Data Analytics and Business Intelligence
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- Data Analytics and Business Intelligence
Curriculum
- 12 Sections
- 100 Lessons
- 12 Weeks
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- Week 18
- 2.01 – Introduction: Data Analytics and Business Intelligence
- 2.12 – Introduction: Components of Data Analytics
- 2.23 – Introduction: What is Data
- 2.34 – Introduction: What is Data Source
- 2.45 – Data Analytical Tools: Google Analytics – Google Office – Google Docs
- 2.56 – Data Analytical Tools: Google Analytics – Google Word Cloud (Part 1)
- 2.67 – Data Analytical Tools: Google Analytics – Google Word Cloud (Part 2)
- 2.78 – Data Analytical Tools: Google Analytics – Google Office and Google Sheets
- Week 28
- 3.09 – Data Analytical Tools: Google Analytics – Google Sheets – Mathematical Analysis
- 3.110 – Data Analytical Tools: Google Analytics – Google Sheets – Usage and Example of Mathematical Analysis
- 3.211 – Data Analytical Tools: Google Analytics – Google Sheets – Statistical Analysis
- 3.312 – Data Analytical Tools: Google Analytics – Google Sheets – Usage and Example of Statistical Analysis
- 3.413 – Data Analytical Tools: Google Analytics – Google Sheets – Developing and Exporting Statistical Analysis
- 3.514 – Data Analytical Tools: Google Analytics – Data Mining using Google Sheets
- 3.615 – Data Analytical Tools: Google Analytics – Data Pivoting using Google Sheets
- 3.716 – Data Analytical Tools: Google Analytics – Spreadsheet Extensions
- Week 310
- 4.017 – Data Analytical Tools: Google Analytics – Data Pivoting (Part 1)
- 4.118 – Data Analytical Tools: Google Analytics – Data Pivoting (Part 2)
- 4.219 – Data Analytical Tools: Google Analytics – Advanced Functions in Google Sheets
- 4.320 – Data Analytical Tools: Google Analytics – Forms and Presentation Outcomes
- 4.421 – Data Analytical Tools: Microsoft Data Analytics – Microsoft Tools
- 4.522 – Data Analytical Tools: Microsoft Data Analytics – Microsoft Excel
- 4.623 – Data Analytical Tools: Microsoft Data Analytics – Database Management using MS Excel
- 4.724 – Data Analytical Tools: Microsoft Data Analytics – Descriptive Analysis using MS Excel (Part 1)
- 4.8Assignment 1
- 4.9Quiz # 115 Minutes10 Questions
- Week 48
- 5.025 – Data Analytical Tools: Microsoft Data Analytics – Descriptive Analysis using MS Excel (Part 2)
- 5.126 – Data Analytical Tools: Microsoft Data Analytics – Interpreting Visualizations using MS Excel
- 5.227 – Data Analytical Tools: Microsoft Data Analytics – Filtering using MS Excel
- 5.328 – Data Analytical Tools: Microsoft Data Analytics – Developing Series using MS Excel
- 5.429 – Data Analytical Tools: Microsoft Data Analytics – Number Based Visualization in MS Excel
- 5.530 – Data Analytical Tools: Microsoft Data Analytics – Pivot Table in MS Excel (Part 1)
- 5.631 – Data Analytical Tools: Microsoft Data Analytics – Pivot Table in MS Excel (Part 2)
- 5.732 – Data Analytical Tools: Microsoft Data Analytics – Pivot Table in MS Excel (Part 3)
- Week 59
- 6.033 – Data Analytical Tools: Microsoft Data Analytics – Macros in MS Excel
- 6.134 – Data Analytical Tools: Microsoft Data Analytics – Pattern Development using MS Excel (Part 1)
- 6.235 – Data Analytical Tools: Microsoft Data Analytics – Pattern Development using MS Excel (Part 2)
- 6.336 – Data Analytical Tools: Microsoft Data Analytics – Pattern Based Visualization using MS Excel
- 6.437 – Data Analytical Tools: Microsoft Data Analytics – Forecasting and Prediction in MS Excel
- 6.538 – Data Analytical Tools: Microsoft Data Analytics – Lookup Functions in MS Excel
- 6.639 – Data Analytical Tools: Microsoft Data Analytics – WhatIf Analysis using MS Excel
- 6.740 – Data Analytical Tools: Microsoft Data Analytics – Series and Sequences using MS Excel
- 6.8Assignment 2
- Week 68
- 7.041 – Data Analytical Tools: Microsoft Data Analytics – Complete Data Analytics Project in MS Excel
