Data Analytics

Learn the fundamental concepts of Data Analytics from expert Data Practitioners in Singapore.

Current: 10

Max: 15

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✅  Hybrid instructor-led classes
✅  Basic and advanced Data Analytics
✳️  Beginner-friendly, zero background knowledge required
⭐ Rated 4.81/5 on SwitchUp reviews

Data Analytics Skills Command A Salary Premium

With the rise of data analytics applications, it is crucial to learn how to leverage on data analytics to extract useful information from large amounts of data and integrate business expertise with knowledge of data, to derive actionable insights.

Learn important rust concepts: python, data structures, functions and abstractions, python libraries, data manipulation, machine learning, SQL and more advanced topics such as natural language processing and data mining.

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

"Going into this program I barely knew what Blockchain was. I am very glad I picked Metacamp, they have taught me a ton in a very short amount of time. The instruction is amazing, and if you put in the effort and time you will be rewarded."

Muhammad zikry
DISTRIBUTED COMPUTING SPECIALIST

"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

Small cohorts with 1 teaching staff for 10 students

Practice on industry relevant projects with like-minded peers

Get live feedback from teaching staffs to never be stuck

Keep lifetime access to Metacamp's learning resources

Build and pitch your capstone project during demo day

4.81 / 5 ⭐

Data Analytics Course Details

Metacamp's Data Analytics course is designed to equip individuals with the most in-demand skills and best practices in data analytics, covering core concepts: python, data structures, functions and abstractions, python libraries, data manipulation, machine learning, SQL and more advanced topics such as natural language processing and data mining. Participants will culminate their learning by developing a capstone project to solve a real-world problem in the fintech industry.

This data analytics course is beginner-friendly. No prior background or experience is required.

What to expect?

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

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

Meet your instructor

Vincent Leow

Blockchain & Full-Stack Developer

Hello there! I've been in the Tech field for more than 5 years and have also helped launch five different web3 projects. I first started teaching courses in 2019 and have never looked back since!

Data Analytics Course Schedules

Day 1
Date: 8 January 2022, 10am to 5pm
Location: Zoom

Day 2
Date:  15 January 2022, 10am to 5pm
Location: Zoom

Day 3
Date:  22 January 2022, 10am to 5pm
Location: Zoom

Data Analytics Course Curriculum

Module 1: Introduction to Data Analytics

• Self Introduction
• What is Big Data
• Characteristics of Big Data
• Economic benefits of Big data
• Different types of Analytics
• Data Analytics use cases
• Tools and Software
• Why Python?

Module 2: Python Fundamentals

• Navigating Jupyter Notebook
• Writing first programme
• Data Types
• Variables assignment
• List manipulation
• Conditional statements
• Dictionary manipulation
• Defining functions

Module 3: Complete Pandas and Numpy

• Creating NumPy arrays
• NumPy vectorisation
• Manipulating data in NumPy
• Calculating statistics with NumPy
• Boolean techniques with NumPy
• Preliminary exploration with Pandas
• Manipulating data in Pandas
• Frequency analysis in Pandas
• String manipulation in Pandas
• Configuring Pandas table
• Handling null values
• Applying row-wise functions
• Merging multiple dataframes

Module 4: Data Visualisation with Python

• Plotting basic charts on matplotlib
• Modifying axis, labels and title
• Plotting multiple plots
• Adding color and create legend
• Bar plots
• Histogram
• Box plots
• Kernel density plot
• Setting style and despine
• Conditional plotting
• Overlaying plots

Module 5: Data Analysis with SQL

• Selecting and filtering data based on criterias
• Showing unique values
• Order values by columns
• Counting number of instances
• Group and aggregate data on columns
• Merging tables
• String functions and operators
• Mathematical functions and operators
• Subqueries
• Case statement

Module 6: Solana Blockchain Analysis

• Exploring Solana python web3 SDKs
• Retrieving data with client JSON RPC APIs

Module 7: Ethereum Blockchain Analysis

• Exploring Ethereum python web3 SDKs
• Retrieving data with client JSON RPC APIs

Module 8: Dashboard Web App Development

• Creating dashboard with DASH

Registration for our January cohort coming soon!

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