Data Analytics and Business Intelligence
Unlock the Power of Data: Master Analytics and Business Intelligence with Top Tools and Techniques!
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25 learners
What you'll learn
- Understand the fundamentals of data analytics and business intelligence
- Identify various components and sources of data analytics
- Utilize Google and Microsoft data analytical tools effectively
- Create and analyze data visualizations using Tableau and Power BI
This course includes
- 23.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 96 lessons • 23.3 hours of video
Mastering Data Analytics: Google, Microsoft, R, and Tableau
96 lessons
• 23.3 hours
Mastering Data Analytics: Google, Microsoft, R, and Tableau
96 lessons
• 23.3 hours
- 1 - Introduction: Data Analytics and Business Intelligence 22:18
- 2 - Introduction: Components of Data Analytics 13:04
- 3 - Introduction: What is Data 17:25
- 4 - Introduction: What is Data Source 17:22
- 5 - Data Analytical Tools: Google Analytics - Google Office - Google Docs 13:03
- 6 - Data Analytical Tools: Google Analytics - Google Word Cloud (Part 1) 15:58
- 7 - Data Analytical Tools: Google Analytics - Google Word Cloud (Part 2) 19:54
- 8 - Data Analytical Tools: Google Analytics - Google Office and Google Sheets 14:25
- 9 - Data Analytical Tools: Google Analytics - Google Sheets - Mathematical Analysis 15:13
- 10 - Data Analytical Tools: Google Analytics - Sheets - Use and Example of Mathematical Analysis 14:29
- 11 - Data Analytical Tools: Google Analytics - Google Sheets - Statistical Analysis 12:58
- 12 - Data Analytical Tools: Google Analytics - Sheets - Usage and Example of Statistical Analysis 11:39
- 13 - Data Analytical Tools: Google Analytics -Sheets - Developing and Exporting Statistical Analysis 15:53
- 14 - Data Analytical Tools: Google Analytics - Data Mining using Google Sheets 15:33
- 15 - Data Analytical Tools: Google Analytics - Data Pivoting using Google Sheets 16:19
- 16 - Data Analytical Tools: Google Analytics - Spreadsheet Extensions 15:26
- 17 - Data Analytical Tools: Google Analytics - Data Pivoting (Part 1) 11:50
- 18 - Data Analytical Tools: Google Analytics - Data Pivoting (Part 2) 16:13
- 19 - Data Analytical Tools: Google Analytics - Advanced Functions in Google Sheets 15:31
- 20 - Data Analytical Tools: Google Analytics - Forms and Presentation Outcomes 13:15
- 21 - Data Analytical Tools: Microsoft Data Analytics - Microsoft Tools 14:16
- 22 - Data Analytical Tools: Microsoft Data Analytics - Microsoft Excel 18:50
- 23 - Data Analytical Tools: Microsoft Data Analytics - Database Management using MS Excel 16:18
- 24 - Data Analytical Tools: Microsoft Data Analytics - Descriptive Analysis using MS Excel (Part 1) 17:41
- 25 - Data Analytical Tools: Microsoft Data Analytics - Descriptive Analysis using MS Excel (Part 2) 15:59
- 26 - Data Analytical Tools: Microsoft Data Analytics - Interpreting Visualizations using MS Excel 14:47
- 27 - Data Analytical Tools: Microsoft Data Analytics - Filtering using MS Excel 17:07
- 28 - Data Analytical Tools: Microsoft Data Analytics - Developing Series using MS Excel 13:31
- 29 - Data Analytical Tools: Microsoft Data Analytics - Number Based Visualization in MS Excel 13:11
- 30 - Data Analytical Tools: Microsoft Data Analytics - Pivot Table in MS Excel (Part 1) 16:52
- 31 - Data Analytical Tools: Microsoft Data Analytics - Pivot Table in MS Excel (Part 2) 16:42
- 32 - Data Analytical Tools: Microsoft Data Analytics - Pivot Table in MS Excel (Part 3) 14:16
- 33 - Data Analytical Tools: Microsoft Data Analytics - Macros in MS Excel 15:08
- 34 - Data Analytical Tools: Microsoft Data Analytics - Pattern Development using MS Excel (Part 1) 15:39
- 35 - Data Analytical Tools: Microsoft Data Analytics - Pattern Development using MS Excel (Part 2) 15:07
- 36 - Data Analytical Tools: Microsoft Data Analytics - Pattern Based Visualization using MS Excel 16:08
- 37 - Data Analytical Tools: Microsoft Data Analytics - Forecasting and Prediction in MS Excel 10:20
- 38 - Data Analytical Tools: Microsoft Data Analytics - Lookup Functions in MS Excel 11:53
