The role of a data scientist stands out as one of the most well-matched careers to prosper in this era. It is characterized by its digital nature, emphasis on programming, and analytical focus. Consequently, it is not unexpected that the need for data scientists has been rapidly increasing in the employment landscape.
No prior experience is required. We will start from the very basics
Microsoft Excel 2003, 2010, 2013, 2016, or 365
Helps to understand the basic concept of analytics with the data set structure and various types of variables which are widely used to day to day work.
Helps to understand the basic concept of descriptive statistics and how to use those techniques to get meaningful insight from any given data.
Helps to understand different types of graphical presentation which are very helpful for presenting any data set with meaningful information in a very easiest manner.
Helps to understand how statistical distribution can be checked for any given set of data and how any given hypothesis or assumption of any data set can be tested with the help of statistical test to solve business problem.
Helps to understand how to use multiple linear regression method to identify the importance of predictors and also to make prediction for future.
Helps to understand how to use logistics regression method to identify the importance of predictors for an Binary dependent variable and also use the model for classification purpose.
Helps to understand different types of data processing techniques which are very useful to perform any statistical test or reports.
Excellent Training by 21st Century Software Solutions - I have learned IBM unica
Excellent JS training covering frameworks like Node, React, Angular in-depth. Very practical curriculum.
Good Tableau course to learn data visualization with practical case studies and assignments. Recommended.
Full lifetime access
Certificate of Completion