This four-course program, developed in partnership with the School of Continuing Studies at the University of Toronto, covers advanced statistical modelling, machine learning, and big data tools, toolbox of a predictive analytics professional, including neural networks and deep learning; programming languages and software used in data extraction and analysis; and data security, compliance, and privacy issues.
The course content covers the seven domains of INFORMS' Certified Analytics Professional (CAP) certification.
Courses:
- Foundation of Data Science
- Statistics for Data Science
- Machine Learning
- Big Data Management Systems and Tools
- Selecting data & finding the top chocolate bar producers
We get data regarding Chocolate bars to find the top producers by analysis of different attributes such as cocoa percentage, bean origin, and region to understand their impact on chocolate ratings. - Finding appropriate data structure to store books data by analysing different techniques
We have data regarding books and authors and we try different data structures such as list, dictionaries, classes and objects, dataframes, SQL to store the data - Which province got the most federal support?
Analyzing provincial data from 2016, 2017, 2018 to understand the trends and patterns - Which flower has longest petal?
Analyzing Iris flower data set to understand the classes in which they are divided, their sepal and petal lengths - Find out on which weekday people bike the most with groupby and aggregate
Finding the pattern of bikesharing by people of specific region