Data Analytics and Business Intelligence
Data Analytics and Business Intelligence Fees 30000/=
About the Course
In today’s data-driven economy, Data Analytics and Business Intelligence (BI) is a cornerstone of strategic decision-making and business growth. This course equips learners with the end-to-end skills required to transform raw data into actionable insights, using tools like MS Excel, Power BI, and SQL.
Designed for aspiring data professionals and freelancers, the course covers both theoretical concepts and practical applications, including data cleaning, modeling, visualization, and reporting. By completing this course, trainees will be prepared to take on high-impact roles such as Data Analyst, BI Developer, Analytics Consultant, or BI Specialist in both corporate and freelance markets.
Our training students receive a discount of up to 10% on new courses.
Learn & Earn with Virtual IT Training Institute
Batch Duration: 4 months / 16 weeks
Day and Time: (2 hours a day, 2 days a week)
Start Date: Ongoing
Fee: 25,000/=
Who can Join: Everyone
INSTANT INQUIRY
CALL : 01408349486, 01788862600
What You Will Learn
After completing this course, students will be able to:
Gain a holistic understanding of Data Analytics and Business Intelligence
Manage, clean, and analyze data using Excel formulas, functions, Conditional Formatting, and Pivot Tables
Master ETL (Extract, Transform, Load) techniques for multiple data sources
Understand data modeling, relationships, cardinality, and normalization for scalable BI models
Develop advanced analytical skills using DAX (Data Analysis Expressions)
Create interactive dashboards in Excel and Power BI with charts, slicers, filters, and KPIs
Use MySQL to extract, filter, and summarize data, integrating databases with Power BI
Apply practical tools and techniques to real-world Data Analytics scenarios
Interpret data patterns to support strategic business decisions
Identify diverse roles, tools, and growth opportunities in Data Analytics and BI
📘 Course Title: Complete Data Analytics & Business Intelligence Masterclass**
🧭 Course Structure
🔹 Module 1: Foundations of Data Analytics
1. Introduction to Data Analytics and Business Intelligence
2. Components of Data Analytics
3. What is Data
4. What is Data Source
🔹 Module 2: Google-Based Data Analytics Tools
5. Google Analytics, Google Office & Google Docs
6. Google Word Cloud (Part 1)
7. Google Word Cloud (Part 2)
8. Google Office & Google Sheets
9. Mathematical Analysis in Google Sheets
10. Mathematical Analysis – Examples
11. Statistical Analysis in Google Sheets
12. Statistical Analysis – Examples
13. Developing & Exporting Statistical Analysis
14. Data Mining using Google Sheets
15. Data Pivoting using Google Sheets
16. Spreadsheet Extensions
17. Data Pivoting (Part 1)
18. Data Pivoting (Part 2)
19. Advanced Functions in Google Sheets
20. Forms & Presentation Outcomes
🔹 Module 3: Microsoft Excel for Data Analytics
21. Microsoft Data Analytics – Overview
22. Microsoft Excel for Analytics
23. Database Management using MS Excel
24. Descriptive Analysis (Part 1)
25. Descriptive Analysis (Part 2)
26. Interpreting Visualizations
27. Filtering Techniques
28. Developing Series
29. Number-Based Visualization
30. Pivot Tables (Part 1)
31. Pivot Tables (Part 2)
32. Pivot Tables (Part 3)
33. Macros in Excel
34. Pattern Development (Part 1)
35. Pattern Development (Part 2)
36. Pattern-Based Visualization
37. Forecasting & Prediction
38. Lookup Functions
39. What-If Analysis
40. Series & Sequences
41. Complete Data Analytics Project
42. Data Forecasting
43. Excel Add-ins
🔹 Module 4: Power BI for Business Intelligence
44. Introduction to Microsoft Power BI
45. Graphs & Charts in Power BI
46. Power BI Desktop Models
47. Relational Power in Power BI
48. First Dashboard Creation
49. Advanced Dashboard Creation
50. Discovering & Loading Data
51. Query Examples
52. Power BI Data Queries
53. Data Transformations (Part 1)
54. Data Transformations (Part 2)
55. Data Transformations (Part 3)
56. Conditional Data Transformations
57. Data Mashup
58. Creating Data in Power BI
59. Conditional Formatting
60. Developing Cards
61. Geographical Maps
62. Exporting Dashboards
🔹 Module 5: R Programming for Data Analytics
63. Introduction to R Programming
64. Applications of R
65. R Database Handling
66. Control Structures
67. Functions in R
68. R Visualization
69. Visualizing Aggregates
70. Multiple Plots
71. Exploratory Data Analytics
72. Odd Man Analysis
73. Developing Patterns (Part 1)
74. Developing Patterns (Part 2)
75. Developing Segments (Part 1)
76. Developing Segments (Part 2)
77. Developing Segments (Part 3)
78. R Interface with Power BI
79. R GUI Interfaces
80. R Interface with MS Excel
🔹 Module 6: Tableau for Data Visualization
81. Tableau Based Data Analytics
82. Graphs & Charts in Tableau
83. Five Ways in Tableau
84. Date Hierarchies
85. Levels in Tableau
86. Filters in Tableau
87. Calculated Fields
88. Table Calculations
89. Sets in Tableau
90. Expressions
91. Dashboards
92. Highlight / Heatmap Tables
93. Dual-Axis Charts
94. Advanced Graphs
🔹 Module 7: Advanced Analytics & Conclusion
95. World of Data Analytics: Advanced Analytical Tools
🎯 Course Outcome
By completing this course, students will be able to:
* Understand complete Data Analytics lifecycle
* Perform analysis using Google Sheets & Excel
* Build dashboards using Power BI
* Analyze data using R programming
* Create professional visualizations using Tableau
* Execute end-to-end data analytics projects
Our training students receive a discount of up to 10% on new courses.
Learn & Earn with Virtual IT Training Institute
Batch Duration: 4 months / 16 weeks
Day and Time: (2 hours a day, 2 days a week)
Start Date: Ongoing
Fee: 30,000/=
Who can Join: Everyone
INSTANT INQUIRY
CALL : 01408349486, 01788862600