Project Description

Data Science

Global Trainee Work from Home Internship Programme

Course ID – GKA-045

Who is this Internship Programme for?

The internship programme is available in two options for the following candidates.

  1. 4 weeks only for those with strong Python skills and intermediate level familiarity with Data Science tools and concepts.
  2. 8 weeks this is the recommended programme for all participants and is available for both:
  1. those who have python skills but no Data Science background but yet are serious about making a career in the field.
  2. those with no python skills. The first three weeks of the programme are spent in learning Python and the balance five weeks on developing Data Science skills.

By having Python skills, we refer to candidates who have actually done coding in Python and are well versed in it and not those who have just completed a theoretical course.

What is the benefit of this Internship Programme? Is it a course?

This is not a course, there are no theory classes. This is an Internship Programme where participants would be given weekly tasks that they will solve with full support and guidance from their International Mentor through live weekly sessions.

The International Mentor is an award winning, industry expert who has worked as Lead Data Scientist with prestigious global organisations like GE Research and Microsoft.

Participants are provided the following by their Mentor through live weekly sessions:

  1. regular feedback on work done
  2. personalised query resolution and guidance
  3. weekly handouts, video notes, etc to help solve the tasks

This support by the Mentor not only helps participants in successfully completing the weekly tasks but also helps the participants to:

  1. gain deep understanding of key Data Science concepts and fundamentals
  2. develop expertise in the area through intensive practice on live data sets

Internship Programme Objective

Develop such a level of competency in participants that they can apply for paid freelance opportunities in Data Science and hence, take the first steps towards building a successful career in the field.

This Internship Programme along with the freelance projects would help participants build a strong profile and gain experience that would help them enter the world of Data Science.

Certificates

  1. Internship Certificate from Sloan Technologies FZCO, UAE (the Data Science division of Ureka Education Group, UK)
  2. Certificate of Achievement from Ureka Education, UK
  3. Certificate of Achievement from Global Knowledge Alliance , Australia

Post Internship Opportunities

Meritorious, top performing interns may be offered paid roles in the Data Science division of Ureka UK or any of its group companies.

Submit Application

Data Science

Global Trainee Work from Home Internship Programme

Course ID – GKA-045

Internship Summary What all would be included in the Internship?

  • Learn about Real-world Machine Learning & the Challenges (look beyond just fit and predict).
  • Build Strong Fundamentals Derive Logistic Regression equation; Understand cross validation; Why is one hot encoding required? Non-Parametric Models (Trees) vs Parametric models; How non-linearity works? What are vanishing gradients? What is the difference between Generative and Discriminative models? What is curse of dimensionality? and more.
  • Solve unstructured text conundrums, tf-idf, word-vector embeddings, and more.
  • Solve interesting problems using a variety of interesting structured and unstructured datasets. For example, create topic models for an open Airbnb dataset and then rank the clusters.
  • In light of rapid advancements in Auto-ML, get motivated to learn, unlearn and relearn. Guidance and Help with picking up complementary skills like Search, Distributed Systems, Real Time Analytics, Machine Learning on Cloud, DevOps in Data Science, Machine Learning in production and more
  • Exclusive interactive session with a reputed Data Scientist from the Industry.
  • What to expect in Data Science interviews?
  • Handouts (Ureka Notes & Videos) helpful to solve the internship task for the week
  • Team Exercises and Collaborative Work throughout the internship.
  • Soft skills for Data Science professionals.

Team Collaboration

Interns would be divided into small groups for non-mentored team exercises and collaborative work to be done each week.

Specific Details – Internship

Position Offered: Global Trainee Data Science

Company: Sloan Technologies FZCO (Ureka Group Company)

Project Title: Data Munging, Modelling and Storytelling on Heterogeneous Datasets

Weekly Effort: 40 (or more) hours per week including live mentoring sessions, feedback sessions, group work and individual work to be done to complete the weekly assignments.

Participant Profile

Participants from some of the most prestigious universities have enrolled for our Internship Programmes, these include:

University of California, Los Angeles, USA

University of MONS, Belgium

Khalifa University, Abu Dhabi, UAE

Zayed University, Abu Dhabi, UAE

University of Sharjah, UAE

Indian Institute of Technology (IIT) Delhi, India

British University in Dubai, UAE

University of Windsor, Ontario, Canada

Stratford University, VA, USA

University of Birmingham, UK

Kingston University, London, UK

Hong Kong Baptist University, Hong Kong

and 30+ other institutions.

