Big Data Analysis With Python Training Course

The Big Data Analysis with Python course helps you build a solid foundation in Python programming and basic statistics — essential skills to kickstart your journey toward becoming a confident and effective data analyst.
2 DAYS
Course Days
14 HOURS
Course Duration
9:30 AM - 5:30PM
Course Timings
VENUE
10 Anson Road, 26-08A International Plaza, Singapore 079903
Course Start Date
Big Data Analysis With Python
This course is intended for Python developers, data analysts, and data scientists who work with large data sets.
You will learn how to process big data with Apache Spark and Python.
We will go through all the stages from data transformation, through to building robust and interactive visualizations.
It is practical, pragmatic, and focused on real-world use cases.
You should expect to move from raw data to clear insights.
What will you learn?
By the end of this course, you’ll be able to set up your own Python environment, work with large datasets, and transform raw data into meaningful statistics, metrics, and visualizations.


Learning Objectives
Use Python to read and transform data into different formats
Generate basic statistics and metrics using data on the disk
Work with computing tasks distributed over a cluster
Convert data from various sources into storage or querying formats
Prepare data for statistical analysis, visualization, and machine learning
Present data in the form of effective visuals
Who Should Attend Big Data Analysis With Python Workshop
Big Data Analysis With Python Training Course is ideal for those who want to become data analyst
Analyst
Turn insights into strategy
Business professionals
Drive smarter decisions
Entrepreneur
Innovate with AI power
Training Professionals
Upskill the future workforce
Student
Kickstart your AI journey
Entry Requirements

Above 16 years old

High School Level English

Basic internet & computer operation skills
Course Completion Requirements
Minimum 75% attendance is required in order to complete the course and receive the course completion certificate
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
- Which Tool Should Be Used?
- Types of Graphs
- Pandas DataFrames 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

See how MOCD Studio’s courses help our students grow and succeed
I took an Excel course at MOC Studio, and it was extremely beneficial. The trainer explained everything from basic to advanced features like VLOOKUP, Pivot Tables, and Macros in a simple and easy-to-understand way.
The course fees at MOC Studio were fully covered by SkillsFuture Credit. This is a great opportunity if you are a Singapore resident looking to enhance your skills.
The course material was well-organized, covering key areas such as Excel interface, data entry, formulas, and reporting. It made learning structured and effective.
The trainers were not only highly skilled in their subjects but also provided personalized assistance, making complex concepts easy to understand.
MOC Studio offers both online and offline training options, allowing students to choose according to their convenience and learning preferences.
I took an Excel course at MOC Studio, and it was extremely beneficial. The trainer explained everything from basic to advanced features like VLOOKUP, Pivot Tables, and Macros in a simple and easy-to-understand way.
The course fees at MOC Studio were fully covered by SkillsFuture Credit. This is a great opportunity if you are a Singapore resident looking to enhance your skills.
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Read MoreFAQs — Big Data Analysis With Python
What is the duration and schedule of this course?
The course runs for 2 days (14 hours total), from 9:30 AM to 5:30 PM each day.
Where is the course location?
It is held at 10 Anson Road, 26‑08A International Plaza, Singapore 079903.
What is required to complete the course and receive the certificate?
A minimum of 75% attendance is required in order to complete the course and obtain the Course Completion Certificate
Will real‑world data and hands‑on practice be part of the course?
Yes — the course includes hands‑on training where you process large files, do data transformations, visualizations, and practice with big data frameworks.
ADDITIONAL SUPPORT
For Company
* Eligible companies can reimburse up to 90% of the payable amount via SFECFor Self-sponsor
* Singaporean can offset the payable amount via SkillsFuture Credit (Except Mid Career Credit) and/or PSEA * NTUC Union members can reimburse of up to 50% of the unfunded fee under UTAP Enjoy up to $250 UTAP support. More info: UTAP
Note: minimum 75% attendance & passing all the assessment are required for WSQ subsidy deduction.
Address
10 Anson Road,
26-08A International Plaza
Singapore 079903
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