Data and Analytics Training
Training is crucial to user adoption of your data and analytics tools
That’s why a training plan is a necessary component for all our data and analytics projects so we can equip your workforce with the knowledge they need to be successful and productive.
If your capabilities in analytics training are falling short, it’s likely due to one of the following common obstacles:
It is out of date with recent trends in the world of data and analytics.
Difficulties of your workforce to solve key business problems.
Lack of knowledge of how
to design and build data processing systems.
Difficulty adapting to changes in the market and evolution of your business.
Lack of experience of your workforce to extract information in real time.
Don’t know how to use new methodologies and methods for extraction, treatment and analysis of data.
Our data learning path
DAECO prepares your workforce with the relevant skills to succeed in roles that leverage data and technology.
• Visualization (BI)
Design and implementation
• Storytelling
Tell Stories
Analytic's Solutions
• Descriptive Analytic
What happened?
• Diagnosis Analytic
Why did this happen?
• Predictive Analytic
What’s going to happen?
• Prescriptive Analytic
What should happen?
Data Engeneering
• Requirements analysis
• Analysis of data sources
• Logical model of the data warehouse
• Create the data warehouse
• Generate OLAP cubes
Analytical Maturity Diagnosis
• Organization
• Resources
• Data infraestructure
• Analytics
• Governance
Characteristics
• Industry oriented training
• Skill based program
• Professional trainers
• Placement assistance
• Live industrial projects
Find the right course for you
• Start with the training that matches your experience.
• Get individually or as a bundle.
We help by integrating data silos and inculcating a culture of data awareness and experiential learning across your business.
What you will learn about:
Analytical maturity diagnosis
We will set the stage for how to approach data maturity at your organization. We will discuss how investments in infrastructure, people, tools, organization, and processes, can help you march down the path of data maturity. Moreover, we will discuss how to make the most of the data maturity assessment and how to use it as you guide your organization’s data maturity.
Key Highlights
- What the 5 DMM dimensions are and why they were chosen.
- TDWI as a model of data maturity diagnosis.
- How you can boost your organization’s data maturity.
Data engineering
We will teach essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data.
Key Highlights
- Data Integration and transformation.
- Providing solutions to complex Business problems.
- Updating data warehouses.
- Data cleaning techniques.
- Mining data.
- Managing SQL Server objects and data.
- Extracting data from a variety of sources.
- Loading data into one or several destinations.
Data analytics
Gain general knowledge in identifying, transforming, and organizing data-driven facts to draw conclusions, make predictions, and drive informed decision making.
Key Highlights
- How to ask the right questions.
- Setting measurable goals.
- Identifying data sources.
- Extract insights from your data.
- Design and build descriptive models to respond: what happened to your data?
- Design and build diagnostic analytical models to respond: what did this happened to your data?
- Design and build predictive models to respond: what’s going to happen?
- Design and build prescriptive models to respond: what should happen?
- Transcend to new prediction scenarios, in which it is possible to suggest actions to follow in highly changing dynamic scenarios.
Data visualization
We help learners expand their analytical skills by answering questions and telling a story with their data.
Key Highlights
- Data visualization best practices & concepts.
- How to select the most appropriate data. visualization for an analysis.
- Learn the best techniques and methods to analyze and visualize data.
- How to create various charts, maps, scatterplots, and interactive dashboards using different tools.
Storytelling
Learn to combine the power of data analysis
and storytelling to create impactful narratives with data and how to incorporate advanced animation into your stories.
Key Highlights
- Learn to communicate results and implications of your quantitative analyses visually in a way that non-technical people can understand.
- End to end process for data storytelling.
Advanced data visualization and storytelling techniques. - How to add interactivity and other visual elements to a story.
- Learn a set of tools and concepts that you can use to optimize your visualizations and your presentation style.
With the right data skills, the sky's the limit!
We understand the challenges facing managers, that’s why we design a special data analysis program for managers
- Understanding the data science landscape.
- Data analytics techniques and their application in business.
- Explore the meaning behind the numbers and figures in data.
- How to conduct and interpret some basic data science activities.
- Handling of data analytics with a graphical development environment, which makes advanced tools easily accessible without coding.
Why hire a data scientist when you can harness the wealth of knowledge your employees possess?
Become data-driven business.
Stay updated with the latest and trending updates from the world of data and analytics.
Understand and creatively solve a range of key business and social problems.
Learn how to design and build data processing systems.
Leverage data and gain real time insights that improve your decision making and accelerate innovation.
Give flexibility to your business and your workforce with new capabilities in analytics.
