Training Course on Data Analytics with Advanced Excel (DMC002)
Training Course on Data Analytics with Advanced Excel
The Data Analytics with Advanced Excel training offers a comprehensive exploration of Excels capabilities in data analysis. Throughout the course, you will delve into advanced techniques for cleaning and preparing data, mastering complex formulas and functions, and creating impactful visualizations like charts, graphs, and interactive dashboards. By the end of this program, you will possess the skills and confidence to extract valuable insights from data, enabling you to make informed decisions and drive organizational success through data-driven strategies.
Course Duration
10 days
Course Outline
Module 1: Introduction to Data Analytics
- Importance in decision-making
- Key concepts and terminology
- Advantages of using Excel
- Introduction to Excel data analysis tools
Module 2: Data Cleaning and Preparation
- External data connections
- Importing data from different sources
- Removing duplicates and inconsistencies
- Text to columns, data validation, and formatting
Module 3: Exploratory Data Analysis (EDA)
- Mean, median, mode
- Measures of dispersion
- Creating charts (bar, line, pie)
- Conditional formatting for visual insights
Module 4: Advanced Excel Functions for Data Analysis
- Statistical Functions - AVERAGEIF, COUNTIF, SUMIF
- Statistical analysis with Excel functions
- VLOOKUP, HLOOKUP, INDEX, and MATCH
- Combining functions for dynamic analysis
Module 5: PivotTables and PivotCharts
- Summarizing and analyzing data
- Grouping and filtering data
- Creating dynamic charts linked to PivotTables
- Using slicers for interactivity
Module 6: Power Query and Power Pivot
- Data import and transformation
- Merging and appending queries
- Creating data models
- DAX (Data Analysis Expressions) introduction
Module 7: Data Analysis with What-If Analysis Tools
- Performing sensitivity analysis
- Creating and managing scenarios
- Optimization and constraint-based analysis
- Solver for linear programming problems
Module 8: Regression Analysis in Excel
- Linear regression basics
- Multiple regression analysis
- Data preparation for regression
- Interpreting regression results
Module 9: Automation with Macros and VBA
- Recording and executing macros
- Writing simple VBA code for automation
- Integrating VBA with data analysis tasks
Module 10: Real-world Applications and Case Studies
- Application of data analytics in various sectors
- Extracting actionable insights from real-world data
- Applying learned concepts to a comprehensive data analysis project
- Peer review and feedback
Note: The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.
Course Language
English
Training Methodology
Presentations are well guided, practical exercise, a plenary presentation, and group work. Participants are encouraged to bring any data relevant to their job responsibilities. This is hands-on, product-oriented training and will mostly involve practical exercises. Each participant MUST bring along their own working laptop and android phone.
Certification
Upon completion of training, the participant will be issued with a certificate of Completion.
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