Description

Price: 5.00 USD | Size: 2.26 GB | Duration : 4+ Hours | 39 Video Lessons | ⭐️⭐️⭐️⭐️⭐️ 4.9

BRAND : Expert TRAINING | ENGLISH | Bonus :  Excel 2019 PDF Guides |  INSTANT DOWNLOAD 

 

 

This entry-level Excel 2022 for Data Analysis: Beginners training prepares technical and non-technical professionals to take huge amounts of data or big confusing spreadsheets and use Excel to extract meaningful information that can help make better business decisions.

Too many people think that learning about Microsoft Excel functions and formulas will be a dry and uninteresting slog that won’t help them in the long run. The truth is that even the tiniest familiarity with Excel can not only make your job easier but help you organize and manipulate data in order to answer business questions.

This course will show you the simple steps you can follow to make your Excel spreadsheets do more for you and act how you want them to. Excel was designed to do tons of work for you automatically. