Published | 2022-06-10 |
Platform | Udemy |
Rating | 4.55 |
Number of Reviews | 12 |
Number of Students | 580 |
Price | $49.99 |
Instructors |
Moustafa Ahmed Abd El-Azim
|
Subjects |
Learn How to Perform Data Analysis and Data Visualization from A to Z with Microsoft Excel, Pivot-Table and Pivot-Chart.
Microsoft Excel is a remarkable tool that's useful to many businesses around the world and it is one of many tools in Microsoft 365 Office which includes other tools such as Microsoft PowerPoint, Microsoft Access, Microsoft Outlook, and Microsoft Word however don't be mistaken for Google Sheets as it is a similar tool to Excel
Many do use Microsoft Excel in Data Analysis due to its easy-to-understand environment and spreadsheet capabilities, Moreover, It has many great features such as Pivot-Tables and Pivot-Charts which are 2 great tools to analyze data and visualize data.
In addition to its function collections that exceed 400+ functions, Excel Formulas are great as they help in executing easy and complex operations which can be great in achieving the job and saving time.
You will learn many excel formulas during the course starting with Data Cleansing formulas such as TRIM, UPPER, lower, and more to more advanced formulas such as IF, Count, LOOKUP Family, and More.
During the course you will learn the whole process of Data Analysis from A to Z and apply Excel Training through Quizzes and Practice Tests:
1- Data
Data Analysis surely starts with Data, Hence, During Section 1, You will learn
What's Data? Starting with its definition up to categories and qualities
What are the Data Types in Excel?
How to find a dataset?
How to Navigate through a dataset?
How to Autofil Data in Excel?
2- Data Cleansing
Data Cleansing is the process of clearing a dataset from any duplicates, blanks, or inconsistencies and making sure your dataset contains quality data
What are the traits of quality data?
How to identify duplicates and blanks?
Important excel formulas (TRIM, UPPER, lower, Proper, Substitute, Concatenation)
Filter and Sort Features
How to change Data Types
Text to Column
How to Format data as a table?
3- Data Manipulation
Data Manipulation is the process of manipulating data to extract relevant and key information from your dataset
Statistical Formulas or Functions (Mean, Median, Mode, Min, Max, Average)
Data Manipulation formulas (SUM, VLOOKUP, HLOOKUP)
Logical Functions (IF, IFS, SUMIF, COUNT, COUNTIF, COUNTIFS, COUNTBLANKS)
4- Analyze Data
Stage 4 is analyzing data using Pivot-Tables to gain more insights by creating a pivot table based on different rows/columns/filters and calculations
Introduction to Pivot-tables to understand what it is and why it is important
How to create a Pivot-Table?
How to Format Data in a Pivot-Table?
How to apply calculations on data in a Pivot-Table?
How to Sort Data in a Pivot-Table?
What are Slicers? How to use them and Why they are important?
How to create automated recommended Pivot-Tables?
5- Data Visualization
Finally Data Visualization, This is the final stage where you get to present your insights and analysis using Charts and Graphs, Charts are important as each Chart Type could identify hidden patterns and trends
Introduction to important Chart Types such as (Bar Charts, Column Charts, Line Charts, Combo Charts, Pie Charts, and Doughnut Charts)
How to create a Pivot-Chart?
How to Apply a Slicer to a Pivot-Chart?
How to Manually Style your Pivot-Chart?
This course is complete as you will get to learn all that you need to get hands dirty in the field of Data Analysis, You will obtain the important intellectual and technical skills to start your first project.
No Experience is required.