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Understanding Data Science
What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”? In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code. Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords. Start learning, gain skills in this hugely in-demand field, and discover why data science is for everyone!
The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary, promotional material and detailed learning objectives can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
Content
1 modules
Data Analytics Short Course
- Lessons from Dr. Humera Noor
- What is data analytics?
- Types of data analytics
- The data analysis process
- What skills do I need to become a data analyst?
- How do I become a data analyst?
- Data analytics for beginners: Recommended bootcamps and courses
- Data analytics projects for beginners
- Best data analytics books for beginners
- Summary and further reading
What is data science?
Data science everywhere! Every time you shop online, scroll through social media, or receive a fraud alert on your credit card, data science is working behind the scenes. Data science is becoming increasingly important in today's world, helping businesses, governments, and individuals make sense of complex information.
