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.
oferecido por
IBM Skills NetworkInformações sobre o curso
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Prazos flexÃveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
NÃvel intermediário
Aprox. 26 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
Write a web scraping program to extract data from an HTML file using HTTP requests and convert the data to a data frame.
Prepare data for modelling by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.
Interpret datawithexploratory data analysis techniques by calculating descriptive statistics, graphing data, and generating correlation statistics.
Build a Shiny app containing a Leaflet map and an interactive dashboard then create a presentation on the project to share with your peers.
Habilidades que você terá
- Data Science
- R Programming
- Data Visualization (DataViz)
- Linear Regression
- Exploratory Data Analysis
Prazos flexÃveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
NÃvel intermediário
Aprox. 26 horas para completar
Inglês
Legendas: Inglês
oferecido por
IBM Skills Network
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Programa - O que você aprenderá com este curso
4 horas para concluir
Module 1 - Capstone Overview and Data Collection
4 horas para concluir
2 vÃdeos (Total 4 mÃn.)
4 horas para concluir
Module 2 - Data Wrangling
4 horas para concluir
1 vÃdeo (Total 3 mÃn.)
4 horas para concluir
Module 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:
4 horas para concluir
1 vÃdeo (Total 2 mÃn.)
6 horas para concluir
Module 4: Predictive Analysis
6 horas para concluir
1 vÃdeo (Total 2 mÃn.)
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