#DATA ANALYSIS WITH EXCEL 2016 HOW TO#
#DATA ANALYSIS WITH EXCEL 2016 CODE#
#DATA ANALYSIS WITH EXCEL 2016 PROFESSIONAL#
#DATA ANALYSIS WITH EXCEL 2016 FREE#

In-Class Microsoft Excel 2016 Data Cleaning for Data Analytics Ensure your imported raw data is free from errors You are expected to be familiar with the features covered in those module. I am a very experienced user of an earlier version of Microsoft Excel can I take up this course?Дo note that this course is a focused course on data cleaning, time will not be spent teaching or on the revision of Excel features from our basic to Intermediate, and Advanced course syllabus. Imported raw data can come with each row of data all in stored into a single column cell which is not usable for analysis until they are properly separated into their respective columns.

#DATA ANALYSIS WITH EXCEL 2016 HOW TO#

To have Excel highlight them so that you can decide what and how to correct them quickly.

Learn how to manage or remove them.Дata files can contain errors such as Division error, Value error, etc. In Excel this can be done easily.Дuplicate record is a frequently occurring problem in data.

#DATA ANALYSIS WITH EXCEL 2016 CODE#

The need to replace or substitute a text within a sentence because of changes to for example, the department name or a reference code can be tedious when done manually. Being able to address these issues are important. These issues like sentences entered entirely in uppercase or lowercase, surnames or family names of different races differ in positions, can also cause problems. At times there might be a need to obtain portions of the date like the month or year.Д®ntered values in the wrong format or placement can often cause or pose challenges when handling certain tasks. You will learn how to safely convert such values.Дates can be entered in different formats like DD/MM/YYYY or MM/DD/YYYY which will cause errors in your reports, ensuring they are all aligned in the same format is essential. Having cells that contain text (alphanumeric) values instead of a numeric value can be disastrous and result in errors. These blank cells can be quickly filled with your required value. You can quickly and effectively remove those unwanted spaces.Д®mpty values in cells can cause issues to calculations and retrieval of relevant data. Having additional spaces between words can be an issue when doing comparison and matching of data. You will learn how to identify and decide on the appropriate format to import the raw data into Excel. Learners who work with imported raw data and have attended our Microsoft Excel 2016 Basic to Intermediate module or must be well versed in the topics covered in that module.

The organized and consolidated data can then be used to generate useful and accurate information for your company. This one-day course will equip you on using relevant Excel functions and formulas to find and eliminate the more common errors found in raw datasets. Any of these would render your analysis and reports inaccurate and can be damaging to your company. However, often times, the raw data files presented to us could contain errors such as duplicates, wrong data types, wrong letter case, unnecessary spaces between data just to name a few.

We need a dataset that is free from data errors to be incorporated into our work reports. We hear a lot about Data Analytics but data cleaning which is an important preparation of data before performing the analysis is often overlooked until errors occur.

#DATA ANALYSIS WITH EXCEL 2016 PROFESSIONAL#

Many of the Ed2Go courses are eligible towards the various online certificates offered by Professional Development.Microsoft Excel 2016 Data Cleaning for Data Analytics Ensure your imported raw data is free from errors A certificate of completion from Ed2Go is available for printing immediately upon successful completion of the course and a certificate from the University of Waterloo will be emailed typically 1-2 weeks later. There is only one opportunity to pass the exam. The final exam is an open-book, multiple choice exam and you need to achieve a minimum of 65% on the final exam to pass the course. Your score on these quizzes does not count towards the final mark but completing these helps solidify your learning as well as prepare you for the final exam. In addition to the specific lesson content, there is a discussion board with each lesson and often there is an optional assignment to apply the learning.ДЇollowing each lesson, there is a short multiple choice quiz. You are not required to be online at any specific time. Lessons are released on Wednesdays and Fridays of each week, for a total of 12. The course duration is 6 weeks, followed by a 2-week period to complete the final exam (online, open book). This course is fully online, you require internet access and an email account.

Data analysis with excel 2016