Understanding the top research papers in data science
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.
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.
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