top of page
Hero background

Data Architect / Data Analytics moduleData Analytics Module

Data analysts review, visualize and find patterns in data, then make predictions. This hands-on module covers Excel, Power BI, R programming and pipeline automation.

Book an appointmentCall 847-350-9034

Hands-on labsGroup projectsCapstone project

Six parts of the course

From data basics to a capstone project. 1

Data analysis overview

Collecting, cleaning and presenting data, statistics overview, tools and use cases.
2

Analysis with Excel

Linear regression, correlation, Excel Solver and forecasting.
3

Analysis with Power BI

Query, data cleansing, visualization, reports, dashboards and DAX.
4

Analysis with R

R syntax, graphics library and AI/ML libraries.
5

End-to-end automation

Analysis pipeline, best practices, case study and certification preparation.
6

Capstone project

Apply the skills in a final project.

Detailed course content

Topics covered in each part. 

1. Data analysis overview

✓Database vs information, data story✓Data analysis vs business intelligence✓How to present, collect and clean data✓Statistics overview and use cases✓Tools: Excel, Python, Power BI, Tableau, R✓Lab and homework

2. Data analysis with Excel

✓Linear regression and correlation✓Excel Solver and forecasting✓Quiz, lab and homework

3. Data analysis with Power BI

✓Power BI Desktop and query overview✓Data cleansing and visualization✓Reports, dashboards and DAX✓Group project

4. Data analysis with R programming

✓R syntax, vector vs data frame✓R graphics library✓Association, classification, clustering, decision tree, prediction, recommendation✓Data visualization lab and group project

5-6. Automation and capstone

✓Data analysis pipeline and best practices✓Case study, simplification and automation✓Homework and certification preparation✓Capstone project

Support and salient features

Career support and classroom features that come with the course. 

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class

Explore more training

See other programs, funding options and the class schedule. All training programsEducation grant programUpcoming classes

Ready to work with data?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointmentCall 847-350-9034Education grant program

Six parts of the course

From data basics to a capstone project.1

Data analysis overview

Collecting, cleaning and presenting data, statistics overview, tools and use cases.
2

Analysis with Excel

Linear regression, correlation, Excel Solver and forecasting.
3

Analysis with Power BI

Query, data cleansing, visualization, reports, dashboards and DAX.
4

Analysis with R

R syntax, graphics library and AI/ML libraries.
5

End-to-end automation

Analysis pipeline, best practices, case study and certification preparation.
6

Capstone project

Apply the skills in a final project.

Detailed course content

Topics covered in each part.1

Data analysis overview

✓Database vs information, data story✓Data analysis vs business intelligence✓How to present, collect and clean data✓Statistics overview and use cases✓Tools: Excel, Python, Power BI, Tableau, R✓Lab and homework
2

Data analysis with Excel

✓Linear regression and correlation✓Excel Solver and forecasting✓Quiz, lab and homework
3

Data analysis with Power BI

✓Power BI Desktop and query overview✓Data cleansing and visualization✓Reports, dashboards and DAX✓Group project
4

Data analysis with R programming

✓R syntax, vector vs data frame✓R graphics library✓Association, classification, clustering, decision tree, prediction, recommendation✓Data visualization lab and group project
5

5-6. Automation and capstone

✓Data analysis pipeline and best practices✓Case study, simplification and automation✓Homework and certification preparation✓Capstone project

Support and salient features

Career support and classroom features that come with the course.1

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work
2

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class

Explore more training

See other programs, funding options and the class schedule.All training programsEducation grant programUpcoming classes
 

Ready to work with data?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointmentCall 847-350-9034Education grant program

 

 

 

 

bottom of page
ITExps Assistant
Hello! I am your ITExps assistant. How can I help you today?