This programme can run as an online or classroom training
(Available also for Customised Training by Duration, Venue & Fee)
Programme Description
How can you put data to work for your organization?
How can numbers be used to tell you about present and future of your business activities and potentials?
This course answers these questions with quantitative models. Candidates who take part in it will understand the fundamentals of this critical data management skill.
Through a series of short lectures, demonstrations, candidates will learn the key ideas with which they can begin to create their own standard models. Next, candidates will equally handle a variety of building blocks that will allow them to start structuring own models.
Course Contents
DAY ONE
Data Manipulation & Analysis
Definition and Uses of Data, Models and Common Functions
How Models are Used in Practice
Key Steps in the Modeling Process
Pivot Table
- Default Pivot Table
- Tabular Pivot Table
- Pivot Table Filtering
- Making a dynamic regular table from Pivot Table
- Calculations and Formula use with Pivot Table
- Advanced Pivot Table tricks.
PowerPivot for Data Mining (Excel 2013 or 2010 with PowerPivot Addin)
- Working with data of over 2 million rows
- Connecting with multiple sources of data
- DAX formulas
- Most popular PowerPivot Analysis.
PowerQuery
- Understanding what PowerQuery is
- Simple practical uses
- Using it to connect to third party data sources (your ERP or Database).
PowerView
- Understanding what PowerView is
- Simple practical uses.
Power Map
- Plotting your data on a live map that can be zoomed and rotated
- Special amazing use of the Power Map.
DAY TWO
Charting Large Data
- Understanding the principles that guide visualizing large data
- Making charts that bring insights to a large data
- Building a large data dashboard.
Making Professional Reports in Excel and Dashboards
- Linking sheets
- Duplicating sheets (better than copy and paste)
- Inserting sheets, labeling and coloring the professional way
- Freezing Panes and splitting windows
- Conditional formatting
To identify patterns
Using formulae
To make extremely intelligent reports
Making Professional Reports in Excel and Dashboards
Absolute and Relative Cell addressing to make effective formulas
Dashboards
Having the audience/recipient in mind.
DAY THREE
Linear Models and Optimization
Introduction to Linear Models and Optimization
Growth in Discrete Time
Constant Proportionate Growth
Present and Future Value
Optimization.
Building Blocks of Probability Models
Introduction to Probabilistic Models
Examples of Probabilistic Models
Probability Trees
Monte Carlo Simulations
Markov Chain Models
The Bernoulli Distribution
The Binomial Distribution
The Normal Distribution
The Empirical Rule.
DAY FOUR
Regression Models
Introduction to Regression Model
Use of Regression Models
Interpretation of Regression Coefficients
R-squared and Root Mean Squared Error (RMSE)
Fitting Curves to Data
Multiple Regression
Logistic Regression.
DAY FIVE
Preparing and Presenting the Reports
Excel spreadsheet reports
Excel to PowerPoint
- Linking PowerPoint Charts to Excel
- Embedding Excel sheets in PowerPoint
- Making a Powerful PowerPoint Presentation.
Excel to Word
- Mail Merge: Sending a personalized mail to a list of people
- Linking PowerPoint Charts to Excel
- Embedding Excel sheets in Word
- Copying tables and content from Excel to Word, the right way.
E-mails reports.