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What is data science? Why is it so popular? Why Data Science is named the “sexiest job of the 21st century” by the Harvard Business Review?
In this non-technical course, you can learn everything you always wanted without writing a single line of code. Yes, Data science doesn’t require any coding experience. With hands-on exercises, you can learn about the different data scientist roles, A/B testing, Time series analysis and machine learning, how to extract knowledge as a data scientist and insights from real-world data. Start your course today and gain skills in this hugely in-demand field and explore why data science is for everyone.
Hands-on experience with tools used by top tech companies
Framework based on analysis of 200+ successful data science projects
Methodology validated by industry experts and practitioners
Build practical skills in Python programming and machine learning applications through real-world projects
Learn cutting-edge techniques in Natural Language Processing (NLP) and AI implementation strategies
Develop end-to-end project capabilities from data gathering to insights presentation with proven methodologies
To fast-track your career and achieve
Name of Exam – AgileFever Introduction to Data Science Examination
Exam details are as follows:
Basic computer skills, analytical mindset, problem-solving ability, and familiarity with Excel or similar tools. Prior coding experience is helpful but not mandatory.














Yes! This course is aligned for the new learners who are stepping into data science.
No, prior coding experience is required, but if you have it is useful.
Learning this course will give various career options. Data analysts, data engineers, data scientists, business analysts, research analysts and others.
Yes! Upon successful completion of the course at AgileFever, you will be able to get a certification.
This is a 2 days intense course.
There is a vast future for the Data science as the AI is the future. This is the most in-demand course in the 21st century.
In simple words, Introduction to Data Science (IDS) teaches learners to reason with and think critically about, data in all forms.
Consent, clarity, consistency, control & transparency, and consequences & harm
Taking an online course is the best choice to take.
Refer to the schedule section to know the scheduled time and price, if not contact us to know more details.