Analytics Data Visualization with Self-Service BI Tools | ||||
---|---|---|---|---|
(Data-to-Insight-to-Action) |
Are you spending your days working with volumes of data which can be time consuming and repetitive? | Are you looking for new ways to analyze, visualize and effectively present your data? |
Deep dive into the capabilities of self-service BI tool to handle data with better speed and efficiency | ||
---|---|---|
![]()
|
![]()
|
![]()
|
Training Participants
(Click at the logo to access the training resources) |
---|
Upcoming Training Courses | ||
---|---|---|
This is the most comprehensive course for Power BI which split in several modules. Participants should enroll into Module 1 Power BI Essentials before proceed to more advanced modules (Module 2: Power BI DAX Essentials and Module 3 Machine Learning in Power BI with PyCaret). Advanced modules 2 & 3 are designed independently, participants can enroll in any of these modules separately regardless of the order of modules.
|
||
Delivery Method
1) Face-to-Face Instructor-Led course (9.00am - 5.00pm). OR 2) Live-Online Instructor-Led and limited the course to 4 hours a day (9.00am - 1.00pm or 1.00pm - 5.00pm) to make the experience of sitting at an online course easier. It will be delivered through Google Meet with full video, audio, and screen-sharing capabilities between the instructor and attendees. |
||
Who is the Training for?
This training is designed for employees across different functions who are interested to learn the techniques needed to transform their organization into a data-driven organization. The training does not require programming skill. |
||
![]() |
||
Module 1: Power BI Essentials
This training is designed for employees across different functions who are spending days working with volumes of data with Excel which can be time consuming and repetitive. Looking for new ways to analyze, visualize and effectively present the data. This course designed to give you an end to end view of all Power BI components and tools. In this course, you will learn all modules of Power BI; from Getting Data with Power Query, Doing data Modeling, Visualization in Power BI Desktop and Publishing content in Power BI Service. You will learn all the concepts with live demos. Expect learning best practices with great scenarios in this course. Learning Outcomes: At the end of this training, you will have a full understanding of all components in Power BI and you will know how these components work together to design and develop BIA solution with self-service BI tool. | Module 2: Power BI DAX Essentials
This training is designed for employees, who have the data prepared to be modeled for analysis. In this training, you will learn how to design the best model in Power BI with relationships, considering formatting and data types. You will learn about DAX which is the data modeling expression language in Power BI (and SSAS Tabular, and Power Pivot). You will learn from Simple DAX calculations to complex expressions and calculations for solving real-world challenges of a BI solution. You will learn all the concepts with live demos. Expect learning best practices with great scenarios in this course. Learning Outcomes: At the end of this training, you will be able to design the proper data model in Power BI, understand all relationship requirements and implement the right relationship, write complex DAX expressions for your analytics need, and put them all together to build the best model for your data analysis solution using Power BI. | Module 3: Machine Learning in Power BI using PyCaret
This training is designed for employees, who have the dataset to be modeled and ready for them to visualize with machine learning. In this training, you will learn how to add a layer of machine learning to the dashboards and reports using PyCaret in Power BI. The training continues with more focus on machine learning techniques with PyCaret, an open source, low code machine learning library in Python. You will learn techniques such as Clustering to group data points with similar characteristics, Anomaly Detection to identify rare observations/outliers, Classification to predict categorical class labels and Regression to predict continuous value. Expect learning best practices with great scenarios in this course. Learning Outcomes: At the end of this training, you will be able to integrate the PyCaret, an open source, low-code machine learning in Power BI and how to add a layer of machine learning techniques to the dashboard and reports. |
For more information, kindly contact:
Mr. Lau Siong Hoe H/P: +6013 620 3921 Email: sionghoe@gmail.com |
© 2021 sionghoe.com