In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets.
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You will collect and understand data from multiple sources, conduct data wrangling and preparation with Tidyverse, perform exploratory data analysis with SQL, Tidyverse and ggplot2, model data with linear regression, create charts and plots to visualize the data, and build an interactive dashboard.
The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization.
Completing this course will count towards your learning in any of the following programs:
- IBM Data Analytics with Excel and R Professional Certificate
- Applied Data Science with R Specialization
What You Will Learn
- Prepare data for modelling by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.
- Conduct exploratory data analysis using descriptive statistics, data grouping, data analysis and correlation statistics.
Syllabus
WEEK 1
Capstone Overview and Data Collection
After completing this introduction module, you will be able to:
WEEK 2
Data Wrangling
After completing this data wrangling module, you will be able to:
WEEK 3
Performing Exploratory Data Analysis with SQL, Tidyverse & ggplot2
At this stage of the Capstone Project, you have gained some valuable working knowledge of data collection and
data wrangling. You have also learned a lot about SQL querying and visualization. Congratulations! Now it's time to apply some of your new knowledge and learn about Exploratory Data Analysis (EDA) techniques, again through practice. You can use the datasets you wrangled in the previous Module. However, if you had any issues completing the wrangling, no worries - we have prepared some clean datasets for you to use. You will be asked to complete three labs:
WEEK 4
Predictive Analysis
After completing this predictive analysis module, you will be able to:
WEEK 5
Building a R Shiny Dashboard App
After completinging this building R Shiny dashboard module, you will be able to:
WEEK 6
Present Your Data-Driven Insights
After completing this module, you will be able to:
