Data Journey

for All

Take the first steps in an engaging and practical journey, obtaining skills that will bring participants from basic capabilities to navigation in a data oriented environment.

The Program

Audience

All

Duration

3 Months

Format

F2F / Remote

Sessions

Live

Size (up to)

20 Learners

Our Vision

Transform talents to impact the organizational culture by becoming more data-driven and integrating data skills into core business processes.

Desired
Outcomes

Integrate data language into daily business

Use analytical tools to analyze business data

Leverage data insights to make business decisions

The Program

Audience

All

Duration

3 Months

Format

F2F / Remote

Sessions

Live

size (up to)

20 Learners

Our Vision

Transform talents to impact the organizational culture by becoming more data-driven and integrating data skills into core business processes.

Desired
Outcomes

Integrate data language into daily business

Use analytical tools to analyze business data

Leverage data insights to make business decisions

Skills

Welcome to
the Data Era

The Data-Driven Mindset

Goal Setting & Measurement

Tools

Excel /
Google Sheets

Power BI

Tableau

Our Partners and Customers

Our Partners
& Customers

Testimonials

FAQ

Can you customize training for my company?
Each organization and business is different, so pre-packaged training programs don't work for everyone.
Therefore, we offer two types of customizations:
1. industry-specific customization.
2. organization-specific customization. Make sure you ask about it.
How do you deliver your training?
Every organization has its own unique learning environment, and we support all of them:
In-person (at any location designated by you)
vs. Online (via Zoom or Microsoft Teams)
vs. Hybrid Instructor-led vs. self-paced using our learning system vs. hybrid
How many participants can attend the same course at once?
Our professional experience suggests that a cohort of participants should be no more than 20 to ensure an effective learning process. 
When there are more than 20 participants, we offer a teacher assistant (TA).
Do you offer interactive training?
Definitely!
Our approach to learning and evolving is based on experience and hands-on practice.
Who teaches your courses?
Elevation-certified instructors have proven experience and are professionals with proven expertise.
What will the participants leave with?
During each course, we provide takeaways with a summary. Furthermore, Elevation learning system content is available for 6 months after course completion.

data skills

Welcome to the Data Era

prerequisites

No prior knowledge is required

Format

Online / Face to Face / Hybrid

Duration

4 Hours

Welcome to
the Data Era

prerequisites

No prior knowledge is required

Format

Online / Face to Face / Hybrid

Duration

4 Hours

Participants will gain the foundational knowledge required in data-oriented roles, including key concepts and basic terminology. They will also leverage case studies to investigate the role of data and its usage in a business environment.

Overview

  • Basic concepts and terminology
  • Data management
  • The key role of data in business environment

Desired Outcomes

  • Speak and understand the data language
  • Familiarity with the data ecosystem
  • Understand the unlimited possibilities using data and its potential

Outline

Data Foundations

  • Data definition and sources

From Source to Target

  • Data Flow
  • Importance of business data management – “garbage in garbage out”
  • Business Definition of Data
Data’s importance in the business context
  • The data revolution – past vs. present
  • Review business case studies. For example, Booking.com audience targeting
  • AI and its implications – a glance to the future

Participants will gain the foundational knowledge required in data-oriented roles, including key concepts and basic terminology. They will also leverage case studies to investigate the role of data and its usage in a business environment.

Overview

  • Basic concepts and terminology
  • Data management
  • The key role of data in business environment

Desired Outcomes

  • Speak and understand the data language
  • Familiarity with the data ecosystem
  • Understand the unlimited possibilities using data and its potential

Outline

Data Foundations

  • Data definition and sources

From Source to Target

  • Data Flow
  • Importance of business data management – “garbage in garbage out”
  • Business Definition of Data
Data’s importance in the business context
  • The data revolution – past vs. present
  • Review business case studies. For example, Booking.com audience targeting
  • AI and its implications – a glance to the future

data skills

the Data-Driven Mindset

prerequisites

No prior knowledge is required

Format

Online / Face to Face / Hybrid

Duration

8 Hours

The Data-Driven Mindset

prerequisites

No Prior Knowledge Is Required

Format

Online / Face To Face / Hybrid

Duration

8 Hours

Data-Driven Decision Making fundamentals including managing biases, differentiating between intuition and data, and practicing hands-on data-driven decision making.

