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

Content hours

100 hours

Format

On-Site / On-line

Size (up to)

20 Participants

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

Content hours

100 hours

Format

On-Site / On-line

size (up to)

20 Participants

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

Charts Analysis

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

6 Hours

Welcome to
the Data Era

prerequisites

No prior knowledge is required

Format

Online / Face to Face / Hybrid

Duration

6 Hours

Participants will gain the foundational knowledge required in data-oriented roles, including key concepts and basic terminology.

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

Introduction to Data World

  • Definition of Data
    • Where is it coming from?
    • Who is using it?
    • How is it being used?
  • Data collection and storing methods
  • Use Cases of Organizations leveraging data
  • Big Data & Machine Learning concepts

Participants will gain the foundational knowledge required in data-oriented roles, including key concepts and basic terminology.

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

Introduction to Data World

  • Definition of Data
    • Where is it coming from?
    • Who is using it?
    • How is it being used?
  • Data collection and storing methods
  • Use Cases of Organizations leveraging data
  • Big Data & Machine Learning concepts

data skills

Charts Analysis

prerequisites

No prior knowledge is required

Format

Online / Face to Face / Hybrid

Duration

3 Hours

Charts Analysis

prerequisites

No Prior Knowledge Is Required

Format

Online / Face To Face / Hybrid

Duration

3 Hours

Data driven decision making is based on the ability to read data analysis and charts and conclude based on it. The best practices and methods for reading and interpretating charts and data analysis will be practeced.

Overview

Practical methods to read charts and understand the bigger picture. To identify the story behind it and moreover what it doesn’t tell

Desired Outcomes

  • Ability to easily read and understand charts
  • Ability to make deep interpretation to charts

Outline

Charts Analysis

  • Asking the right questions
  • The story behind our chart

Data driven decision making is based on the ability to read data analysis and charts and conclude based on it. The best practices and methods for reading and interpretating charts and data analysis will be practeced.

Overview

Practical methods to read charts and understand the bigger picture. To identify the story behind it and moreover what it doesn’t tell

Desired Outcomes

  • Ability to easily read and understand charts
  • Ability to make deep interpretation to charts

Outline

Charts Analysis

  • Asking the right questions
  • The story behind our chart

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.

Desired Outcomes

  • Apply measurement methods
  • Become aware of measurements limitations

Outline

Goal Setting & Measurement

  • Human limitations & biases
  • Goal setting methods
    • KPIs
    • OKRs
    • North Star
  • Feedback loop process
    • Defining the motive
    • Setting the goal
    • Finding the pain point
    • Collecting data
    • Finding symptoms
    • Making hypothesis
    • Building solution variation
    • A/B test
    • Measuring
    • Implementing
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.

Desired Outcomes

  • Apply measurement methods
  • Become aware of measurements limitations

Outline

Goal Setting & Measurement

  • Human limitations & biases
  • Goal setting methods
    • KPIs
    • OKRs
    • North Star
  • Feedback loop process
    • Defining the motive
    • Setting the goal
    • Finding the pain point
    • Collecting data
    • Finding symptoms
    • Making hypothesis
    • Building solution variation
    • A/B test
    • Measuring
    • Implementing

data tools

Excel / Google Sheets

prerequisites

Previous experience using basic computer applications

Format

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

Duration

25 Hours

Excel /
Google Sheets

prerequisites

Previous experience using basic computer applications

Format

Online / Face To Face / Hybrid / Self Learning

Duration

25 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 Outcomes

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

Outline

Fundamental (15h)

  • Overview & Data Types
  • Common Math Operations & Functions
  • Cell Referencing Deep Dive
  • Conditionals
  • Conditional Math Functions
  • Filtering & Sorting Data
  • Removing Duplicates
  • Conditional Formatting
  • Lookups

Advanced
(10h)

  • 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 (15h)

  • Overview & Data Types
  • Common Math Operations & Functions
  • Cell Referencing Deep Dive
  • Conditionals
  • Conditional Math Functions
  • Filtering & Sorting Data
  • Removing Duplicates
  • Conditional Formatting
  • Lookups

Advanced (10h)

  • Visualizations and dashboards
  • Pivot Tables

data tools

Power BI

prerequisites

Previous experience working with basic computer applications

Format

Online / Face to Face / Hybrid / Self Learning

Duration

25 Hours

Power BI

prerequisites

Previous experience working with basic computer applications

Format

Online / Face to Face / Hybrid / Self Learning

Duration

25 Hours

Fundamental functionalities and visualizations with Microsoft’s famous data analysis and reporting tool, including Power Query.

