Learn Big Data Analysis With Python Training Course in Singapore
Data is growing faster than most tools can handle, and knowing how to work with it has become one of the most practical skills anyone can build today. The Big Data Analysis with Python Training Course in Singapore is a 2-day classroom training that teaches you how to process, analyse, and present large volumes of data using Python and Spark. This training is built around working skills, giving you a clear path from raw data to meaningful results using tools that are trusted and widely used across industries.
Schedule
- Days: 2 Days
- Duration: 14 Hours
- Timings: 9:30 AM - 5:30 PM
- 10 Anson Road, 26-08A International Plaza, Singapore 079903
Why Choose Us
- Expert Local Trainers
- Hands-on Training by experts
- Certificate of Achievement
Who Should Attend Big Data Analysis With Python Course
Big Data Analysis with Python Training Course in Singapore is designed for Python Developers, Data Analysts, and Data Scientists who want to strengthen their skills in handling and analysing large datasets. If you are someone who works with data regularly or planning to move into a data-focused role, this 2-day classroom training gives you the right foundation to work confidently with big data tools like Pandas, Spark, and Hadoop.
Business professionals
Analyst
Entrepreneur
Training Professionals
Student
Course Completion Requirements
Minimum 75% attendance is required in order to complete the course and receive the course completion certificate
Above 16 years old
High School Level English
Basic internet & computer operation skills
Big Data Analysis With Python
Python's simplicity combined with Spark's processing power makes it possible to work with datasets that traditional tools simply cannot handle. In this Big Data Analysis with Python Training Course in Singapore, you learn how to take raw data, bring it into a structured format, run queries on it and present it through clear interactive visuals that are straightforward for anyone to follow. From data manipulation with Pandas to building reproducible workflows in Jupyter Notebook, every step in this training connects to the next, giving you a complete picture of how data moves from collection to insight. As data volumes continue to grow across every industry, knowing how to process and analyse it using Python and Spark is becoming one of the most sought after skills in the job market today.
What You Will Learn Big Data Analysis With Python Course?
By the end of this Big Data Analysis with Python Training Course in Singapore, you will be able to handle large datasets confidently and turn them into clear, structured outputs. Here is what the course covers:
What You Will Learn Big Data Analysis With Python Course?
By the end of this Big Data Analysis with Python Training Course in Singapore, you will be able to handle large datasets confidently and turn them into clear, structured outputs. Here is what the course covers:
- How to set up a Python environment and start processing large files from scratch
- Ways to read, clean and transform data into formats that are easy to work with
- Generating statistics, metrics and graphs that actually make sense of your data
- Running computing tasks across a distributed cluster using Spark and Hadoop
- Converting data from different sources into formats ready for storage or querying
- Getting data ready for statistical analysis, visualisation and machine learning
- Presenting your findings through clear visuals built with Pandas and Jupyter Notebook
Learning Objectives
By the end of this Big Data Analysis with Python Training Course in Singapore, you will be able to:
- Use Python to read datasets and transform them into different formats for analysis
- Generate basic statistics and metrics directly from data stored on the disk
- Handle computing tasks distributed across a cluster without losing accuracy or speed
- Convert data from multiple sources into formats suitable for storage or querying
- Prepare datasets for statistical analysis, visualisation and machine learning workflows
- Build and present data findings through clear, effective visuals that are easy to interpret
Unsure if this course is suitable for you? Take this Quick test to help you decide.
Big Data Analysis With Python Course Outlines
Lesson 1: The Python Data Science Stack
- Python Libraries and Packages
- Using Pandas
- Data Type Conversion
- Aggregation and Grouping
- Exporting Data from Pandas
- Visualization with Pandas
Lesson 2: Statistical Visualizations
- Types of Graphs and When to Use Them
- Components of a Graph
- Which Tool Should Be Used?
- Types of Graphs
- Pandas Data Frames and Grouped Data
- Changing Plot Design: Modifying Graph Components
- Exporting Graphs
Lesson 3: Working With Big Data Frameworks
- Hadoop
- Spark
- Writing Parquet Files
- Handling Unstructured Data
Lesson 4: Diving Deeper With Spark
- Getting Started with Spark DataFrames
- Writing Output from Spark DataFrames
- Exploring Spark DataFrames
- Data Manipulation with Spark DataFrames
- Graphs in Spark
Lesson 5: Handling Missing Values And Correlation Analysis
- Setting up the Jupyter Notebook
- Missing Values
- Handling Missing Values in Spark DataFrames
- Correlation
Lesson 6: Exploratory Data Analysis
- Defining a Business Problem
- Translating a Business Problem into Measurable Metrics and Exploratory Data Analysis (EDA)
- Structured Approach to the Data Science Project Life Cycle
Lesson 7: Reproducibility In Big Data Analysis
- Reproducibility with Jupyter Notebooks
- Gathering Data in a Reproducible Way
- Code Practices and Standards
- Avoiding Repetition
Lesson 8: Creating A Full Analysis Report
- Reading Data in Spark from Different Data Sources
- SQL Operations on a Spark DataFrame
- Generating Statistical Measurements
Frequently Asked Questions (FAQs)
Who is this course designed for?
The course is designed for aspiring data analysts and professionals such as IT professionals, data analysts, data scientists, training professionals, and students. It’s especially suited for those looking to master big data processing using Spark and Python.
What prerequisites do I need before enrolling?
You should be at least 16 years old, possess high-school–level English proficiency, and have basic internet and computer skills.
What is the duration and format of the course?
The training spans 2 days, totaling 14 hours.
What will I learn by the end of the course?
A minimum of 75% attendance is required to complete the course and receive the course completion certificate
What will I learn by the end of the course?
You’ll learn how to set up your Python environment, process large datasets, manipulate data to derive statistics and visualizations, and deliver interactive insights using Spark and Python.