Excel Analytics

Track: Enterprise Data Practitioner (EDP)

Excel for Data Analytics introduces participants with little-to-no statistical or software expertise to basic statistical and visualisation tools using the intuitive and popular features in Microsoft Excel, such as Functions, Charts and PivotTables.

Duration: 3 days
Fee: RM2,250
Start Date: 15 - 17 May 2019

Use Excel to Make The Most of Your Data

Using Microsoft Excel, participants will learn the various powerful features of spreadsheets before using them in combination with statistical techniques to explore and discover relationships present in their data. This module will enable professionals looking to unlock latent value in their data and make the most of a powerful, familiar and intuitive software package.

Learning outcome:

Upon completion, participants should be able to demonstrate each of the following;

Use PivotTables and Functions effectively to summarise and augment Data in Microsoft Excel
Visualize Data & create dashboards for reporting with Microsoft Excel
Assess Data distributions and statistical relationships with Microsoft Excel

Who should attend:

Professionals that work with Data & Excel

3 days of in depth learning

Face to face with experienced Data Scientist.

Course Methodology

This course will utilize a combination of Lectures and Workshops.

CADS Certification

Earn certification upon completion.

Pre-requisite:
N/A

Minimum Qualification:
Undergraduate Degree

Training Track

Enterprise Data Practitioner (EDP)

Excel Analytics is one of the modules under our Enterprise Data Practitioner (EDP) programme. EDP is a nine-day training program that super-charges Business Intelligence analysts with new skills to analyse and communicate insights effectively.

Details of Subject

Day 1

Spreadsheet Fundamentals – All students start with basics like Navigation, The Tool Bar, and Comparison Operators. References and Data types prepare students use Excel like a pro.
Predefined Functions – Functions are a powerful tool to simplify operations in Excel. This section will introduce time-saving functions such as VLOOKUP, INDEX MATCH, COUNTIF.
Normalisation – Many of us work with Data, but good analysis begins with an organized dataset. Participants learn how to organize spreadsheets and lay the foundation for easier Data analysis.
Pivot Tables – Pivot Tables are an important function for aggregating large amounts of data at once. We use Pivot Tables to quickly understand large datasets but also as a pre-cursor to Data Visualisation techniques in Excel.
Data Visualization in Excel – We can use Visualization techniques to quickly understand large Data at a glance. Learn how to create and use sparklines, boxplots and line graphs for analysis towards decision- making.
Dashboarding – Dashboards are a versatile tool frequently used in the realm of Business Intelligence. Participants create strategic dashboards for decision-makers to track KPI’s at a glance.

Day 2

Data Profiling – The first task for many Data analysts when approaching a new dataset is to perform data profiling. Understanding where the center of the Data lies (mean, median, mode) and how spread out the Data is (quartiles, std. dev., variance) provides insights into the kind of analytical techniques that are effective for that particular dataset. This saves time, energy, and resources.

Day 3

Categorical Explanatory and Response Variables – Moving beyond single variable students move on to Cross Tabulations and Conditional Percentages.
Categorical Explanatory and Quantitative Response Variables – This chapter examines distributions of different subgroups. For example, which products are performing better in the market? How are the sales of each product affected by the customer quality rating? We will use simple statistical techniques to answer these questions.
Quantitative Explanatory and Quantitative Response Variables – Examine linear relationships through the Pearson Correlation Coefficient via a combination of scatterplots and Excel formulae. Correlation is not causation but can often hint at it providing a starting point for further investigation.

Lead Instructor

Dr. Vinod A. R. Ramachandran

Dr. Vinod Ramachandran is a certified Data Science specialist with 10 years of Data Modelling experience. His expertise also covers Statistics and Computational Intelligence where he researched the implementation of computational algorithms and techniques in the medical field (A full list of his publications is available at www.goo.gl/S2CC2i). On top of that, Dr. Vinod has also been granted a patent for his work on applying Genetic Algorithms in modelling Epileptic Seizures. Currently, his interests revolve around not only Data Science but also Geometric Modelling and Topological Data analysis.

CADS Certification

EDP CADS Certified Excel Analytics

Excel is everywhere and often used for quick descriptive and diagnostic analyses. This certification test covers the following topics: Pivot Tables, Dashboards, Analytical Functions, Distributions, and Statistical Relationships. If you know the ins and outs of using Excel for analytics, stand out from the crowd with a certification that will attract the right attention.

Hear from Our Alumni

The training has benefited me a lot with the skills required to be a data analyst and has upskilled me in data analysis. What I like about the program is where real life problems in the office is used as the materials during the trainings which provides more understanding of the topics. Eventually, it has broaden up my market in the career development.

The program started by setting an expectation on Day 1, that it is not a Read-And-Pass syllabus. The beauty of this program is that it requires the trainees to get their hands dirty and do the actual work throughout the course. It is indeed very different from a lot of programs in the market which just produces a certificate in the end without the trainee actually able to do some real stuff. The course is definitely benefiting anyone who really want to do Machine Learning and Data Science, by creating talents who are able to connect human thought with the machine algorithm, being the bridge within the corporate, into the digital worlds.

The training was beneficial as it trains myself to think from another perspective - one that may not be new, but wasn't practiced as often as I'd like. It was fun and interactive thanks to the facilitator, Jay, too. He was very helpful to answer any questions the attendees have. Believe that this training gives the attendees an extra edge by giving them the knowledge and perspective on how to better utilize data to what they want/need to do - for the organization, the business, and even for personal use, of which I believe will bring myself further in my career.

The training has been an eye opener for me. As someone who is not of programming background, it introduces me to the possibilities of what data can do. It has also helped me bridge the difference in thinking between the Business Team and the Data Science Team. Had a great time learning!

This training enhance on my skill of analyzing of using another tools of programming instead of excel and how to model and visualized our data in a better way instead of our traditional way. Especially when involve with a large scale of data. If using excel, there will a lot of time consuming there instead of R. For me, in market nowadays of big data, this course will brings more value and create another point of view on how to visualize our data especially in making any decision. And of course will enhance our career development.

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Excel Analytics

Excel Analytics

Use Excel to Make The Most of Your Data

Learning outcome: