AI101: Data Analytics and AI with Python

Learn the fundamental concepts of data analytics and artificial intelligence with Python from experienced data scientists in Singapore.

✅  Hybrid instructor-led classes
✅  Basic and intermediate Python concepts
✳️  Build your own data analytics projects on real-world datasets
⭐ Rated 4.8/5 on SwitchUp and Google

Data Science Nanodegree

Data Analytics Nanodegree

Data Science Nanodegree

Earners of this badge have demonstrated proficiency in interpreting big data, implement advanced computational techniques, and utilise linguistic algorithms using Python.

 Earners have completed AI101, AI201, and AI301
 Direct admission into Buidlnaut internship programme
 Increased employment chances
AI101
Data Analytics and AI with Python
⧖    18 instructional hours
△   Beginner level
ⓘ   No prior knowledge required
AI201
Machine Learning and Deep Learning
⧖    24 instructional hours
△   Intermediate level
ⓘ   AI101 or equivalent knowledge
AI301
Natural Language Processing with Python
⧖   24 instructional hours
△   Advanced level
ⓘ   AI201 or equivalent knowledge

Data Analytics Nanodegree

Earners of this badge have demonstrated proficiency in analysing, visualising, and interpreting data, utilising Python, and implementing machine learning solutions.

 Earners have completed DAT101, AI101, and AI201
 Direct admission into Buidlnaut internship programme
 Increased employment chances
DAT101
Data Analysis and Visualisation
⧖   18 instructional hours
△   Beginner level
ⓘ   No prior knowledge required
+
AI101
Data Analytics and AI with Python
⧖    18 instructional hours
△   Beginner level
ⓘ   No prior knowledge required
AI201
Machine Learning and Deep Learning
⧖    24 instructional hours
△   Intermediate level
ⓘ   AI101 or equivalent knowledge

Growing Demand For Data Professionals

Data analysis is a pivotal capability in today's data-driven landscape. Enterprises across sectors and scales leverage data insights to inform strategy, optimize operations, and innovate products. With more data use cases, the demand for proficient data analysts has been increasing.

Below illustrates the monthly salary of a junior data analyst surveyed by Nodeflair in 2023.

$4,000

$4,500

$5,250

30th

Median

70th

Don't just hear it from us

"I had an incredible experience at this course. I never thought that after such a short amount of time I would be able to create a simple web server from scratch. One of the main pros for me have been the attentive instructors."

VICTORIA TEO
Senior UX Consultant

"Attending bootcamp gave me guidance and direction when I was trying to transition into a tech career. Metacamp has great instructors and their lectures were awesome. Coding challenges and projects helped reinforce the concepts. I would highly recommend Metacamp to aspiring software engineers."

ATSUSHI YAMAGUCHI
Tech Presales

"I wanted to learn more about blockchain that I was already interested in but had no idea where to start. Metacamp was the perfect answer. Metacamp is an excellent platform for people to gather, learn, and share their experiences."

lim qi jie
Co-Founder, TableFi

Industry expert instructors from AWS, Microsoft, OKX, ...

Attend live classes online outside of working hours

Graduate with a blockchain-verified certificate

Build and pitch your capstone project during demo day

Dedicated career support and matching with partners

4.8 / 5 ⭐
4.9 / 5 ⭐

Data Analytics and AI with Python Course Details

Metacamp's Data Analysis with Python course in Singapore is crafted to equip learners with cutting-edge methodologies and industry-standard practices in contemporary data analytics, delving profoundly into core Python libraries and functions. Participants will utilise their understanding, undertake various projects designed to tackle specific real-world data challenges.

What to expect?

Learn new concepts and tools through expert-led lectures, discussions, assignments and projects

Complete all assignments and receive a certificate of completion in the form of an NFT at the end of the course

Receive individualised feedback and support from your instructional team with free 1-on-1 consultations

Be part of a community where members can leverage connections with alumni, instructors and experts

Course fee and subsidies

LEARNER PROFILE
SUBSIDIES
FINAL COURSE FEE
Singaporeans aged 40 years and above
70% IBF subsidy
$885
70% IBF subsidy + $885 SFC
$0
Singaporeans aged below 40 years
50% IBF subsidy
$1475
50% IBF subsidy + $1000 SFC
$475
Permanent Residents (PRs)
50% IBF subsidy
$1475
Others (non-Singaporeans and non-PRs)
N/A
$2950

IBF Subsidy

Original Fee

Final Fee

$885
70%
$2950

Singapore citizens aged 40 and above

$1475
50%
$2950

Singapore citizens below 40 and all PRs

$2950
0%
$2950

Foreigners

ⓘ All Singaporeans aged 25 years old and above can use their SkillsFuture Credits to offset the remaining fees after funding.

ⓘ All Singaporeans aged 25 years old and above can use their SkillsFuture Credits (SFC) to offset the remaining fees after funding.

Data Analytics and AI with Python Course Schedule

The schedule for this course is currently unreleased on our website. We encourage you to join our waitlist so that you will be prioritised and notified once our schedule is out. Feel free to reach out to us via email at team@metacamp.so for any enquiries!

Data Analytics and AI with Python Course Curriculum

Module 1: Introduction to Data

This module introduces the vast world of Big Data, explaining what it is, why it's valuable, and how it differs from other data types. We'll also touch on the tools used in data analysis and why Python is a top choice.

Module 2: Python Fundamentals

We start by exploring Jupyter Notebook and then move on to write our first program. We'll play around with different data types, understand how to assign and change data, and experiment with basic string and list tricks.

Module 3: Python Advanced

In this module we will work with more loops, learn to direct our program's flow, and get our hands on lists and dictionaries. There's also a focus on creating our functions and finding and fixing bugs in our code.

Module 4: Complete Pandas and NumPy

In this module we will dive into two powerful Python tools: Pandas and NumPy. These help us handle and analyse data, from basic explorations and adjustments to more complex actions like combining different sets of data.

Module 5: Data Analysis with Python

In this module, we'll make our data presentable by learning to draw charts and graphs. We'll adjust them to show what we want and explore different ways of presenting data, making it easier to understand and share.

Data Analytics and AI with Python Course Projects

Learners will practice on the concepts taught in class by working on real-world tech projects. These projects are done at learners' own time, outside of instructional classes. Below are the projects learners can expect to complete and add into their portfolio at the end of the course, subject to revisions.

1
Fintech Payment Dataset
2
E-Commerce Transaction Dataset
3
Google App Store Dataset
4
Dataset of Your Choice!
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