Complete Introduction to Business Data Analysis
![[DOWNLOAD] Complete Introduction to Business Data Analysis Udemy Free Download [DOWNLOAD] Complete Introduction to Business Data Analysis Udemy Free Download](https://img-c.udemycdn.com/course/480x270/540450_d09d_8.jpg)
Udemy free download Complete Introduction to Business Data Analysis, with this course you can Move beyond BASIC reports and learn data ANALYSIS. Learn to easily turn data into information, insight and intelligence This course By Ian Littlejohn "Excel Power Tools, Power BI and Google Data Studio Trainer".
53 lectures and 0 generic quizzes On-demand course with full lifetime Access multiple devices. DOWNLOAD YOURS NOW.
One way to know the usability of the course to know how many students took the course. Because if large number of people are taking this course, it means it has some value. So far, the total number of enrolments have crossed 37172.
But enrolment alone is not a good yardstick to measure the value of any course. But positive reviews are!
This Udemy free download course was created in created and has an average 4.6 star rating out of 5. The total reviews for this course are 12533 which is a number of reviews and ratings.
What Will You Learn From This Course?
- Enjoy CLEAR and CONCISE step by step lessons from a best selling Udemy instructor in FULL HD 1080 P
- Transform Data into INSIGHT and INTELLIGENCE using powerful methods of analysis, techniques and tools
- Learn data analysis using easy to master drag and drop techniques - NO CONFUSING FORMULAS, macros or VBA
- Learn 8 different techniques for DATA ANALYSIS that can be easily implemented in Excel (2010 - Office 365)
- LIFE TIME ACCESS to course materials and practice activities from a BEST SELLING Udemy instructor
- Learn to ask the RIGHT questions of your data using comparison, trend, ranking, variance, pareto and many other techniques
- Learn BEST practices for data analysis and data presentation
- Learn BEST practices for the design and setup of INTERACTIVE dashboards
What this instructor say's about His tutorial ?
If you want to learn simple, effective techniques to create impactful Excel Dashboards and Data Analysis, this course is ideal. Updated in 2022 with full high definition video, this course teaches you practical skills you can apply in your work environment immediately. Just take a look at the recent comments and reviews!
WHAT STUDENTS ARE SAYING:
"Presentation is great! Very practical solutions for everyday business analysis challenges."
"I walked away with a lot much practical knowledge. Really excited to apply this knowledge in my work. I have taken other courses from Ian and never disappointed."
"One of the best courses I have taken on Udemy!!! Very easy to understand, not long and drawn out and focuses on what is relevant in the work place. Will definitely recommend it to my team."
"Really enjoyed the course, so many practical tips, which are easily explained. Thanks"
ABOUT THE TRAINER
In this course, you will learn the BEST techniques and tools for turning data into MEANINGFUL analysis using Excel
This course is lead by Ian Littlejohn - an international trainer, consultant and data analyst with over 150 000 enrollments & 100 000 students on Udemy. Ian specializes in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, Google Data Studio & Amazon Quicksight & his courses average over 4.5 stars out of 5.
**** Life-time access to course materials and practice activities. ****
ABOUT THE COURSE
The Complete Introduction to Business Data Analysis teaches you how to apply different methods of data analysis to turn your data into new insight and intelligence.
The ability to ask questions of your data is a powerful competitive advantage, resulting in new income streams, better decision making and improved productivity. A recent McKinsey Consulting report has identified that data analysis is one of the most important skills required in the American economy at the current time.
During the course you will understand why the form of analysis is important and also provide examples of analysis using Excel.
The following methods of analysis are included:
Key Metrics
Comparison Analysis
Trend Analysis
Ranking Analysis
Interactive Dashboards
Contribution Analysis
Variance Analysis
Pareto Analysis
Frequency Analysis
Correlations
The Complete Introduction to Business Data Analysis is designed for all business professionals who want to take their ability to turn data into information to the next level. If you are an Excel user then you will want to learn the easy-to-use techniques that are taught in this course.
This course is presented using Excel in Office 365. However, the course is also suitable for:
Excel 2013
Excel 2016
Excel 2019
Please note that this course does not include any complicated formulas, VBA or macros. The course utilizes drag and drop techniques to create the majority of the different data analysis techniques.
We are dedicated to provide our visitors with authentic educational content Complete Introduction to Business Data Analysis that is available free of Download. We do not want you wasting your valuable time on other things, pop-ups or other distractions while searching for something useful and relevant - instead we promise an enjoyable journey in which every step taken will be productive towards achieving success.
Self-study provides the opportunity to learn on your own time, at any pace. With so many different types of media available and an abundance or content for every interest imaginable it has never been easier than now with Self Study "Complete Introduction to Business Data Analysis" free courses.
Here we are presenting one of the courses on Udemy for free. If you want to learn Business this course will help you in Move beyond BASIC reports and learn data ANALYSIS. Learn to easily turn data into information, insight and intelligence and to increase your knowledge about it. Below are the complete details of this course visit this link and start Udemy free download now.
Udemy Free Download Complete Introduction to Business Data Analysis
4.6