Excel & Power BI
Intermediate to Advanced Including Dashboard Designing & BI
Excel & Power BI
Intermediate to Advanced Including Dashboard Designing & BI
Unlock the power of data with our comprehensive Excel & Power BI Training program. Learn how to analyze, visualize, and interpret data like a pro, using advanced tools and techniques. From mastering Excel formulas to creating dynamic dashboards in Power BI, this training is perfect for professionals, students, and data enthusiasts. Transform your data skills and elevate your career to the next level!
Module 1: Excel for Data Analysis
Excel for Data Analysis
• Excel shortcuts make life easy
• Data Validation
• Data Analysis techniques
• Filter, Multi Filter, Sort, Multi Sort and Custom Sort
• Conditional Formatting
• Working with Basic Charts
• Working with Multiple Worksheets and workbooks (Links)
• Applying Security to Files, Workbooks & Worksheets
Essential Formulas for Data Analysis
• SUM, AVERAGE, COUNT, MIN, MAX for basic calculations
• AVERAGEIFS, COUNTIFS, SUMIFS for multi-condition analysis
• SUBTOTAL for filter data analysis
Logical and Lookup Functions
• Logical Functions (IF, AND, OR)
• VLOOKUP, HLOOKUP, and XLOOKUP for searching data
• INDEX and MATCH for advanced lookup scenarios
Advanced Data Analysis Techniques
• Consolidating Techniques
• Working with the Name Manager
• Advanced Charting and Graphs
• Data Analysis with What-If Analysis Tools
Data Analysis with Pivot Tables
• Creating Pivot Tables from raw data
• Summarizing data using Pivot Tables
• Grouping data by categories, dates, and values
• Calculated fields and items for custom analysis
• Using slicers to filter data interactively
• Creating dynamic Pivot Charts from Pivot Table data
• Formatting and customizing charts for presentation
Visualizing Data with Charts
• Bar, line, pie, and column charts for visualizing trends
• Adding and formatting data labels, axes, and legends
• Combination charts (e.g., bar and line charts)
• Sparklines for in-cell mini charts
Dashboards and Reporting in Excel
• Designing a dashboard layout for clear data representation
• Using Pivot Tables, Pivot Charts, slicers, and form controls for interactive dashboards
• Design Principles for Effective Dashboards
• Ensuring consistency, clarity, and readability
• Optimizing dashboards for sharing and collaboration
• Exporting dashboards and reports as PDFs or Excel workbooks
• Protecting data and restricting access to sensitive information
• Conditional Formatting for Data Highlighting
Data Analysis with Power Query
• Importing data from multiple sources
• Cleaning and transforming data using Power Query
• Combining data from multiple tables and sources
• Creating automated data transformations
Module 2: Power BI for Data Analysis
Introduction to Power BI
- Overview of Power BI
- Understanding the Power BI ecosystem
- Installation and setup
- Getting familiar with Power BI Desktop and Power BI Service
Data Transformation and Cleansing
- Cleaning and transforming data using Power Query Editor
- Handling missing or inconsistent data
- Merging and appending queries
- Advanced data transformation techniques
Connecting to Data Sources
- Importing data from various sources (Excel, CSV, databases, web sources, etc.)
- Understanding data shaping and transformation
- Data modeling best practices
Data Modeling
- Introduction to data modeling concepts
- Creating relationships between tables
- Using DAX (Data Analysis Expressions) for calculations and measures
- Introduction to calculated columns and measures
Visualization Techniques
- Creating different types of visualizations (bar charts, line charts, pie charts, etc.)
- Customizing visualizations for better insights
- Using slicers, filters, and drill-downs for interactivity
- Best practices for effective visualizations
Advanced Analytics with Power BI
- Introduction to advanced analytics features (forecasting, clustering, etc.)
- Implementing time intelligence functions in DAX
Power BI Service and Sharing
- Publishing reports and dashboards to Power BI Service
- Configuring dashboards and sharing options
- Collaboration and collaboration features
- Managing security and permissions
Why People Should Join Excel and Power BI Training
1. Enhance Data Skills: Learn to analyze, organize, and visualize data effectively, enabling smarter decision-making.
2. Boost Career Opportunities: Excel and Power BI are in-demand skills across industries, making you a valuable asset to employers.