- 7.142 – Data Analytical Tools: Microsoft Data Analytics – Data Forecasting in MS Excel
- 7.243 – Data Analytical Tools: Microsoft Data Analytics – MS Excel Add-ins
- 7.344 – Power BI Data Analytics: Microsoft Power BI
- 7.445 – Power BI Data Analytics: Graphs & Charts in Power BI Desktop
- 7.546 – Power BI Data Analytics: Power BI Desktop Models
- 7.647 – Power BI Data Analytics: Relational Power using Power BI Desktop
- 7.748 – Power BI Data Analytics: First Power BI Desktop Dashboard
- Week 78
- 8.049 – Power BI Data Analytics: Another Dashboard, using Power BI Desktop
- 8.150 – Power BI Data Analytics: Discovering and Loading Power BI Desktop
- 8.251 – Power BI Data Analytics: Dealing with Different Datasets in Power BI Desktop
- 8.352 – Power BI Data Analytics: Power BI Desktop Query Examples
- 8.453 – Power BI Data Analytics: Power BI Data Queries
- 8.554 – Power BI Data Analytics: Data Transformations using Power BI Desktop (Part 1)
- 8.655 – Power BI Data Analytics: Data Transformations using Power BI Desktop (Part 2)
- 8.756 – Power BI Data Analytics: Data Transformations using Power BI Desktop (Part 3)
- Week 89
- 9.057 – Power BI Data Analytics: Conditional Data Transformations using Power BI Desktop
- 9.158 – Power BI Data Analytics: Data Mashup using Power BI Desktop
- 9.259 – Power BI Data Analytics: Creating Data using Power BI Desktop
- 9.360 – Power BI Data Analytics: Conditional Formating in Power BI Desktop
- 9.461 – Power BI Data Analytics: Developing Cards using Power BI Desktop
- 9.562 – Power BI Data Analytics: Power BI using Geographical Maps
- 9.663 – Power BI Data Analytics: Exporting Dashboards from Power BI Desktop
- 9.764 – R Data Analytics: R Programming Language – An Introduction
- 9.8Assignment 3
- Week 98
- 10.065 – R Data Analytics: What is using R
- 10.166 – R Data Analytics: R Database Handling
- 10.267 – R Data Analytics: R Programming Language – Control Structure
- 10.368 – R Data Analytics: R Programming Language – Functions
- 10.469 – R Data Analytics: R Visualization
- 10.570 – R Data Analytics: Visualizing Aggregate using R
- 10.671 – R Data Analytics: Multiple Plots using R
- 10.772 – R Data Analytics: Exploratory Data Analytics
- Week 109
- 11.073 – R Data Analytics: Odd man using R
- 11.174 – R Data Analytics: Developing Patterns using R (Part 1)
- 11.275 – R Data Analytics: Developing Patterns using R (Part 2)
- 11.376 – R Data Analytics: Developing Segments using R (Part 1)
- 11.477 – R Data Analytics: Developing Segments using R (Part 2)
- 11.578 – R Data Analytics: Developing Segments using R (Part 3)
- 11.679 – R Data Analytics: R Interface using Power BI
- 11.780 – R Data Analytics: R GUI Interfaces
- 11.8Assignment 4
- Week 118
- 12.081 – R Data Analytics: R Interface with MS Excel
- 12.182 – Data Analytics using Tableau: Tableau Based Data Analytics
- 12.283 – Data Analytics using Tableau: Graphs & Charts in Tableau
- 12.384 – Data Analytics using Tableau: Five Ways using Tableau
- 12.485 – Data Analytics using Tableau: Date Hierarchies
- 12.586 – Data Analytics using Tableau: Level of using Tableau
- 12.687 – Data Analytics using Tableau: Filters using Tableau
- 12.788 – Data Analytics using Tableau: Calculated Fields using Tableau
- Week 128
- 13.089 – Data Analytics using Tableau: Table Calculations in Tableau
- 13.190 – Data Analytics using Tableau: Sets using Tableau
- 13.291 – Data Analytics using Tableau: Expressions using Tableau
- 13.392 – Data Analytics using Tableau: Dashboards using Tableau
- 13.493 – Data Analytics using Tableau: Highlight/Heatmap Table using Tableau
- 13.594 – Data Analytics using Tableau: A Dual-Axis using Tableau
- 13.695 – Data Analytics using Tableau: Advanced Graphs using Tableau
- 13.796 – World of Data Analytics: Advanced Analytical Tools
68 – R Data Analytics: R Programming Language – Functions
DBI101_Topic068
Topic Brief
In this lesson SME will help you In R functions so the R interpreter is able to pass control to the function.