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Begin your journey with Artificial intelligence by Learning Applied Data Science step by step through intense hands-on exercises.

Gain fundamental knowledge of Data Engineering, Management, Analysis, Machine Learning, Visualization and more in this intensive course full of practical and real-life projects.



   Training for your business?

TIME
Mon - Fri
16 weeks
09:00 - 18:00
PREREQUISITES
None, but Basic Programming Encouraged
CAREER PATHWAYS
Junior Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer, BI Associate

Overview


This Full Time Immersive Data Science & Machine Learning Bootcamp is designed for students with a burning desire to compound data-science knowledge in the A.I. industry. In this 16-week immersive bootcamp, you will learn the building blocks and tools that will empower you to tackle, build and deploy machine learning projects. You will learn to use Python , Scikit-learn, Keras TensorFlow and Tableau to collect, lean and transform data to gain valuable insights and perform data Visualizations. You will develop the practical skills necessary to work in a job requiring the implementation of deep learning tools and techniques.

The classroom and learning environment is designed to be practical and allow students to quickly apply their new skills to real world problems and work with real dataset. At the end of the program, students can expect to be able to build impressive, portfolio-ready A.I. projects that will demonstrate their ability to add value to their next job as a full-stack data-scientist.

This 16-week, intensive in-person bootcamp is for those who are committed to having tangible, job-ready skills upon graduation. Whether you want to kickstart a career as a data scientist or enhance your current career path with A.I. knowedge, this "learn by living it" method will have you prepared. While many PHDs claim to spend much of their time engulfed in theory and self-study practitioners struggling between time and subject management, your 600 hours with Xccelerate will be spent on effective practical learning to build a career in one of the most exciting fields in technology: Artificial Intelligence.

Benefits & Outcomes


  • Successfully understand and execute on all steps of a complex Data Science project
  • Present Data Science projects to stakeholders
  • Understand Data science, Artificial intelligence and related career tracks.
  • Create a Simple Linear Regression (SLR)
  • Master Supervised and Unsupervised learning algorithms.
  • Read a Confusion Matrix and various techniques to evaluate your model
  • Be able to use Scikit-learn for Regression and Classification.
  • Perform Data Mining in Tableau
  • Image recognition and transfer learning
  • Master Recommender systems and NLP
  • Understand Databases - Design, Modeling , ETL and Warehouses
  • Have loads of challenges and fun working with your colleagues on projects!
  • Learn about Python , Scikit-learn, Keras, TensorFlow,AutoML, pyspark, SQL and Tableau
  • Understand Data science - Big picture and Industry use cases
  • Explore and Clean data looking for anomalies
  • Create a Logistic Regression
  • Understand Bias and Variance Tradeoff
  • Understand Statistics and Math required for Data science
  • Create Basic Tableau Visualisations
  • Understand the Fundamentals of Deep learning
  • Azure machine learning and Google Cloud vision API
  • Be familiar with AI in the cloud - using GCP, BigQuery and Azure platforms
  • Perform Real time analytics

What you'll learn


Our learning style focuses on building passion, imagination and critical thinking across all of our students. This section will break down, in details, the outcomes per week for each student as well as a description of the projects covered

Unit 1 :

We recommend you request a syllabus for full course details

"Coding for Absolute Beginners Guide"

Data Science & Machine Learning Immersive

HKD 45,000

Invalid date | 16 weeks

Mon - Fri 09:00-18:00

Career pathways

After graduation, you can be Junior Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer, BI Associate

The Classroom

A day at Xccelerate could look like this
  • Warm up
    Doing Revision from Previous Day
    9:00
  • Learn
    Learn concepts, syntax etc, examples of application
    10:00
  • Apply
    Collaborate with cohorts on interesting projects
    11:00
  • Lunch
    Take a break and absorb everything you've learned
    12:30
  • Create
    Hands-on Exercises to reinforce what you have learnt in the class or Explore related topics
    16:00

Sample Projects

  • Recommender Systems : Create Recommender Systems to Recommend Movies
  • Text Mining : Use your Knowledge of Machine Learning Models to do Sentiment Analysis
  • Image Recognition: Train Models to Recognize Images using the Power of Deep Learning
  • Use Pre-trained Models to recognize Images. Explore Newer Techniques to Recognize and Detect Objects and Faces in Images and Videos.
  • Meet your Instructors and Support Team

    Course Fees

    Standard Fee

    Standard Tuition Fee


    Our Campus

    What do Students say about us

    "Before Xccelerate I was the founder of a startup. I was doing a lot of machine learning and data science related freelance. Even before I was doing that I was working at a hedge fund in London. I came to Xccelerate because I had experience in the field but wanted to refine my knowledge.", Andy Wang, Data Scientist at Graphen

    "I love to explore the journey of Data Science and Machine Learning here. During the several of weeks, I've experienced a fascinating journey of Data Science and Machine Learning. It's unexpected to have exploration on the technology. I found those packages of technique, like python, supervising learning, even supervising learning are practical and useful to implement in my business from now on. It's worth to spend the several of weeks on learning a new insight of STEM here!", Jamie Leung, Current Student

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