WHAT YOU WILL LEARN
Create and interpret information visualizations utilizing the Python programming language and related packages & libraries
Apply and interpret inferential procedures when analyzing actual information
Apply statistical modeling methods to information (ie. linear and logistic regression, linear fashions, multilevel fashions, Bayesian inference methods)
Perceive significance of connecting analysis inquiries to information evaluation strategies.
SKILLS YOU WILL GAIN
- Python Programming
- Knowledge Visualization (DataViz)
- Statistical Mannequin
- Statistical inference strategies
- Statistics
- Knowledge Evaluation
- Confidence Interval
- Statistical Inference
- Statistical Speculation Testing
- Bayesian Statistics
- statistical regression
About this Specialization
This specialization is designed to show learners starting and intermediate ideas of statistical evaluation utilizing the Python programming language. Learners will be taught the place information come from, what forms of information could be collected, examine information design, information administration, and easy methods to successfully perform information exploration and visualization. They are going to be capable of make the most of information for estimation and assessing theories, assemble confidence intervals, interpret inferential outcomes, and apply extra superior statistical modeling procedures. Lastly, they may be taught the significance of and be capable of join analysis inquiries to the statistical and information evaluation strategies taught to them.
Utilized Studying Venture
The programs on this specialization characteristic quite a lot of assignments that can check the learner’s information and talent to use content material by means of idea checks, written analyses, and Python programming assessments. These assignments are performed by means of quizzes, submission of written assignments, and the Jupyter Pocket book atmosphere.
0 Comments