Excel Data Cleansing And Building Techniques Course Overview
Dealing with Big Data and Data Analysis? Make sure your data is clean.
What is Data Cleansing or Data Cleaning? It is a process that involves detecting and correcting or removing corrupt, inaccurate, incomplete and irrelevant records from a record set, table or database.
Do you face the following challenges with your data?
- Extra space(s) in the front, back or even within the data
- All data are in upper case or in lower case
- Position of the columns are not correct
- Lots of holes (empty cells) in the data
- Extra labels within the data list
- Merged cells within the data list
- Non-printable characters within the data
- Data are stored in horizontal format (standard is vertical)
- Date field become text field (cannot be calculated)
- Person names are stored in one field instead of splitting into First and Last name
- Duplicate records, etc
Apart from the above, there are many more challenges people face daily with their data sets. Regardless of the reporting tools you use to generate the unclean data (e.g. Power BI, Tableau, Power Pivot or Pivot Table), the generated reports will come out to be inaccurate.
Data cleaning is not just recommended, but a required process. Data is the core business asset that needs essential management for every business enterprise to generate returns. Data cleaning plays a pivotal role during decision-making process or data analysis. Incorrect or inconsistent data leads to poor business decisions and inferior customer relationship management. It can land your business in big trouble!
Data sets have the potential to grow inaccurate over time in many ways, from human error, inconsistent data styling to aging information. It is vital to keep your data in a uniform state with regular data cleaning for building quality data analytics and business intelligence solutions. This will improve the decision-making process, streamline business practices and help you efficiently use your time well.
In today’s business world, incorrect or inconsistent data can be costly. When the data is clean, not only does it provide substantial growth to the business, it also helps to maximise employees’ efficiency and improve their response rates.
False conclusions are derived from incorrect or inconsistent data. Your ability to clean the data highly impacts the quality of results. The longer you allow your Excel spreadsheet to run without proper excel data cleaning, the longer it will take to clean them up.
This Excel Data Cleansing and Building Techniques course, developed by Alaster, is conducted exclusively in Advanced Learning Singapore. You will be guided on the process of preparing data for accuracy and to build data not found in the existing data before using it as an analytics input. It involves the following:
- Analysing the data to detect any problems for reporting
- Clean the data if problems are detected: remove incorrect data, update incomplete information, clear or reformat the improper formatting, remove extra spaces and many more
- Reorganizing and shaping the data
- Building data that not found in the existing data
This course required Microsoft Power Query to be installed in Excel. Power Query is a free add-in for Excel. If you are using Excel version 2016 and above or Office 365, then Power Query is already included and no further action is required. If you are using Excel 2010 & 2013 version, you will need to download and install Power Query.
At the end of the course, learners are able to
- Learn how to analyse and detect problems
- Learn a set of functions that are required for data cleansing and building
- Learn the skills and techniques for data cleansing
- Learn Microsoft Power Query to clean and build data
- Get hands-on exercises to practice on the skills and techniques learned
This course is for anyone who needs to work with data.
This is a hands-on practical course. Our trainer will walk through each of the topics step-by-step. Learners will also be provided with exercise files on each topic to effectively apply what has been taught. A short Q & A session will be available after each topic.
- Intermediate Excel skills
- PC/Windows operating system laptop (personal laptops are preferred as some company laptops may have restrictions in accessing the Internet and USB thumb drive)
- Laptop power adaptor
- A USB mouse
- A USB thumb drive or hard-disk
- Software requirement: Microsoft Excel version 2010-2019 or Office 365 with Power Query installed
(Click here to download instruction and Click here to install Power Query)
- Date Functions
- Text Functions
- Lookup Functions
- Splitting data
- From report format to data
- Combine data
- Merge data
- Types of Join
- Connect to a folder & auto cleansing
- Unpivot a pivot data
Our Dedicated Trainer
Having trained adult learners specialising in IT from both public and private sectors since 1986, Alaster has a wealth of experience in training. Before moving into the training sector, Alaster worked in IT for over 12 years – boasting a wide range of roles held within software development. Prior to being approved by the People’s Association (PA), Alaster was an Associate Trainer with the Civil Service College. He also holds Microsoft Office Specialist (MOS) certification and specialises in training Microsoft Applications and Adobe Photoshop.
With his vast experience and commitment to keeping abreast with emerging trends, tools and technologies within the IT and software industry, Alaster is extensively involved in developing course outlines and materials that equip learners with up-and-coming skills in demand for the future of work.
In constantly exploring innovative and effective methods of imparting knowledge, Alaster is able to engage his learners in the courses he conducts. A large part of his trainings are committed to providing practical solutions to real-life problems, especially in the Excel courses he conducts. An approachable and engaging trainer, Alaster is always willing to aid his learners in overcoming various problems using the skills acquired even after courses. Well-known and liked for his dedication, commitment and passion for training, Alaster is appreciated by his learners.
Aside from the Excel Data Cleansing Course, Alaster is also our trainer for a myriad of other Microsoft specialised courses we conduct here in Singapore.
For organisations applying with more than 2 learners, please click here to download the registration form.
All registration forms should be submitted at least 2 weeks before course commencement. Many courses have pre-requisites, intended to foster a learner’s success in the course. Be sure to check the necessary pre-requisites before registering.
Inclusive of 2 coffee breaks with refreshments and catered/buffet lunch
Call us for a group rebate when you register in a group of 6 or more
Absentees will be charged the full course fee
2 days, 9:00am – 5:00pm
(14 hrs, exclude lunch break)
If you have a group of 6 or more preparing for the same course, you can opt for your own “closed” class. Closed classes are perfect for corporate team training where group learning can make a difference.
Please note that closed class is not customised class.
For Company-Sponsored Learners: Click here to download registration form
For Self-Sponsored Learners:
Click here to download registration form
You can also register online here
For Government Ministries / Agencies on HRMS / ACE, you are unable to see our courses on the list. Please inform your Training Coordinator the Course Code, Course Title, Course Date and the Training Provider is Advanced Learning Singapore to upload into the system for registration
Details of hotel will be confirmed nearer the course start date
Complimentary car park coupon upon request (subject to availability and confirmed on a first come, first served basis)
ALS reserves the right to reschedule, postpone or cancel any course, change the trainer and venue at short notice and at its absolute discretion, due to insufficient enrolment, class size, availability and circumstances outside our control
More Courses By Alaster
Excel 100 Tips And Techniques Course (New Launch)