About This Course
Data sets in the right hands can help predict and shape the future. One of the fastest-growing fields, data science has vast and powerful applications in a range of different areas. In this course, you’ll learn essential definitions and gain an understanding of the tools that are fundamental to data science.
Advance your career by enrolling now to grab hold of the myriad of opportunities that mastering data science offers.
After Completing This Course You Will Be Able To
- Understand exactly what data science is and its real world applications
- Identify each stage of the data science life cycle and understand the main goals of each stage
- Understand data design and know how sampling reduces bias
- Know the key differences between Python and R
- Familiarize yourself with and set up Jupyter on your computer
- Interact confidently with and read in tabular data
- Understand what exploratory data analysis is
- Understand what data cleaning is and how it is used as well as the main questions to ask before cleaning
- Understand what data visualization is and how its used in data science as well as be prepared to visualize quantitative data
- Solve complex questions by bootstrapping your confidence interval.
- Know what the k-Nearest Neighbor algorithm is and how to use it to classify data
