Data Analytics Using Python Training Course
Data analytics is the process of examining raw data to uncover meaningful insights that support smarter business decisions. The Data Analytics using Python course covers key aspects of the analytics workflow—including data analysis, exploratory data analysis (EDA), model building, and data visualization—using powerful Python libraries.
2 DAYS
Course Days
16 HOURS
Course Duration
9:30 AM - 5:30PM
Course Timings
VENUE
10 Anson Road, 26-08A International Plaza, Singapore 079903
Course Start Date
Learn How to Turn Information into Insights About the Course
These are the important outcomes that learners will get:
Learn techniques to get data from different sources
Learn how to analyze and make sense of data from a business perspective
Learn how to clean data in Python
Learn the functionalities of the pandas library
Learn how to create data models required for analysis
Learn exploratory data analysis using python
Learn how to formulate KPIs based on business cases.
Learn how to plot complex visualizations
Learn how to get key insights from data
Begin your Data Analytics career with us
What You’ll Learn
Data Analytics using Python is a mid-level course designed for learners who want to work with data more effectively. You’ll gain hands-on experience in data wrangling, manipulation, statistical analysis, and creating visualizations using Python.
After completing this course, you’ll be well-prepared to move on to advanced topics, including machine learning with Python.
Course Prerequisites
Basic Python knowledge is compulsory and recommended to join the Python for Data Science Course before joining this course.
Who Should Attend Big Data Analytics Using Python Workshop
Data analytics using python is ideal for who want to become data analyst or data scientist.
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
Data Analytics Using Python Course Outlines
Module 1
The objective of this module is to learn how to extract data from external sources into the Python environment and manipulate and analyse data. You should use statistical algorithms and methods to analyse data before creating any data analytics project.
- Learn Python packages for data manipulation
- Learn Importing and Exporting datasets
- Learn the Basics of analyzing the data
Module 2
The main objective of this module is to learn Data Wrangling. Python libraries can enable you to deal with data inconsistencies and issues. Almost 80% of data scientists and engineers spend their time. This is where 80% of today’s data scientists and engineers spend their time on this.
- Learn how to deal with data issues and preparation
- Learn Data Formatting and conversions in Python
- Learn how to work with Pandas
Module 3
The goal of this module is to learn exploratory data analysis. Exploratory Data Analysis (EDA) is a process to analyse the data using visual techniques.
- Execute detailed statistics with Python
- Learn Correlations, Scatter-plots, and charts with Matplotlib
- Learn data analysis with respect to various business scenarios
Module 4
The main goal of this module is to learn Data Visualisation, metrics, KPIs of different business cases for data analysis.
- Learn basic metrics and KPIs
- Learn Visualizations using Python (Seaborn, Folium)
See how MOCD Studio’s courses help our students grow and succeed
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Read MoreFrequently Asked Questions (FAQ)
What is the “Data Analytics Using Python” course?
It’s a 2‑day (16 hours) hands‑on training in Singapore. You’ll learn how to analyse real data using Python libraries, do exploratory data analysis, build models, visualise data, and turn raw information into insights.
Who should attend?
This course is for people who want to become Data Analysts or Data Scientists, IT professionals, students, or anyone working with data, who have some Python experience and want to upskill into more in‑depth analytics.
What are the prerequisites?
Basic knowledge of Python is required. Must be above 16 years old. High school level English proficiency. Basic computer & internet operation skills.
Where and when is the course held?
Location: 10 Anson Road, 26‑08A International Plaza, Singapore 079903 Timing: 2 days, 9:30 AM to 5:30 PM each day.
What is the course level?
This is a mid‑level / intermediate data‑analytics with Python course. It assumes that you already have some basic Python ability.
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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