This Professional Certificate program is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. No prior knowledge of R, or programming is required to get you started!
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This Professional Certificate program is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. No prior knowledge of R, or programming is required to get you started!
This Professional Certificate program is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. No prior knowledge of R, or programming is required to get you started!
In this Data Analytics and Visualization with Excel and R Professional Certificate Program, you will dive into the role of a data analyst or data scientist and develop the essential skills you need work with a range of data sources and apply powerful tools, including Excel, Cognos Analytics, and the R programming language (including: ggplot2, Leaflet and R Shiny), towards becoming a data driven practitioner, and gaining a competitive edge in the job market.
By the end of this program, you will be able to explain the data analyst and data scientist roles. Skills you will developer and tools you will be exposed to in this program include:
Throughout this Professional Certificate, you will also complete hands-on labs and projects to help you gain practical experience with Excel, Cognos Analytics, SQL, and the R programing language and related libraries for data science, including Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.
In the final course in this Professional Certificate, you will complete a capstone project that applies what you have learned to a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modelling to be performed on real-world datasets.
What you'll learn
- Use Excel spreadsheets to perform data analysis tasks such as data preparation (wrangling), creating pivot tables, data mining, & plotting charts.
- Complete the data analysis process, from data preparation to statistical analysis and predictive modeling using R, R Studio, and Jupyter.
- Create relational databases and tables, query data, sort, filter and aggregate result sets using SQL and R from JupyterLab.
- Communicate data findings with various data visualization techniques including, charts, plots & interactive dashboards such as Cognos and R Shiny.
What's inside
Eight courses
Analyzing Data with Excel
(12 hours)
Analyzing Data with Excel
(12 hours)
Data Visualization and Building Dashboards with Excel and Cognos
(10 hours)
Data Visualization and Building Dashboards with Excel and Cognos
(10 hours)
Data Analytics Basics for Everyone
(12 hours)
Data Analytics Basics for Everyone
(12 hours)
SQL for Data Science with R
(15 hours)
SQL for Data Science with R
(15 hours)
Analyzing Data with R
(15 hours)
Analyzing Data with R
(15 hours)
Visualizing Data with R
(6 hours)
Visualizing Data with R
(6 hours)
R Data Science Capstone Project
(6 hours)
R Data Science Capstone Project
(6 hours)
R Programming Basics for Data Science
(7 hours)
R Programming Basics for Data Science
(7 hours)Save this collection
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