TOP 10 Most Popular Data Analysis Courses
TOP 10 Most Popular Data Analysis Courses
TOP 10 Most Popular Data Analysis Courses
- 1. The Data Science Course 2021: Complete Data Science Bootcamp
- 2. Mastering Data Analysis in Excel
- 3. Data Analysts Toolbox: Excel, Python, Power BI
- 4. Data Analysis Essentials Using Excel
- 5. The Complete Introduction to Data Analytics with Tableau
- 6. How to analyze Qualitative data
- 7. Statistical Data Analysis with SAS
- 8. Excel: Data cleaning and analysis techniques
- 9. Complete Introduction to Excel Power Pivot
- 10. Excel Data Analytics in AML Financial Intelligence Analysis
1. The Data Science Course 2021: Complete Data Science Bootcamp
Description
The Problem
Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.
However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.
And how can you do that?
Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming)
Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture.
2. Mastering Data Analysis in Excel
3. Data Analysts Toolbox: Excel, Python, Power BI
Description
In business, being able to understand, harness, and use data is no longer a skill reserved for a handful of well-paid analysts. It's becoming an essential part of many roles.
If that sounds daunting, don't worry. There is a growing set of tools designed to make data analysis accessible to everyone, in this huge-value, four-course Data Analysts Toolbox bundle we look in detail at three of those tools: Excel, Python, and Power BI.
In isolation Excel, Python, and Power BI are useful and powerful. Learn all three and you are well on your way to gaining a much deeper understanding of how to perform complex data analysis.
This Data Analysts Toolbox bundle is aimed at intermediate Excel users who are new to Python and Power BI. All courses include practice exercises so you can put into practice exactly what you learn.
4. Data Analysis Essentials Using Excel
5. The Complete Introduction to Data Analytics with Tableau
6. How to analyze Qualitative data
7. Statistical Data Analysis with SAS
Description
COURSE ABSTRACT
This course aims to provide a comprehensive introduction to the SAS analytic software for Windows. Through a mixture of lectures and in-class examples, quizzes, and take-home assignments, students will gain experience using the SAS system for data manipulation, management and analysis. You will also expect A LOT of extracurricular learning materials for self-pace learning, treat it as a BONUS! Emphasis will be placed on the skills and techniques necessary for efficient data manipulation, management and analysis. It is designed for students with little to no background with SAS, and an understanding of the basic statistical concepts. This will be an excellent choice for your first SAS introduction course for your data analysis career.
8. Excel: Data cleaning and analysis techniques
9. Complete Introduction to Excel Power Pivot
Description
With Excel's impressive Power Pivot, you can import millions of rows of data, create mashups from different data sources and build sophisticated data models with ease. This allows you to analyse your data and share insights with just a few clicks of your mouse. If you are eager to learn about Excel's Power Pivot without sitting through days of training, this is the course for you.
WHAT STUDENTS ARE SAYING:
"A great set of content about DAX functions & Power Pivot. Easy to learn content & great way of explaining the Excel formulas."
"This course opened my eyes to new ways to use Power Pivot. There is so much information packed into this course. Thank you for a great course. Now, on to your Power Query course!"
"Great course, especially if you have some knowledge already with excel or Power BI, easy to follow and goes in the right amount of detail."