Thus, providing amazing opportunities for networking and working together during group exercises and sharing an impressive Ureka alumni network for lifelong benefits.

Sample Weekly Schedule for 8 Weeks Internship with Python Skills

Week 1

Day 1 (60 120 minutes)

Welcome Session & Introductory Meeting

Day 2 (60 120 minutes)

Orientation and Deep Dive with the Mentor

Internship Task 1 – Data & Problem Statement

Submission Deadline Task 1 


Week 2

Day 1 (60 120 minutes)

Week 1 Recap & Task Feedback

Day 2 (60 120 minutes)

Internship Task 2, Data and Problem Statement,

Handouts (Ureka Notes & Videos) helpful to solve the task for the week will be provided.

Day 6 (60 120 minutes)

Non-mentored, Group Collaborative Work – discussion and presentation of the internship task within your group.

Submission Deadline Task 2

Week 3

Day 1 (60 120 minutes)

Week 2 Recap & Task Feedback

Day 2 (60 120 minutes)

Internship Task 3, Data and Problem Statement,

Handouts (Ureka Notes & Videos) helpful to solve the task for the week will be provided.

Day 6 (60 120 minutes)

Non-mentored, Group Collaborative Work – discussion and presentation of the internship task within your group.

Submission Deadline Task 3

Week 4

Day 1 (60 120 minutes)

Week 3 Recap & Task Feedback

Day 2 (60 120 minutes)

Internship Task 4, Data and Problem Statement,

Handouts (Ureka Notes & Videos) helpful to solve the task for the week will be provided.

Day 6 (60 120 minutes)

Non-mentored, Group Collaborative Work – discussion and presentation of the internship task within your group.

Submission Deadline Task 4

Week 5

Day 1 (60 120 minutes)

Task 5 – State of the art in Data Science

During this week the students will choose a topic of their interest* from state of the art in Data Science, understand the fundamentals, the applications and how things work under the hood and will present on their research.

*Example Topics: Modern NLP based Question & Answering system using BERT or a variant, Transfer learning to detect human activities (for example, dancing, swimming, playing basketball etc.) from videos (the way they do on Tiktok kind of applications), Latest on applying deep learning on time series problems etc.

Day 6 (60 120 minutes)

Non-mentored, Group Collaborative Work – discussion and presentation of the internship task within your group.

Submission Deadline Task 5

Week 6

Day 1 (60 120 minutes)

Week 5 Recap & Task Feedback

Day 2 (60 120 minutes)

Internship Task 6, Data and Problem Statement,

Handouts (Ureka Notes & Videos) helpful to solve the task for the week will be provided.

Day 6 (60 120 minutes)

Non-mentored, Group Collaborative Work – discussion and presentation of the internship task within your group.

Submission Deadline Task 6

Week 7

Day 1 (60 120 minutes)

Week 6 Recap & Task Feedback

Day 2 (60 120 minutes)

Internship Task 7, Data and Problem Statement,

Handouts (Ureka Notes & Videos) helpful to solve the task for the week will be provided.

Day 5 (60 120 minutes)

Oxford Science Park, Oxford, UK | Chemin Des Anges, Lyon, France | Dubai Silicon Oasis, Dubai, UAE

Interaction with a reputed Data Scientist from the Industry

Day 6 (60 120 minutes)

Non-mentored, Group Collaborative Work – discussion and presentation of the internship

task within your group.

Submission Deadline Task 7

Week 8

Day 1 (60 120 minutes)

Final report guidelines and discussion

Day 2 (60 120 minutes)
Final Soft Skills presentation

Day 3 (60 120 minutes)

Mentor session on latest industry trends in Data Science

Mentor session on Data Science & Engineering Interviews

Certificate Distribution (soft copy by email and hard copy by courier)

End of Programme

Submit Application

Data Science

Global Trainee Work from Home Internship Programme

Course ID – GKA-045

Internship Program Cost

4 weeks Australian $ 180, all inclusive

8 weeks Australian $ 325, all inclusive

Submit Application

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