Data Research Statistical Approaches
Data Research
| Intermediate
- 13 videos | 42m 49s
- Includes Assessment
- Earns a Badge
This 12-video course explores implementation of statistical data research algorithms using R to generate random numbers from standard distribution, and visualizations using R to graphically represent the outcome of data research. You will learn to apply statistical algorithms like PDF (probability density function), CDF (cumulative distribution function), binomial distribution, and interval estimation for data research. Learners become able to identify the relevance of discrete versus continuous distribution in simplifying data research. This course then demonstrates how to plot visualizations by using R to graphically predict the outcomes of data research. Next, learn to use interval estimation to derive an estimate for an unknown population parameter, and learn to implement point and interval estimation by using R. Learn data integration techniques to aggregate data from different administrative sources. Finally, you will learn to use Python libraries to create histograms, scatter, and box plot; and use Python to implement missing values and outliers. The concluding exercise involves loading data in R, generating a scatter chart, and deleting points outside the limit of x vector and y vector.
WHAT YOU WILL LEARN
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Describe the features provided by statistical methods and approaches in data research
Identify the relevance of discrete vs continuous distribution in simplifying data research
Recognize the features of pdf and cdf from the perspective of data research
Implement binomial distribution using r
Specify the types of interval estimation that can be used to enhance data research
Implement point and interval estimation using r -
Describe the relevance of data visualization techniques in projecting the outcome of data research
Plot visualizations using r to depict the outcome of data research graphically
Recall the data integration techniques that facilitate using statistical methods
Create histograms, scatter plots, and box plots using python libraries
Implement missing values and outliers using python
Implement data research using various statistical approaches
IN THIS COURSE
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1m 52s
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3m 33sUpon completion of this video, you will be able to describe the features provided by statistical methods and approaches to data research. FREE ACCESS
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3. Discrete vs. Continuous Distribution3m 16sIn this video, learn how to identify the relevance of discrete or continuous distribution in simplifying data research. FREE ACCESS
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4. PDF and CDF6m 33sAfter completing this video, you will be able to recognize the features of PDFs and CDFs from the perspective of data research. FREE ACCESS
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5. Binomial Distribution3m 16sIn this video, you will learn how to implement binomial distribution using R. FREE ACCESS
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6. Interval Estimation3m 16sUpon completion of this video, you will be able to specify the types of interval estimation that can enhance data research. FREE ACCESS
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7. Point and Interval Estimation3m 35sIn this video, you will learn how to use point and interval estimation using R. FREE ACCESS
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8. Data Visualization Techniques2m 11sAfter completing this video, you will be able to describe the relevance of data visualization techniques in data research outcomes. FREE ACCESS
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9. Data Visualization Using R2m 39sIn this video, you will plot visualizations using R to depict the outcome of your data research graphically. FREE ACCESS
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10. Data Integration Techniques3m 11sAfter completing this video, you will be able to recall the data integration techniques that facilitate using statistical methods. FREE ACCESS
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11. Creating Plots3m 59sDuring this video, you will learn how to create histograms, scatter plots, and box plots using Python libraries. FREE ACCESS
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12. Missing Values and Outliers3m 5sIn this video, learn how to deal with missing values and outliers using Python. FREE ACCESS
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13. Exercise: Statistical Methods for Data Research2m 23sFind out how to implement data research using various statistical approaches. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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