- 39 - Data Analytical Tools: Microsoft Data Analytics - WhatIf Analysis using MS Excel 14:13
- 40 - Data Analytical Tools: Microsoft Data Analytics - Series and Sequences using MS Excel 15:36
- 41 - Data Analytical Tools: Microsoft Data Analytics - Complete Data Analytics Project in MS Excel 14:28
- 42 - Data Analytical Tools: Microsoft Data Analytics - Data Forecasting in MS Excel 13:10
- 43 - Data Analytical Tools: Microsoft Data Analytics - MS Excel Add-ins 13:38
- 44 - Power BI Data Analytics: Microsoft Power BI 16:18
- 45 - Power BI Data Analytics: Graphs & Charts in Power BI Desktop 18:19
- 46 - Power BI Data Analytics: Power BI Desktop Models 12:05
- 47 - Power BI Data Analytics: Relational Power using Power BI Desktop 13:59
- 48 - Power BI Data Analytics: First Power BI Desktop Dashboard 13:39
- 49 - Power BI Data Analytics: Another Dashboard, using Power BI Desktop 09:18
- 50 - Power BI Data Analytics: Discovering and Loading Power BI Desktop 10:36
- 52 - Power BI Data Analytics: Power BI Desktop Query Examples 14:11
- 53 - Power BI Data Analytics: Power BI Data Queries 18:03
- 54 - Power BI Data Analytics: Data Transformations using Power BI Desktop (Part 1) 14:28
- 55 - Power BI Data Analytics: Data Transformations using Power BI Desktop (Part 2) 16:39
- 56 - Power BI Data Analytics: Data Transformations using Power BI Desktop (Part 3) 13:20
- 57 - Power BI Data Analytics: Conditional Data Transformations using Power BI Desktop 15:02
- 58 - Power BI Data Analytics: Data Mashup using Power BI Desktop 14:56
- 59 - Power BI Data Analytics: Creating Data using Power BI Desktop 20:30
- 60 - Power BI Data Analytics: Conditional Formatting in Power BI Desktop 12:09
- 61 - Power BI Data Analytics: Developing Cards using Power BI Desktop 09:44
- 62 - Power BI Data Analytics: Power BI using Geographical Maps 18:33
- 63 - Power BI Data Analytics: Exporting Dashboards from Power BI Desktop 10:58
- 64 - R Data Analytics: R Programming Language - An Introduction 17:32
- 65 - R Data Analytics: What is using R 16:46
- 66 - R Data Analytics: R Database Handling 16:37
- 67 - R Data Analytics: R Programming Language - Control Structure 17:27
- 68 - R Data Analytics: R Programming Language - Functions 15:09
- 69 - R Data Analytics: R Visualization 13:28
- 70 - R Data Analytics: Visualizing Aggregate using R 19:43
- 71 - R Data Analytics: Multiple Plots using R 13:53
- 72 - R Data Analytics: Exploratory Data Analytics 13:33
- 72 - R Data Analytics: Exploratory Data Analytics 18:05
- 73 - R Data Analytics: Odd man using R 18:05
- 74 - R Data Analytics: Developing Patterns using R (Part 1) 13:38
- 75 - R Data Analytics: Developing Patterns using R (Part 2) 09:36
- 76 - R Data Analytics: Developing Segments using R (Part 1) 15:42
- 77 - R Data Analytics: Developing Segments using R (Part 2) 18:18
- 78 - R Data Analytics: Developing Segments using R (Part 3) 14:36
- 79 - R Data Analytics: R Interface using Power BI 14:18
- 80 - R Data Analytics: R GUI Interfaces 13:17
- 81 - R Data Analytics: R Interface with MS Excel 13:44
- 82 - Data Analytics using Tableau: Tableau Based Data Analytics 18:20
- 83 - Data Analytics using Tableau: Graphs & Charts in Tableau 13:29
- 84 - Data Analytics using Tableau: Five Ways using Tableau 12:08
- 85 - Data Analytics using Tableau: Date Hierarchies 15:12
- 86 - Data Analytics using Tableau: Level of using Tableau 12:19
- 87 - Data Analytics using Tableau: Filters using Tableau 14:57
- 88 - Data Analytics using Tableau: Calculated Fields using Tableau 09:55
- 89 - Data Analytics using Tableau: Table Calculations in Tableau 09:05
- 90 - Data Analytics using Tableau: Sets using Tableau 11:57
- 91 - Data Analytics using Tableau: Expressions using Tableau 14:22
- 92 - Data Analytics using Tableau: Dashboards using Tableau 12:16
- 93 - Data Analytics using Tableau: Highlight/Heatmap Table using Tableau 12:46
- 94 - Data Analytics using Tableau: A Dual-Axis using Tableau 12:51
- 95 - Data Analytics using Tableau: Advanced Graphs using Tableau 11:24
- 96 - World of Data Analytics: Advanced Analytical Tools 08:47
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