1- Analyzing and Visualizing Data with Excel :
Develop your skills with Excel, one of the common tools that data scientists depend on to gather, transform, analyze, and visualize data.
Information about the course:
- Length: 6 Weeks
- Effort: 2 – 4 hours per week
- Price: FREE
- Institution: Microsoft
| Provider | Microsoft |
| Course teacher | Jonathan Sanito & Dany Hoter |
| certificate | YES with fees |
Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.
Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.
Do you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.
edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance.
What you’ll learn
- Gather and transform data from multiple sources
- Discover and combine data in mashups
- Learn about data model creation
- Explore, analyze, and visualize data
Syllabus :
Week 1
Setup the lab environment by installing Office applications. Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data. Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.
Week 2
Learn about queries (Power Query add-in in Excel 2013 and Excel 2010), and build an Excel data model from a single flat table. Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data. Create a mash-up between data from text-files and data from a SQL database.
Week 3
Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions. Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.
Week 4
Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons. Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI. Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.
2- Introduction to Data Analysis using Excel :
Learn the basics of Excel, one of the most popular data analysis tools, to help visualize and gain insights from your data.
Information about the course:
- Length: 4 Weeks
- Effort: 2 – 4 hours per week
- Price: FREE
- Institution: Microsoft
| Provider | Microsoft |
| Course teacher | Jonathan Sanito & Dany Hoter |
| certificate | YES with fees |
The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.
In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.
Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards.
You should have a basic understanding of creating formulas and how cells are referenced by rows and columns within Excel to take this course. If required, you can can find many help topics on Excel at the Microsoft Office Support Site. You are welcome to use any supported version of Excel you have installed in your computer, however, the instructions are based on Excel 2016. You may not be able to complete all exercises as demonstrated in the lectures but workarounds are provided in the lab instructions or Discussion forum. Please note that Excel for Mac does not support many of the features demonstrated in this course.
After taking this course you’ll be ready to continue to our more advanced Excel course.
What you’ll learn
- Create flexible data aggregations using pivot tables
- Represent data visually using pivot charts
- Calculate margins and other common ratios using calculation on pivot table
- Filter data using slicers in multiple pivot tables
- Create aggregate reports using formula based techniques
Syllabus :
Week 1
- Learn about Excel tables and what is their advantage over regular ranges.
- Use a table to filter, sort and see totals.
- See how calculations can be used to add columns to the existing data in Excel table.
Week 2
- Create our first pivot table.
- Use multiple pivot tables and pivot charts to create our first dashboard.
- Connect multiple slicers to the pivot tables.
Week 3
- Explore in more depth the full power of pivot tables.
- See how to filter the data shown in the pivot in many ways to achieve interesting subsets of the data.
- Use calculated fields on top of the pivot table to calculate profitability and find anomalies.
Week 4
- Use formulas to aggregate the data as an alternative to pivot tables for more flexible reporting layouts.
- See how a pivot can use more than one table and introduction to the Excel data table that is described in detail in the more advanced course in these series.
3- Essential Math for Data Analysis using Excel Online:
Information about the course:
- Length: 6 Weeks
- Effort: 2 – 4 hours per week
- Price: FREE
- Institution: Microsoft
| Provider | Microsoft |
| Course teacher | Tom Carpenter & Ben Olsen &Trevor Barnes |
| certificate | YES with fees |
Learn essential mathematical skills for analyzing data
Starting with the absolute basics of math and data, this course builds up your analyst skills while removing the mathematical hurdles and barriers that often come with beginning to learn how to analyze data. This course is intended for anyone with the desire to do data analysis and who would like to learn the math behind it all in a simplified way, as well as for anyone who would like a thorough refresher on the essentials.
Learn how to handle different data types, understand mathematical notation, become proficient in handling data sets and summary statistics, and even get a sneak peek into how to be effective at making stctistical inferences and predictions, all told in a way to maximize your understanding—so that afterward, you can be well on your way toward analyzing data in any field or discipline.
What you’ll learn :
In this course, you will learn how to:
- Handle data sets for analysis purposes
- Understand beginning mathematical notation
- Work with different types of data
- Summarize data with distributions and graphs
- Apply summary statistics to analyze and understand data sets
- Calculate business metrics and KPIs to derive business value from data sets
- Apply basic inferential math to data
- Use tools to forecast future trends in data
Syllabus :
Module 1: Introduction to Data and Variables
Module 2: Summarizing Data with Distributions and Graphs
Module 3: Summary Statistics
Module 4: Business Statistics
Module 5: Introduction to Inferential Math and Forecasting
Resources and OFFICIAL LINK : www.edx.org
It’s nice l would like to join you