Data Science: Statistics and Machine Learning Specialization
What you will learn from the Data Science: Statistics and Machine Learning Specialization
- Perform regression analysis, least squares and inference using regression models.
- Build and apply prediction functions
- Develop public data products
- Understand the process of drawing conclusions about populations or scientific truths from data
- Make informed data analysis decisions
- Use p-values, confidence intervals, and permutation tests
- Describe variability, distributions, limits, and confidence intervals
- Fundamentals of Probability, random variables, expectations and more
- T confidence intervals
- Power, Bootstrapping & Permutation Tests
- Use regression analysis, least squares and inference
- Understand ANOVA and ANCOVA model cases
- Investigate analysis of residuals and variability
- Describe novel uses of regression models such as scatterplot smoothing
- Linear Regression & Multivariable Regression
- Logistic Regression and Poisson Regression
- Residuals, Diagnostics, variance inflation, and model comparison
- Basic components of building and applying prediction functions
- Understand concepts such as training and tests sets, overfitting, and error rates
- Machine learning methods such as regression or classification trees
- Complete process of building prediction functions
- Prediction relative importance of steps, Errors, and Cross Validation
- Regularized Regression and Combining Predictors
- Develop basic applications and interactive graphics using GoogleVis
- Use Leaflet to create interactive annotated maps
- Build an R Markdown presentation that includes a data visualization
- Create a data product that tells a story to a mass audience
- How to develop basic applications and interactive graphics in shiny
- How to create R Markdown files and embed R code in an Rmd
- Create a useful data product for the public
- Build an efficient and accurate prediction model
Data Science: Statistics and Machine Learning Specialization includes 5 Courses they are
- Statistical Inference
- Regression Models
- Practical Machine Learning
- Developing Data Products
- Data Science Capstone
Course Instructors Roger D. Peng, Jeff Leek, Brian Caffo & Offered by Johns Hopkins University from Coursera
Can I download Data Science: Statistics and Machine Learning Specialization course?
Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.Can I get a certificate after completing the course?
Yes. After successful completion of the Data Science: Statistics and Machine Learning Specialization, learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
