Data Analysis
In this course you will learn:
- How to document your data and use pivot table.
- How to manage the data you're inserting and merge it all in one sheet.
- Understand the types of data and how to deal with multiple data.
- What is cleaning and transforming.
- How to adjust the data errors that might appear.
- the importance of the time factor and how to apply it on calculated measures.
- Usage of excel calendar and visualization.
This course is for anyone who wants to fully understand how to analyze his business' data through excel sheets. Cause it helps build a strong background of using all the app's features, and in this course they'll learn all the tips and trick they need to make it easier to analyze and understand all their inserted data.
Intro to Data Analysis
Why Pivot Table
Pivot Table
Power Pivot
Data Model
Connecting with Different Data Types
Power Query
Data Cleaning & Transformation
Intro to DAX Functions
DAX Functions
Calculated Measures
Calendars
Dynamic Time Intelligence
Chart Types
Dynamic Dashboard
I'm a highly experienced Data Analyst with an
Engineering background. I'm an IT Business Analyst at Reckitt Benckiser.
I became certified by Microsoft in Data Analyzing & Visualization
after being certified in Project Management from the University of
California and Advanced Excel for Business by Macquarie University. I
earned a scholarship in the Next Technology Leaders (NTL) and African
App Launchpad (AAL) in Programming for Data Science with Python
Nanodegree and Data Analyst Nanodegree, after which I earned another
full scholarship in the Advanced Data track sponsored by the Information
Technology Industry Development Agency (ITIDA), FWD and managed by
Udacity and its global leading technology partners!
Furthermore,
I'm a certified trainer in which I trained 15+ Entity for 1400+ Trainee
across 5 different countries making 500+ Training Hours. I believe the
future relies on taking smart business decisions and coming up with
accurate insights about your business based on smart data analysis in
order to improve operational processes and seize better business
opportunities which will lead to higher efficiency and value.
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