POWER BI-TABLEAU Course Overview

Welcome to AI Coach Mart's comprehensive DATA-VISUALIZATION-POWER BI-TABLEAU course! Our program is designed to provide you with a deep understanding of POWER BI and TABLEAU ) to equip you with the skills needed to excel in DATA-VISUALIZATION.

Highlights

1. Real-Time Experts
2. LIVE Project
3. Certification
4. Online training at Flexible times
5. Affordable Fees
6. Placement Support
7. Class recordings
8. Use AI tools and save 3 hours of your daily time.
9. The salary will grow three times as fast.
10. Unlock bonuses worth ₹50,000
11. Resume-Building Support
12. Mock interviews

Why Should You Learn Data Visualization with Power BI and Tableau?

1. Abundant Opportunities Worldwide

Data visualization skills, especially with tools like Power BI and Tableau, are in high demand globally. Organizations across various sectors rely on data to drive their decision-making processes, creating a plethora of opportunities for individuals proficient in these tools. Whether you're aiming for a career as a data analyst, business intelligence professional, or data scientist, expertise in Power BI and Tableau opens doors to diverse roles in companies ranging from startups to multinational corporations. The growing emphasis on data-driven strategies means that these skills are not just optional but essential for career advancement in the data and analytics field.

2. Attractive Average Salaries Worldwide

Professionals with data visualization skills command competitive salaries due to the high demand for their expertise. On average, salaries can vary significantly based on location, experience, and specific job roles:

• United States: Data visualization specialists can expect average salaries ranging from $70,000 to $120,000 annually. Senior roles and those in high-demand cities often exceed $150,000.
• Europe: In countries like the UK, Germany, and France, the average salaries range from €50,000 to €90,000, with senior positions earning upwards of €100,000.
• Asia: In India, professionals earn between ₹500,000 to ₹1,500,000 annually, while in countries like Singapore, the range is between SGD 70,000 to SGD 120,000.
• Australia: Average salaries range from AUD 80,000 to AUD 130,000, with top roles exceeding AUD 150,000.

These figures reflect the lucrative nature of careers involving Power BI and Tableau, underscoring the financial benefits of mastering these tools.

3. Wide Adoption Across Various Sectors

Data visualization tools like Power BI and Tableau are utilized across a multitude of industries to enhance data comprehension and facilitate informed decision-making. Some of the key sectors leveraging these tools include:

• Finance: Financial institutions use data visualization to track market trends, analyze financial performance, and manage risks. Dashboards provide real-time insights into financial metrics and aid in forecasting.
• Healthcare: Hospitals and healthcare providers utilize these tools to analyze patient data, improve care delivery, and optimize operational efficiency. Visualizations help in identifying trends, managing patient loads, and tracking health outcomes.
• Retail: Retailers use data visualization to understand consumer behavior, track sales performance, manage inventory, and optimize supply chains. This leads to better marketing strategies and improved customer experiences.
• Marketing: Marketing professionals rely on visualizations to monitor campaign performance, analyze consumer demographics, and measure the effectiveness of marketing strategies. This helps in refining targeting and maximizing ROI.
• Education: Educational institutions use data visualization to track student performance, manage administrative operations, and improve educational outcomes. Dashboards can highlight areas needing attention and support data-driven policy decisions.
• Manufacturing: Manufacturers employ these tools to monitor production processes, ensure quality control, and optimize logistics. Visual analytics help in identifying inefficiencies and enhancing overall productivity.
• Government: Government agencies use data visualization for policy analysis, public health monitoring, resource allocation, and transparency initiatives. This enables more effective governance and public service delivery.

POWERBI Course Content

1. Understanding the Basics (Beginner)
2. Data Prep & Data Model Fundamentals (Beginner)
3. Data Preparation, Modeling & Visualization
4. Data Transformations (Intermediate)
5. Interactive Visualizations (Intermediate)
6. Advanced Transformations & Visualizations (Advanced)
7. Advanced Dashboard Enhancements
8. DAX Essentials
9. DAX - CALCULATE & Filtering
10. DAX - Time Intelligence & ChatGPT
11. Publishing Reports & Power BI Service (Intermediate)
12. Scheduling, Data Gateway & Mobile App (Advanced)
13. Row-Level & Page-Level Security (Pro)
14. Python, Machine Learning & SQL (Pro)
15. M language Fundamentals (Pro)
16. Getting Started
17. Introducing Microsoft Power BI Desktop
18. Connecting & Shaping Data
19. Creating a Data Model
20. Calculated Fields with DAX
21. Visualizing Data with Reports
22. Artificial Intelligence (AI)
23. Power BI Optimization Tools
24. New Power BI Features & Updates
25. Getting Started
26. Understanding the Power BI Desktop Basics & Preparing the Course Project
27. Data Preparation in the Power Query Editor
28. Data Transformation in the Power Query Editor
29. The Data Model: Working with Relationships & DAX (Data Analysis Espressions)
30. Creating Visuals in the Report View
31. Power BI Pro & Mobile: Sharing & Collaborating with Workspaces & Apps
32. Other Data Sources
33. How to Stay Up-to-Date in the Power BI World?

Tableau Course Content

1. Introduction - Welcome to the new 2023-24 Tableau Training Course
2. Data Control and Preparation
3. Grouping, Sorting, Aggregations and Heat Maps
4. Filtering Dates, Measures and Strings
5. Visualizations, Functions, Maps and Density Plots
6. Dashboard Designs and Assignments
7. Project Management, Philosophy, Career Planning
8. Data Cleansing, Preparation and File Storage
9. Numerical and Text-Based Cleansing Techniques
10. Structure, Pivots, Tables and Connections
11. Mathematical Operators and Functions
12. Logic Analysis (If Functions and Variations)
13. Date-Based Analysis
14. Quick Table Calculations
15. Advanced Filtering
16. Advanced Maps
17. Introduction and Data Set
18. Unions, Joins and Relationships
19. Parameters
20. Sets
21. Level of Detail (LODs)
22. Analytics
23. Dashboard Design Elements
24. Dashboard Objects
25. Dashboard Actions
26. Tableau Stories
27. Custom Visualizations
28. Unions, Joins and Blending
29. Parameters and Sets
30. Level of Detail (LOD) Calculations
31. New Visualizations
32. Dashboard Actions and Animation (Pages)
33. Mobile, Dashboards and Story Creation
34. Tableau Online - Site Creation, Publishing Dashboards and Cloud
35. Tableau Online - Site/Server Administration
36. Tableau Prep - Part 1 - Data Preparation and ETL Tool
37. Tableau Prep - Part 2 - Data Preparation and ETL Tool
38. Sample Data Set Collection