Python for Big Data
( 25 Modules )

Module #1
Introduction to Big Data and Python
Overview of Big Data, importance of Python in Big Data, and setting up the environment

Module #2
Python Basics for Big Data
Review of Python fundamentals, data types, and control structures

Module #3
Python Libraries for Big Data
Introduction to popular Python libraries for Big Data, including NumPy, Pandas, and SciPy

Module #4
Data Preprocessing with Pandas
Data cleaning, filtering, and transformation using Pandas

Module #5
Data Visualization with Matplotlib and Seaborn
Data visualization techniques using Matplotlib and Seaborn

Module #6
Introduction to NumPy and SciPy
Array operations, linear algebra, and scientific computing with NumPy and SciPy

Module #7
Working with Large Datasets
Handling large datasets, optimizing performance, and using chunking

Module #8
Introduction to Apache Spark
Overview of Apache Spark, Resilient Distributed Datasets (RDDs), and DataFrames

Module #9
Spark DataFrames and DataSets
Working with Spark DataFrames and DataSets, including data loading and manipulation

Module #10
Spark Machine Learning
Introduction to machine learning with Spark, including model training and evaluation

Module #11
Introduction to NoSQL Databases
Overview of NoSQL databases, including MongoDB, Cassandra, and HBase

Module #12
Working with MongoDB and PyMongo
Interacting with MongoDB using PyMongo, including data storage and retrieval

Module #13
Hadoop and HDFS
Introduction to Hadoop, HDFS, and MapReduce

Module #14
Working with Hadoop using PySpark
Using PySpark to interact with Hadoop, including data loading and processing

Module #15
Data Streaming with Kafka and Spark
Introduction to Kafka, Apache Kafka, and real-time data processing with Spark

Module #16
Machine Learning with Scikit-learn
Introduction to Scikit-learn, including supervised and unsupervised learning techniques

Module #17
Deep Learning with TensorFlow and Keras
Introduction to deep learning, including neural networks and convolutional neural networks

Module #18
Big Data Analytics with Python
Applying Python to big data analytics, including data mining and visualization

Module #19
Working with Time Series Data
Handling time series data, including data processing and visualization

Module #20
Geospatial Data Analysis with Python
Working with geospatial data, including data visualization and spatial analysis

Module #21
Python for Big Data:Best Practices and Optimization
Optimizing Python code for big data, including performance tuning and memory management

Module #22
Big Data Security and Privacy
Securing big data, including data encryption, access control, and privacy considerations

Module #23
Case Studies in Big Data with Python
Real-world case studies demonstrating the application of Python in big data

Module #24
Big Data Project Development
Guided project development, including problem definition, data preparation, and model implementation

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Python for Big Data career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Python for Big Data ( 25 Modules )

Python for Big Data
( 25 Modules )