Welcome to the future
of Data Science -

No coding required.

Have you always wanted to learn machine learning and AI, but been afraid of needing to learn programming?

Do you have a world changing business idea, but lack the skills to bring it to life?

Or, is your company behind the times, and missing the talent to execute a digital or data transformation?

You don’t have to wait any longer.

We’ve put together the world’s first no code data science course, giving you complete, end-to-end skills including web harvesting, data visualization, data science, cloud computing, spatial analysis, geospatial analysis, and website building.

Now everyone can harness the power of data science - no coding needed.


Why "No Code"?

Data science is powerful, but programming is hard. There’s a great deal of interest in learning and applying machine learning and AI, but the number one thing holding people back is needing to learn to code (e.g., in Python, R, or C++) in order to use these techniques. Achieving programming proficiency can be difficult and take a long time. Even for experienced programmers, implementing data science models manually using code can be slow, frustrating, and error prone.

The good news is that technologies have recently advanced to the point where you can get all the power and advantages of machine learning without needing to learn to (or use) code. Our PhD data scientist instructors will teach you to use market-leading no code platforms. You will be able to produce industrial strength machine learning models and analyses, without needing to suffer through learning to code.

You can now harness all the power of AI, without needing to program.


What You Will Learn

  • Gain in-demand, highly sought after skills - be able to apply machine learning and AI to real world data sets in any industry.

  • This complete, end-to-end course will empower you to take a data science product or service idea from inspiration to reality; you’ll be able to build an AI-driven startup without a technical CTO.

  • Jump start your firm’s data and digital transformation efforts - understand what’s possible, and have the skills to implement these initiatives yourself.

  • Learn data visualization (Tableau), cloud computing (AWS / GCP), data science, spatial analysis (ArcGIS), chatbots, web harvesting (Octoparse), and website building (bubble.io) - all without needing to code.

Use Cases

  • Use data about sales prospects to identify which ones are more likely to become paying customers.

  • Build data-driven predictions of real estate, commodity, or equity prices to make better investment decisions.

  • Identify and proactively avoid downside risks e.g., loan default, fraud, or machine failure.

  • Monitor and improve company performance by building interactive real time data dashboards.

  • Never miss another datapoint. Use web scraping to keep track of developments anywhere in the world. Gain market insight by comprehensively aggregating transaction prices, auction bids, product data, social media posts, news articles, and more.

  • Instantly convert audio recordings to text. Convert huge numbers of documents across languages with just a few clicks. Automatically gather and analyze social media and news to identify themes and sentiment.

  • Identify objects and faces in pictures and videos - build a security application, or catalog and find the most relevant content from a database.

  • Build a chatbot to scalably elevate customer experience.

  • Find the best location to open a new retail store, or develop a new condominium. Or, build interactive maps for government decision making on public health, defense, or infrastructure.

  • Build a fully working minimum viable product (MVP) website for a data-driven startup.

Why Do This Course?

  • Gain data science skills quickly and easily - no need to fuss with or struggle with programming.

  • Learn directly from PhD Data Scientists. Our default option is live video conference classes. You can ask questions in real time, share your screen, and work on exercises in class.

  • Gain the skills to use industry-leading, in-demand software and services to produce cutting edge AI and machine learning analyses.

  • Work hands on, with a great deal of live support (including help with setup, assignments, tutorials, chat-based questions and answers, preparation for the project, and a live project presentation).

  • Join a community of data scientists - gain lifetime access to our private chatboard where you can network with current and future participants.

  • Produce a tangible capstone project that can be a startup MVP, a data dashboard for your company, or part of your portfolio to show potential employers. All with guidance from our instructional team.


Course Outline

Topic Software / Platform
1 Course Introduction, Data visualization & Dashboards Tableau
2 Web Harvesting Octoparse
3 Regression analysis, Cloud computing GCP / AWS / RapidMiner
4 Classification GCP / AWS / RapidMiner
5 Text & Chatbots BotDistrikt / wit.ai / Dialogflow / GCP / AWS / Integromat
6 Image & Video recognition GCP / AWS
7 Geospatial data science ArcGIS Online
8 Web development Bubble.io
9 Final Project Presentations

Instructors

Nelson Lau, PhD, CFA

  • CEO of PropertyQuants, a company applying Machine Learning to Real Estate

  • Extensive experience building and deploying AI-driven investing models at trading firms

  • Instructor at Singapore Management University (SMU) & National University of Singapore’s Asian Institute of Digital Finance (NUS AIDF)

    •
Xingzhi Cheng, PhD

  • CTO of PropertyQuants

  • Significant experience building quantitative research frameworks at trading firms, and developing data-driven mobile apps and websites

  • Instructor at NUS AIDF

    •
Munish Kumar, PhD

  • Geoscientist (Petrophysicist) at ERCE

  • More than 12 years of experience applying data science in the oil & gas industry

  • Instructor at the Singapore University of Social Sciences (SUSS)

    •
Yi Peng Neo

  • Quantitative researcher at the Government of Singapore Investment Corporation

  • Real world experience applying machine learning methods to extract trading signals

  • Conducts courses at SMU

    •
Abhilash Murthy

  • CEO & co-founder at BotDistrikt, an AI Chatbot SaaS platform

  • Executed software development for multiple high volume chatbots

  • Runs lectures for industry and academia about chatbots

    •

Ready to get started?

Complete the form below to express your interest in our course. You’ll receive our full course brochure, and we’ll be in touch to share additional information and pricing details.
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Have Questions?

Interested in learning more about our program? Check out our FAQ, or e-mail hello@thenocodecourse.com for more information.

The No Code Course is a division of PropertyQuants Pte. Ltd.

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