Does this sound familiar to you?

Common challenges faced by aspiring data professionals

  • I am super motivated to learn but I feel overwhelmed by all the different online courses, tutorials and resources to choose from

  • I don't know how to build a portfolio that can showcase my technical skills and impress future employers and recruiters

  • I have little to no access to professional mentors in my current company or network and struggle to make the right connections

  • I need more realistic hands on experience to improve my skills in data analytics, data visualization and machine learning

  • I want to know which languages and technology I should focus on so I don't waste time learning the wrong thing

  • I need guidance on my journey to become an outstanding data professional who can make a huge impact in this world

About Me: Danny Ma

What makes me the right person to help you?

I faced these exact same challenges when I was starting my own data journey almost 8 years ago.

I managed to overcome these barriers but I definitely didn't do it all by myself.

I was lucky enough to be mentored by some of the best data analytics and machine learning practitioners in Australia.

We worked together to deliver complex end to end data projects across various domains including digital marketing, banking, financial markets and consumer goods.

I believe my journey to where I am today was made possible only through my extended apprenticeship under these expert mentors.

I want to provide you with a similar mentorship experience and be your personal guide on your journey to complete data mastery.

Strong Technology Focus

Learn the tools and technology that will help you make the most impact

  • python-icon
  • R-programming-icon
  • sql-icon
  • github-icon
  • docker-whale-icon
  • julia-programming-language
  • google-cloud-platform
  • amazon-web-services
  • microsoft-azure

Learn & Retain Skills Effectively

Project Based Data Apprenticeship

My goal is to provide you with the exact training materials I would happily use for my own interns and new starters who join my very own data teams.

But I believe that learning technical skills is just one part of the puzzle.

Research shows that we learn much more deeply the things which we teach.

One of the most highly sought after skills in the industry is the proven ability to learn new things and teach others.

Heavy focus is provided on the presentation of new skills learnt to demonstrate high levels of proficiency to impress future employers.

Over the course of multiple end to end data projects, you will increase your proficiency in the following technical skills and build up a well-rounded project portfolio that will help you stand out from your competition.

Core Technical Focus Areas

  • SQL Fundamentals
  • Advanced Data Analysis
  • Data Problem Solving
  • Data Visualization
  • Data Storytelling
  • Presentation Skills
  • Experimentation Design
  • Statistical Learning
  • Time Series Forecasting
  • Web Scraping
  • Data Structures
  • Algorithms
  • NLP & Text Mining
  • Machine Learning Pipelines
  • Deep Learning
  • Probabilistic ML
  • Version Control
  • Docker Containers
  • Cloud Computing
  • Serious SQL is Now in Live!

    A complete guided learning path for your data journey

    Recommended By Experts

    “Danny has a generational ability to explain complex concepts in simple terms. I firmly believe he can make machine learning understandable to anyone.

    During my interview with him, I was amazed at his dedication to personal growth and the the focus on the success of his students. I could listen to him speak about data for hours!”

    “When facing an uncharted landscape, it's best to hire a guide. When facing a rapidly changing and advancing landscape you need a guide.

    Data science is exactly such a landscape, and Danny is a great guide who clearly deeply cares for members of the data community.

    So you might be asking - why do I need to pay Danny when there are so many free learning materials? You can only get so far with educational materials - what you need is a good mentor.

    Danny interacts with his students to help them grow fast and efficiently. For a low charge you gain that extra data science growth coaching from a highly seasoned practitioner who truly cares!”

    “Danny has been a great source of inspiration for me. When Danny speaks on podcasts or gives talks, I always listen to him. And every time he says something, I have to pull out my notebook and take notes. This information is simply too valuable, I cannot just rely on my brain to retain it.

    Luckily, Danny is now putting all his knowledge into a series of courses, so everyone can benefit from his experience in an easy-to-access way. Don't miss that chance!”

    Mentee Testimonials

    “Danny is an excellent mentor who goes above and beyond in every thing he does. No matter how busy he is, he’s always on top of answering all my questions 1-1 and gives ton of importance to ensure I can always ask him for help.

    Danny also was super supportive and provided ample guidance to help me navigate my job search during the pandemic.

    I continue to get inspired and learn something new everyday from him. Danny is extremely kind, compassionate with a truck load of knowledge - the definition of a true unicorn!”

    Senior Business Analyst

    Nandita Nandakumar
    New York, USA

    “I cannot recommend Danny enough. He is the best mentor I have come across. He is so supportive and pushes you to do well.

    He gives his all to ensure that you get the correct advice and amazing resources to learn from on your data journey.

    I think he is on a mission to help people and encourage them to make progress.

    It is inspiring to see his passion towards data and the way he helps people. We need more people like Danny in the data community.”

    Data Scientist

    Ayush Agarwal
    Mumbai, India

    “Danny has put hundreds of hours of thought into his courses, and it shows.

    I feel grateful to be working with someone who has thoroughly considered every aspect of what it takes to break into data analytics and data science -- including the importance of soft skills and creating a portfolio.

    I can confidently say that he leaves no stone unturned when it comes to helping his mentees develop and demonstrate their ability in the most effective way possible, and can't speak highly enough of his goal to make courses accessible for all levels.

    Despite starting my study at a beginner level, I feel confident that I can learn and retain new skills, apply them in real-life situations, and further develop the knowledge I have gained through Danny's mentorship.”

    Graduate Student

    Rowan Schaefer
    Kentucky, USA

    FAQ

    • Do I need a background in maths and stats to join?

      No! I will show you how simple it is to get started on your data journey with zero background knowledge and will get you up and running, answering business questions and solving problems with data right from the very beginning!

    • Do I need a powerful computer to work on these courses?

      No! But you should have a machine with minimum 4GB of RAM on Windows 10 Home or MacOS 10.13 or newer (High Sierra, Catalina or Mojave)

      Linux support is also provided for Ubuntu Focal 20.04, Bionic 18.04 or Xenial 16.04

    • How long will each course take to complete?

      Honestly this will vary from person to person based on existing levels of experience and the amount of time you can commit.

      The best estimates at this stage would be roughly 4-12 weeks per course.

      Each course will cover the fundamentals required to learn from specific skills and tools from scratch and will quickly progress you through to the implementation of fast-paced case studies and additional bonus content.

    • Additional questions?

      Please send an email to [email protected] with any additional questions!