Big Data Analysis With Python Training Course

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

12657363 (1)

Above 16 years old

12657357-1 (1)

High School Level English

5110837 (1) (1)

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
Lesson 5: Handling Missing Values And Correlation Analysis

See how MOCD Studio’s courses help our students grow and succeed

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Daniel Tan 2 weeks ago
★★★★★

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.

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Amanda Lim 1 month ago
★★★★★

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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Ryan Ng 2 months ago
★★★★★

The course material was well-organized, covering key areas such as Excel interface, data entry, formulas, and reporting. It made learning structured and effective.

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Stephanie Wong 3 months ago
★★★★★

The trainers were not only highly skilled in their subjects but also provided personalized assistance, making complex concepts easy to understand.

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M
Marcus Lee 5 months ago
★★★★★

MOC Studio offers both online and offline training options, allowing students to choose according to their convenience and learning preferences.

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D
Daniel Tan 2 weeks ago
★★★★★

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.

G
A
Amanda Lim 1 month ago
★★★★★

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.

G

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FAQs — 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.

It is held at 10 Anson Road, 26‑08A International Plaza, Singapore 079903.

A minimum of 75% attendance is required in order to complete the course and obtain the Course Completion Certificate

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 SFEC

For 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.
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