3. Streamline Workflows: Automate repetitive tasks and create insightful reports to save time and increase efficiency.
4. Bridge Knowledge Gaps: Gain a competitive edge by mastering advanced tools for data management and visualization.
5. Adapt to the Data-Driven Era: Stay ahead in a world where data is a critical factor in business success.
This training is ideal for anyone looking to excel in data analysis and improve their professional capabilities.
○ Educational Background: While a specific degree may not always be required, most Data Analyst courses prefer candidates with a background in fields such as mathematics, statistics, computer science, engineering, economics, or related disciplines.
○ Basic Computer Skills: Candidates should possess basic computer skills and familiarity with using software applications. Proficiency in Microsoft Excel is recommended, as it forms the basis for data manipulation and analysis in the course.
○ Technical Requirements: Candidates must have access to a computer with internet connectivity to participate in online lectures, access course materials, and complete assignments.
Benefits of Learning Excel and Power BI
Enhanced Data Analysis Skills: Understand, organize, and interpret complex datasets to extract meaningful insights.
Better Decision-Making: Create clear and interactive reports and dashboards for informed business decisions.
Career Growth: Excel and Power BI are highly sought-after skills, increasing job opportunities and earning potential.
Automation of Tasks: Save time by automating repetitive tasks, such as data cleaning and report generation.
Improved Efficiency: Streamline workflows and enhance productivity in personal and professional projects.
Versatility Across Industries: Apply these skills in finance, marketing, operations, sales, and more.
Seamless Integration: Combine Excel and Power BI for a powerful toolkit that handles end-to-end data processes.
Problem-Solving Capabilities: Use data-driven approaches to solve business challenges effectively.
Learning these tools equips individuals with the expertise needed to thrive in today’s data-driven world.
High Demand Across Industries: Excel and Power BI are widely used in finance, marketing, operations, healthcare, and IT for data analysis and reporting.
Career Advancement Opportunities: Roles like data analyst, business analyst, financial analyst, and BI developer often require proficiency in these tools.
Entrepreneurial Growth: Freelancers and entrepreneurs can use these tools to offer data services or make data-driven business decisions.
Global Applicability: These tools are universally recognized and valued, making them useful for both local and international job markets.
Foundation for Advanced Learning: Knowledge of Excel and Power BI serves as a stepping stone to learning more advanced tools and technologies like Tableau, SQL, and Python.
Versatile Skill Set: Both tools can handle tasks like data modeling, visualization, and automation, making them indispensable in modern workplaces.
Support for Decision-Making: Organizations rely on data insights for strategy and performance evaluation, which boosts the demand for skilled professionals.
The scope of learning Excel and Power BI is vast, opening doors to numerous career and business opportunities in the evolving data-driven economy.
1. Who can join the Excel and Power BI training?
Anyone with an interest in data analysis can join, including professionals, students, managers, freelancers, and beginners looking to enhance their data skills.
2. Do I need prior knowledge of Excel or Power BI?
No prior experience is required. The training is designed for both beginners and those looking to advance their existing skills.
3. What topics will be covered in the training?
The training includes data analysis, advanced Excel formulas, Power Query, data visualization, creating dashboards in Power BI, and integrating data from multiple sources.
4. What is the duration of the course?
The duration and format of the training is 6 weeks.
5. Is certification available upon completion of the training?
Successful participants will get the AIN GenX certificates.
6. Is there ongoing support or resources available after completing the training?
Yes, participants will get continued support through Email and WhatsApp groups.
Instructor
Irfan Bakaly
Data Analyst
24+ years of experience in Data Analysis
Noor Surani
Data Analyst
Data Scientist
25+ years of experience in Data Analysis
Who this course is for:
Professionals, Managers, Beginners, Students, IT Professionals, Freelancers and Entrepreneurs
Duration
● 12 Weeks (36 Hours)
Classes
● Online / On-Site
Schedule
- Day: Sunday's Only
- Timing: 02:30 to 05:30pm (PST)
Starting From
● Sun, 9 February, 2025
Course Fee
● Online: Rs. 10,000/-
One Time Payment
● On-Site: Rs. 18,000/-
Rs. 9,000/- x 2 Installment (monthly)
Account Details
Bank: Habib Bank Limited
Account Title: AIN GenX
Account No: 5910-70000512-03
IBAN No: PK08 HABB 0059 1070 0005 1203
Secure a Verified Certificate from AIN GenX
Participants from Various Companies
What do participants say about AIN GenX?
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