Brief Introduction
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
Description
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 or IBM Data Analytics with Excel and R Professional Certificate Programs.
In this capstone project, you will take on the role of a data scientist who has recently joined an organization and is presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets. 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.
Knowledge
- Prepare data for modelling by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.
- Do exploratory data analysis using descriptive statistics, data grouping, data analysis and correlation statistics.
Python OOP - Object Oriented Programming for Beginners
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Learn Object Oriented Programming with Mini Projects, Coding Sessions, and Carefully Designed Graphics and Explanations. Understand how the elements and abstract concepts of OOP work behind the scenes....
Introduction To Data Science
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Use the R Programming Language to execute data science projects and become a data scientist. Use the R Programming Language to execute data science projects and become a data scientist....
Power BI Masterclass - How to use CALCULATE in DAX
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How to use the CALCULATE function in DAX , understanding the CALCULATE function in POWER BI - a step by step approach...
Statistical Inference
- 4.2
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Statistical inference is the process of drawing conclusions about populations or scientific truths from data. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance....
