Sambe Training

Fast Focused Effective Training

Sambe Training

  • We develop and provide customised tailored training solutions to help individuals and teams learn skills they need for their environment with no lag between the learning and the implementation of knowledge.

  • We are adaptable and can customize our curriculum to focus on those topics that are most relevant to your environment, team, and solutions rather than broad coverage of topics that may not be relevant.

Training Courses

Power BI

Training Objective:                   

  • To analyze data from single or multiple sources

  • To create individual datasets based on these sources and transform results into beautiful and easy-to-make visualizations? 

  • To share results with colleagues or collaborate on a project

  • To access data from multiple devices

Training Curriculum: 

Power BI Desktop

  • Getting Started (1h Hour)

  • Modeling (1 Hour)

  • Visualizations (2 Hours)

  • Power BI and Excel(1 Hour)

  • Introduction to DAX(3 Hours)

Power BI Services

  • Exploring data (1 Hour)

  • Publishing and sharing (1 Hour)

Robotic Process Automation: UiPath Foundation

Foundation UI Path Course (25hr training)

The objective of this computer-based course is to introduce the team to the fundamental concepts of Ui Path. The course will teach the team about the Process and Object studio and all the stages available to create an automation solution. By the end of the course, the team will be able to build their own UI Path process. The team will achieve the following by the end of the course:

  • Learn the core decision, calculation, and action stages

  • Create a basic application modeler representation of third-party software to allow UI Path interaction

  • Demonstrated advanced process flow with hierarchical pages and inputs/outputs

  • Familiarized with the layout of UI Path and the separation of the Process Studio, Object studio, and Control room

  • Will be able to build robust processes through exception handling logic

  • Proficient at managing information within a Workflow queue

  • Able to run published processes in the Control room.

Robotic Process Automation: UiPath Practitioner

Practitioner UI Path Course (Two weeks classroom training)
Comprises of ten modules, beginning with the “Recap of Foundation Course” module that aims to refresh your knowledge and understanding of the basic concepts and features in UI Path that you have learned in the Foundation Course. This will set the right foundation for further development of your UI Path proficiency.
As you are going through the course, you will be introduced to the more advanced features of the software. This will also include additional Spying Modes which will aid you in the configuration of a Business Object or Process that interfaces with a target system. 
Additionally, you will be introduced to some useful techniques and best practices for UI Path Process/Business Object configuration, as well as helpful tips for troubleshooting when things do not go as planned. 
Below is the list of the modules available in the Practitioner Course

  • Recap of Foundation Course   

  • Life-cycle Orientation

  • Exception Handling

  • Solution Design

  • Object Layer Design

  • Process Layer and Process Template

  • Work Queues

  • Browser Automation

  • Best Practices

  • Guide to Accessibility Mode

Developing SQL Data Models

The focus of this course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups.


The primary audience for this course is database professionals who need to fulfil a BI developer role to create reports. Primary responsibilities will include implementing reports and mobile reports. The secondary audiences for this course are power information workers:

- Implementing multidimensional databases by using SQL Server Analysis Services.
- Creating tabular semantic data models for analysis by using SQL Server Analysis Services.

• Describe the components, architecture, and nature of a BI solution
• Create a multidimensional database with analysis services
• Implement dimensions in a cube
• Implement measures and measure  groups  in a cube
• Use MDX syntax
• Customize a cube
• Implement a tabular database
• Use DAX to query a tabular model
• Use data mining for predictive analysis

Implementing a SQL Data Warehouse

This course will provide the team with the knowledge and skills to provision a Microsoft SQL Server 2016 database. The course covers SQL Server 2016 provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.


The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role.  They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.

• Describe the key elements of a data warehousing solution
• Describe the main hardware considerations for building a data warehouse
• Implement a logical design for a data warehouse
• Implement a physical design for a data warehouse
• Create columnstore indexes
• Implementing an Azure SQL Data Warehouse
• Describe the key features of SSIS
• Implement a data flow by using SSIS
• Implement control flow by using tasks and precedence constraints
• Create dynamic packages that include variables and parameters
• Debug SSIS packages
• Describe the considerations for implement an ETL solution
• Implement Data Quality Services
• Implement a Master Data Services model
• Describe how you can use custom components to extend SSIS
• Deploy SSIS projects
• Describe BI and common BI scenarios

 

Microsoft SQL Server Reporting Services

The focus of this course is to enable users to build flexible, powerful reports based on database data, SharePoint data, and other information.


