GLobal Training Programme

Data Science

Externships, Projects, Tutoring in Data Science
Project Title
Data Science Internship for Beginners
Learning Outcome
Participants learn functional use of Data Science and how to apply it in solving real problems from their respective field. A skill that is increasingly becoming critical for success in all industries. Thus, enhancing their employability manifold. The internship starts with fundamentals of Python programming and eases the participants into the field of Data Science where every week they attempt to solve increasingly difficult problems under the supervision of an expert mentor.
Content
  • Introduction to Machine Learning
  • Python programming & data structures
  • Numpy with Python
  • Data Handling with Python
  • Data Pre-processing with Python
  • Data Visualization using Matplotlib Packages
  • Regression Analysis
  • Classification Algorithms-Logistic Regression, Naive Bayes Classifier, Nearest Neighbour, Support Vector Machines, Decision Trees, Random Forest, Neural Networks
  • Mini project & research paper
  • Unsupervised Algorithms- Clustering and Association
  • Computer Vision with Open CV
  • Deep Learning with Keras
  • Major project & final research paper publication
Department Head
Mr Husain is an award winning industry expert, ex Lead Data Scientist from GE & Microsoft with more than 17 years of industry experience.
Mentor / Instructor
Dr Agarwal holds an MTech and PhD in Computer Science and has completed ‘Python for Research’ certification from Harvard University. He has more than 18 years of experience in working with university students and specialises in Design and Analysis of Algorithms, Machine Learning, Neural Networks, Deep Learning, Pattern Recognition, Parallel Algorithms and Programming Languages including Python, Matlab, R, C++ etc.
Two International Certificates
a) Internship Certificate from Sloan Technologies FZCO, UAE.
b) Data Science for Beginners, Certificate of Achievement from Ureka UK. Certificates will be issued on completion of all requirements of the internship and submission of assignments.
Some of the projects topics that participants will work on
  • Heart Disease Prediction with Machine Learning Approaches
  • Fake News Detection using ML Algorithms
  • A Data Driven Analysis of a Global Crises (Covid-19)
  • Air Quality prediction model based on Supervised Machine Learning Algorithms
  • Climate Change Analysis Using Machine Learning
  • Twitter sentiment Analysis
  • Quality Prediction of Red Wine based on Different Feature Sets Using Machine Learning Techniques
Internship Format
Live video session with the mentor – 5 days a week, 1 hour daily
Live programming practice using screen share on a daily basis
Reading and reference material will be shared
Small task or assignments will be given on a daily basis
Internship Duration
8 Weeks

Programme Contact Information

Ms. Malak Jaber (UAE)

+971 52 390 4765
malak.j@ureka.co.uk

Mr. Abdullah Imtiaz (India)

+91 98975 33866
a.imtiaz@ureka.co.uk

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