Learn the fundamental concepts of data analytics and artificial intelligence with Python from experienced data scientists in Singapore.
Data Science Nanodegree
Data Analytics Nanodegree
Earners of this badge have demonstrated proficiency in interpreting big data, implement advanced computational techniques, and utilise linguistic algorithms using Python.
Earners of this badge have demonstrated proficiency in analysing, visualising, and interpreting data, utilising Python, and implementing machine learning solutions.
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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
✅ Data expert instructors from AWS, Grab, ...
✅ Attend live classes online outside of working hours
✅ Graduate with a blockchain-verified certificate
✅ Assess AI projects and pitch one during demo
✅ Dedicated career support and matching with partners
"The instructor is very patient and experienced in helping us (me) with the codes i made mistakes and he can explain it in layman's terms if I am unsure. Thankful to be studying with Metacamp, which has recordings for review and getting through the sessions to help with the assignments... I would camp with Metacamp again and again!"
"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."
"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."
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.
✓ 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
ⓘ 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.
Metacamp's teaching staffs are experts in their own field and are vetted through a rigorous selection process consisting of interviews and technical tests.
Whether you’re an established entrepreneur or an aspiring tech professional, we provide an environment that's optimal for your growth.
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.
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.
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.
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.
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.
In this module, we'll first understand basics of API and how we can use Python to call external APIs. We then move on to learn how to operate OpenAI's API, and practice by creating a custom chatbot from scratch.
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.
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