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

Fundamental (25h)

  • Introduction to Power BI
  • Building Visualizations
    • Building Charts
    • Building non-charts visuals
    • SLicers and Filters
  • Data Preparations & Publish
    • Data Modeling Concepts
    • Fundamentals of Power Query
    • Share and Publish report

Fundamental functionalities and visualizations with Microsoft’s famous data analysis and reporting tool, including Power Query.

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

Fundamental (25h)

  • Introduction to Power BI
  • Building Visualizations
    • Building Charts
    • Building non-charts visuals
    • SLicers and Filters
  • Data Preparations & Publish
    • Data Modeling Concepts
    • Fundamentals of Power Query
    • Share and Publish report

data tools

Tableau

prerequisites

Previous experience with basic computer applications

Format

Online / Face to Face / Hybrid / Self Learning

Duration

25 Hours

Tableau

prerequisites

Previous experience with basic computer applications

Format

Online / Face To Face / Hybrid / Self Learning

Duration

25 Hours

Fundamental functionalities and visualizations with one of the leading data analysis and reporting tools.

Overview

Using Tableau capabilities for data analysis and visualization. Tableau is one of the most popular analytical tools and has led the Gartner Magic Quadrant for years.

Desired Outcomes

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

Outline

Fundamental (25h)

  • Introduction
  • Data Management
  • Data Organization
    • Tour of Shelves
    • Default Properties
    • Filters
    • Groups & Sets
    • Sorting
    • Hierarchies & Folders
    • Other Organization Options (bins, keep/exclude, aliases)
  • View Types (Bar Chart, Line Chart, Heat Map, Scatter Chart and others)
  • View Customizations (Title & Caption, Labels, Shapes, Format and more)
  • Basic Calculations
    • Types of Calculations
    • Getting Started with Calculations
    • Row-Level vs. Aggregate Calculations
    • Data & Calculation Types
    • Null Values Calculations
    • Parameters
  • Dashboards
    • What are Dashboards?
    • Dashboard Objects
    • Filters in Dashboards
    • Dashboard Action Filters
    • Dashboard Extensions

Fundamental functionalities and visualizations with one of the leading data analysis and reporting tools.

Overview

Using Tableau capabilities for data analysis and visualization. Tableau is one of the most popular analytical tools and has led the Gartner Magic Quadrant for years.

Desired Outcomes

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

Outline

Fundamental (25h)

  • Introduction
  • Data Management
  • Data Organization
    • Tour of Shelves
    • Default Properties
    • Filters
    • Groups & Sets
    • Sorting
    • Hierarchies & Folders
    • Other Organization Options (bins, keep/exclude, aliases)
  • View Types (Bar Chart, Line Chart, Heat Map, Scatter Chart and others)
  • View Customizations (Title & Caption, Labels, Shapes, Format and more)
  • Basic Calculations
    • Types of Calculations
    • Getting Started with Calculations
    • Row-Level vs. Aggregate Calculations
    • Data & Calculation Types
    • Null Values Calculations
    • Parameters
  • Dashboards
    • What are Dashboards?
    • Dashboard Objects
    • Filters in Dashboards
    • Dashboard Action Filters
    • Dashboard Extensions

מאז פרוץ המלחמה ב-7.10.23 פיתחנו יחד עם שותפים רבים ומגוונים תוכניות הכשרה שמטרתן לתמוך ולסייע לאוכלוסיות שהושפעו מהמצב בישראל