Overview

Fundamentals of Data-Driven Decision Making:
  • The human brain’s decision making process
  • Internal resistance to data-driven thinking and how to overcome it
  • Self awareness and intuition management

Desired Outcomes

  • Familiarity with data-driven thinking
  • Implement data-driven decision making methods in problem solving

Outline

Human Brain Decision Making
  • Definition of human capabilities and limits related to decision making
Cognitive biases
  • Confirmation Bias
  • Hindsight Bias
  • Self-Serving Bias
  • Anchoring Bias
  • Availability Bias

Rational vs. Irrational

  • Methods of overcoming cognitive biases
Data-Driven Decision Making
  • Definition and best practices

From Intuition to Data-Driven

  • Practicing decision making based on business use cases

Data-Driven Decision Making fundamentals including managing biases, differentiating between intuition and data, and practicing hands-on data-driven decision making.

Overview

Fundamentals of Data-Driven Decision Making:
  • The human brain’s decision making process
  • Internal resistance to data-driven thinking and how to overcome it
  • Self awareness and intuition management

Desired Outcomes

  • Familiarity with data-driven thinking
  • Implement data-driven decision making methods in problem solving

Outline

Human Brain Decision Making
  • Definition of human capabilities and limits related to decision making
Cognitive biases
  • Confirmation Bias
  • Hindsight Bias
  • Self-Serving Bias
  • Anchoring Bias
  • Availability Bias

Rational vs. Irrational

  • Methods of overcoming cognitive biases
Data-Driven Decision Making
  • Definition and best practices

From Intuition to Data-Driven

  • Practicing decision making based on business use cases

data skills

Goal Setting and Measurement

prerequisites

Basic understanding of data, as provided in the “Welcome to the Data Era” course

Format

Online / Face to Face / Hybrid

Duration

6 Hours

Goal Setting &
Measurement

prerequisites

Basic understanding of data, as provided in the “Welcome to the Data Era” course

Format

Online / Face To Face / Hybrid

Duration

6 Hours

Master data usage for setting business goals based on key measurements (“North Star,” KPIs, and OKRs) and essential measurement metrics.

Overview

Data-driven management is based on various measurement methods, such as:
  • Setting goals to meet organizational needs
  • Identifying the right metrics to measure organizational progress vs. the defined goals

Desired Outcomes

  • Apply measurement methods
  • Define the right metrics for your needs

Outline

Goals
  • The importance of goals in all level management
  • The risks of goal setting which can lead to unwanted outcomes
Goal setting methods
  • OKRs
  • KPIs
  • North Star
Best practice metrics per industry
  • Review the standard metrics in your industry and their proper usage
Keeping goals impact
  • How not to overdo or underdo it
Master data usage for setting business goals based on key measurements (“North Star,” KPIs, and OKRs) and essential measurement metrics.

Overview

Data-driven management is based on various measurement methods, such as:
  • Setting goals to meet organizational needs
  • Identifying the right metrics to measure organizational progress vs. the defined goals

Desired Outcomes

  • Apply measurement methods
  • Define the right metrics for your needs

Outline

Goals
  • The importance of goals in all level management
  • The risks of goal setting which can lead to unwanted outcomes
Goal setting methods
  • OKRs
  • KPIs
  • North Star
Best practice metrics per industry
  • Review the standard metrics in your industry and their proper usage
Keeping goals impact
  • How not to overdo or underdo it

data tools

Excel / Google Sheets

prerequisites

Previous experience using basic computer applications

Format

Online / Face to Face / Hybrid / Self Learning / Self Paced

Duration

30 Hours

Excel /
Google Sheets

prerequisites

Previous Experience Using Basic Computer Applications

Format

Online / Face To Face / Hybrid / Self Learning

Duration

30 Hours
Participants will learn Excel / Google Sheets functionalities and capabilities on two levels:
  • Fundamentals for first-time users
  • Upskilling and advanced techniques

Overview

Using the most fundamental analytical tool – Excel / Google Sheets.

Desired Outcome

Apply the main capabilities of Excel / Google Sheets and use them freely.

Outline

Fundamental (20 h)
  • Overview & Data Types
  • Common Math Operations & Functions
  • Cell Referencing Deep Dive
  • Conditionals
  • Conditional Math Functions
  • Filtering & Sorting Data
  • Removing Duplicates
  • Conditional Formatting
  • Lookups
Advanced (10 h)
  • Visualizations and Dashboards
  • Pivot Tables
Participants will learn Excel / Google Sheets functionalities and capabilities on two levels:
  • Fundamentals for first-time users
  • Upskilling and advanced techniques

Overview

Using the most fundamental analytical tool – Excel / Google Sheets.

