Data Science Program

High-value online data science program that helps you to embrace the challenges & opportunities in the field of data science and make you an industry-ready Data Scientist.

You will walk away with

Future-focused perspective on data science, and insight into using emerging data science technologies

In-depth practical knowledge in the data science concepts, personalised training, strong data science portfolios, career guidance

Get job-ready with a strong data science CV that is developed with portfolios created during the program

Program Curriculum

Modules

  • Python & Statistics Fundamentals
  • Data Analysis
  • Exploratory Data Analysis
  • Data Visualization
  • Machine Learning Fundamentals
  • CV Preparation
  • Supervised & Unsupervised Learning
  • Natural Language Processing (NLP)
  • Deep Learning
  • Job Readiness Program
  • Mock Interviews

Structure

Experience a flexible and structured approach to instructor-led online education by highly experienced professionals.

  • 8 weeks
  • 10 hours per week including 5-6 hours video call covering theory, hands-on and 1-2-1 meetings
  • Weekly modules with flexible learning
  • Weekend online classroom training
  • Small batch for complete personalised and hands-on training

Fees £500

Get in touch


Highlights of the Program

  • Engage Students in interactive learning
  • Case Studies which explore real-world projects
  • Understanding the top research papers in data science

Prerequisites

  • For learning data science, interest is the main criteria. It is not easy to learn all the concepts in one go.
  • The weekly time commitment expected 9-10 hours, including 5 hours of online classes.
  • Basic knowledge of statistics and programming language makes it easier. However, the course includes the basics of statistics and python required for data science.

FAQs

  • Which language is the course taught?
    English & Python
  • What are the minimum criteria?
    For learning data science, interest is the main criteria. It is not easy to learn all the concepts in one go. Commitment is required for the 8 weeks. Basic knowledge of statistics and programming language makes it easier. However, the course includes the basics of statistics and python required for data science.
  • Can 14-year-old students join the course?
    Yes, there is no age limit to learn Data Science. If you are really interested and give a full commitment, then you can learn the concepts and start working with data.
  • Is there any need for a Data Scientist to know about Cloud technology?
    It is not mandatory for a data scientist to know about cloud technologies. But it is a good skill to have. With cloud technology in place, data scientists can focus on developing great models and take advantage of all data without worrying about storage, processing time, or even the infrastructure.
  • How are weekly classes conducted?
    We will conduct online classes – theory and hands-on during weekends. The time of the class will be decided after discussing it with the students.

Program Coordinators

Both Minu and Ramya graduated from Queen’s University Belfast with MSc in Data Analytics.

Minu is working as a Senior Data Scientist, with 11 years of experience in the IT industry. She is a Google Certified Professional Data Engineer with over 6 years of experience as a professional technical trainer. Previously worked with Infosys Limited and RM Education.

Ramya is working as a freelance data scientist. Previously she worked as a data analyst in Northern Ireland Water Belfast. She also worked as a technical support representative in IBM

Recent online workshops

Data Science Program | Modules covered
1. Sharing insight into Data Science and Natural Language Processing (NLP), with a demo of a complete Project on NLP
2. An interactive workshop providing important tips for aspiring data scientists and experienced alike

5 selected candidates have been given a chance to get an instructor-led and highly interactive 5-week training course for free. The selection was solely at the discretion of the course instructors Santhosh Kotha, Visakh Shaji, Sony Diwan, Vipul Agarwal, and Bhuvan Kumar Y