Data Analytics
Learn the fundamental concepts of Data Analytics from expert Data Practitioners in Singapore.
Learn the fundamental concepts of Data Analytics from expert Data Practitioners in Singapore.
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.
"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."
"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."
"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."
✅ 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
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.
✓ 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
ⓘ All applicants will automatically be considered for the scholarship offered by our industry partners to offset the remaining fees after course subsidy.
Hello there! I've been in the Tech field for more than 6 years and have also helped launch five different web3 projects. I first started teaching courses in 2018 and have never looked back since!
Day 1
Date: 16 April 23 (Sun), 10am to 5pm
Location: Zoom
Day 2
Date: 23 April 23 (Sun), 10am to 5pm
Location: Zoom
Day 3
Date: 30 April 23 (Sun), 10am to 5pm
Location: Zoom
• 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?
• Navigating Jupyter Notebook
• Writing first programme
• Data Types
• Variables assignment
• List manipulation
• Conditional statements
• Dictionary manipulation
• Defining functions
• 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
• 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
• 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
• Exploring Solana python web3 SDKs
• Retrieving data with client JSON RPC APIs
• Exploring Ethereum python web3 SDKs
• Retrieving data with client JSON RPC APIs
• Creating dashboard with DASH
Register for the April cohort now!
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