WHAT YOU WILL LEARN
Carry out primary R programming duties like working with knowledge constructions, knowledge manipulation, utilizing APIs, webscraping, and utilizing R Studio and Jupyter.
Create relational databases and tables, load them with knowledge from CSV information, and question knowledge utilizing SQL and R utilizing JupyterLab.
Full the info evaluation course of, together with knowledge preparation, statistical evaluation, and predictive modeling.
Talk knowledge evaluation findings with knowledge visualization charts, plots, and dashboards utilizing libraries corresponding to ggplot, leaflet and R Shiny.
SKILLS YOU WILL GAIN
- Shiny Dashboards
- Knowledge Evaluation and Modelling
- R Programmin Language
- Knowledge Visualization (DataViz)
- SQL & RDBMS
- Knowledge Science
- R Programming
- Choose (Sql)
- Relational Databases (RDBMS)
- Tables (Database)
- Statistical Evaluation
- Knowledge Evaluation
About this Specialization
This Specialization is meant for anybody with a ardour for studying who’s looking for to develop the job-ready expertise, instruments, and portfolio to have a aggressive edge within the job market as an entry-level knowledge scientist.
Via these 5 on-line programs, you’ll develop the abilities you’ll want to deliver collectively typically disparate and disconnected knowledge sources and use the R programming language to rework knowledge into insights that allow you to and your stakeholders make extra knowledgeable choices.
By the tip of this Specialization, it is possible for you to to carry out primary R programming duties to finish the info evaluation course of, together with knowledge preparation, statistical evaluation, and predictive modeling. Additionally, you will be capable to create relational databases and question the info utilizing SQL and R and talk your knowledge findings utilizing knowledge visualization strategies.
Utilized Studying Mission
All through this Specialization, you’ll full hands-on labs that will help you achieve sensible expertise with numerous knowledge sources, datasets, SQL, relational databases, and the R programing language. You’ll work with instruments like R Studio, Jupyter Notebooks, and associated R libraries for knowledge science, together with dplyr, Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.
Within the ultimate course on this Specialization, you’ll full a capstone mission that applies what you’ve got realized to a problem that requires knowledge assortment, evaluation, primary speculation testing, visualization, and modelling to be carried out on real-world datasets.
0 Comments