These reports can be published to a central server for use by a department, specific managers, or even an entire office. Attending this training will provide the trainee with a complete understanding of designing, developing, testing and tuning of Business Intelligence Reports.

• SSRS Data Sources
• SQL Reporting Services Report Items
• Basic Reports in SQL Reporting Services
• SSRS Tutorial on Basic Formatting
• Advanced SSRS Reports
• SSRS Parameters
• SSRS Charts Tutorial
• SSRS Report Manager Tutorial
• SSRS Report Builder Tutorial

Robotic Process Automation: Blue Prism Foundation

Foundation Blue Prism Course (25hr training) The objective of this computer-based course is to introduce the team to the fundamental concepts of Blue Prism. The course will teach the team about the Process and Object studio and all the stages available to create an automation solution. By the end of the course, the team will be able to build their own Blue Prism process.

​The team will achieve the following by the end of the course:

  • Learn the core decision, calculation, and action stages

  • Create a basic application modeler representation of third-party software to allow Blue prism interaction

  • Demonstrated advanced process flow with hierarchical pages and inputs/outputs

  • Familiarized with the layout of Blue Prism and the separation of the Process Studio, Object studio, and Control room

  • Will be able to build robust processes through exception handling logic

  • Proficient at managing information within a Workflow queue

  • Able to run published processes in the Control room

Robotic Process Automation: Blue Prism Practitioner

Practitioner Blue Prism Course (Two weeks classroom training) 
Comprises of ten modules, beginning with the “Recap of Foundation Course” module that aims to refresh your knowledge and understanding of the basic concepts and features in Blue Prism that you have learned in the Foundation Course. This will set the right foundation for further development of your Blue Prism proficiency.
As you are going through the course, you will be introduced to the more advanced features of the software. This will also include additional Spying Modes which will aid you in the configuration of a Business Object or Process that interfaces with a target system. 
Additionally, you will be introduced to some useful techniques and best practices for Blue Prism Process/Business Object configuration, as well as helpful tips for troubleshooting when things do not go as planned.
Below is the list of the modules available in the Practitioner Course:

  • Recap of Foundation Course

  •  Lifecycle Orientation

  • Exception Handling

  • Solution Design

  • Object Layer Design

  • Process Layer and Process Template

  • Work Queues

  • Browser Automation

  • Best Practices

  • Guide to Accessibility Mode

Python for Data Science

(Introduction to Data Science)

Mastering Predictive Analytics with Python

(Intermediate Data Science)

Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. (40 - 160 Hours)

What will you learn:

  • Explore Python language fundamentals, including basic syntax, variables, and types

  • Build Numpy arrays, and perform interesting calculations

  • Supercharge your scripts with control flow, and get to know the Pandas DataFrame

  • Be able to quantitatively define an answerable, actionable question

  • Understand the difference between machine learning and frequentist approaches to statistics

  • Implement classification and regression models using machine learning

  • Score new datasets, evaluate model fit, and quantify variable importance

This course aims to teach you importance of analytics in this new era of rapidly growing innovation and technologies. From identifying a business problem to building a predictive analytics model, you will be taken through every possible stage of Data Science Life Cycle. While we teach you state-of-art machine learning algorithms, we take you through the tricks of fine tuning, avoiding bias and variance. Each domain has its own way of solving analytical problems, although the machine learning algorithms are the same, what differs is Feature Extraction. We will teach you how to extract features for domains like Banking, Telecom and Retail. Curse of dimensionality is something that bothers data scientists a lot, we will teach you how to engineer the features and reduce the dimensions or pick the best. At the end of this course, you will acquire skills to even compete in Hackathons and Data Science platforms like Kaggle. (40 - 160 Hours)

 

What will you learn:

  • Data Science Life Cycle

  • Data Science Pipe-Lines End to End

  • Machine Learning Algos using Scikit

  • Feature Extraction using Pandas, Numpy

  • Feature Engineering using Scikit, Numpy

  • Model fine tuning

  • Out of box; Stacking/Blending