 PySpark Data Frames with various Operations
6 Part 6 PySpark Data Frames with various Operations
Section 14
14 - PySpark RDD and SQL Data Frames
1 PySpark RDD and SQL Data Frames
Section 15
15 - Data Cleaning and Data Profiling with PySpark
1 Data Cleaning and Data Profiling with PySpark
Section 16
16 - Pyspark Data Handling with Domain Specific
1 Pyspark Data Handling with Domain Specific
Section 17
17 - Human Resources Data Operations
1 Human Resources Data Operations JSON Mapping
2 Human Resources Data Operations Conditional Statements
Section 18
18 - Data Visualizations with PySpark
1 Data Visualizations with PySpark
Section 19
19 - Machine Learning with PySpark MLlib
1 Machine Learning with PySpark MLlib
Section 20
20 - PySpark MLlib with Public Data Sources
1 PySpark MLlib with Public Data Sources
Section 21
21 - PySpark MLlib with Supervised ML and Unsupervised ML
1 PySpark MLlib with Supervised ML and Unsupervised ML
Section 22
22 - GraphX Component with GraphFrames Operations in PySpark
1 GraphX Component with GraphFrames Operations in PySpark
Section 23
23 - Spark Streaming Component and its Functionalities in PySpark
1 Part 1 Spark Streaming Component and its Functionalities in PySpark
2 Part 2 Spark Streaming Component and its Functionalities in PySpark
Section 24
24 - Spark Streamimg Component with Multiple Files in Directory
1 Spark Streamimg Component with Multiple Files in Directory
Section 25
25 - End-to-end Project of PySpark with the Components of Spark in Big Data
1 End to end Project of PySpark with the Components of Spark in Big Data
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Udemy - Apache Spark and PySpark for Data Engineering and Big Data 2024-11
Course modified date:
6 Feb 2025
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