Desired Outcomes

Apply the main capabilities of Excel / Google Sheets and use them freely.

Outline

Fundamental (20 h)
  • Overview & Data Types
  • Common Math Operations & Functions
  • Cell Referencing Deep Dive
  • Conditionals
  • Conditional Math Functions
  • Filtering & Sorting Data
  • Removing Duplicates
  • Conditional Formatting
  • Lookups
Advanced (10 h)
  • Visualizations and Dashboards
  • Pivot Tables

data tools

Power BI

prerequisites

Previous experience using basic computer applications

Format

Online / F2F / Hybrid / Self Learning

Duration

30 Hours

Power BI

prerequisites

Previous experience using basic computer applications

Format

Online / Face To Face / Hybrid / Self Learning

Duration

30 Hours
Fundamental functions and visualizations with Microsoft’s famous data analysis and reporting tool.

Overview

Using Power BI’s fundamental capabilities. Power BI is one of the most used analytical tools and has led the Gartner Magic Quadrant for years.

Desired Outcomes

  • Apply Power BI’s data analysis and visualization capabilities
  • Use Power BI with confidence

Outline

Intro to
Power BI
  • The “what” and “why” of Power BI
Report and Visualization builder
  • Building Basic Report
  • Building Charts
  • Filter & Slicer
  • Drill through
  • Design Options (headers, background etc.)
  • Drill down / Drill up
Data Modeling Concepts
  • Modeling Relationships
  • Columns & Measures
  • Calculated Columns
  • Calculated Measures
Power Query
  • Managing Columns
  • Managing Rows
Fundamental functions and visualizations with Microsoft’s famous data analysis and reporting tool.

Overview

Using Power BI’s fundamental capabilities. Power BI is one of the most used analytical tools and has led the Gartner Magic Quadrant for years.

Desired Outcomes

  • Apply Power BI’s data analysis and visualization capabilities
  • Use Power BI with confidence

Outline

Intro to Power BI
  • The “what” and “why” of Power BI/li>
Report and Visualization builder
  • Building Basic Report
  • Building Charts
  • Filter & Slicer
  • Drill through
  • Design Options (headers, background etc.)
  • Drill down / Drill up
Data Modeling Concepts
  • Modeling Relationships
  • Columns & Measures
  • Calculated Columns
  • Calculated Measures
Power Query
  • Managing Columns
  • Managing Rows

data tools

Tableau

prerequisites

Previous experience using basic computer applications

Format

Online / F2F / Hybrid / Self Learning

Duration

30 Hours

Tableau

prerequisites

Previous experience using basic computer applications

Format

Online / F2F / Hybrid / Self Learning

Duration

30 Hours

Fundamental functions and visualizations with one of the most popular data analysis and reporting tools.

Overview

Using Tableau’s fundamental capabilities. Tableau is one of the most popular analytical tools and has led the Gartner Magic Quadrant for years.

Desired Outcomes

  • Apply Tableau’s data analysis and visualization capabilities
  • Use Tableau with confidence

Outline

Intro to Tableau
  • The “what” and “why” of Tableau
Data Management
  • Connecting to Data
  • Data Preparation
  • Combining Data
Data Organization
  • Tour of Shelves
  • Filters & Sorting
  • Groups & Sets
  • Hierarchies & Folders
View Types
  • Tables, charts, maps etc.
View Customization
  • Title & Caption, Labels, Tooltips (Viz-in-tooltips) etc.
Basic Calculations
  • Row-Level vs. Aggregate Calculations, Data & Calculation Types etc.
Dashboards
  • Creating and using dashboards
Fundamental functions and visualizations with one of the most popular data analysis and reporting tools.

Overview

Using Tableau’s fundamental capabilities. Tableau is one of the most popular analytical tools and has led the Gartner Magic Quadrant for years.

Desired Outcomes

  • Apply Tableau’s data analysis and visualization capabilities
  • Use Tableau with confidence

Outline

Intro to Tableau
  • The “what” and “why” of Tableau
Data Management
  • Connecting to Data
  • Data Preparation
  • Combining Data
Data Organization
  • Tour of Shelves
  • Filters & Sorting
  • Groups & Sets
  • Hierarchies & Folders
View Types
  • Tables, charts, maps etc.
View Customization
  • Title & Caption, Labels, Tooltips (Viz-in-tooltips) etc.
Basic Calculations
  • Row-Level vs. Aggregate Calculations, Data & Calculation Types etc.
Dashboards
  • Creating and using dashboards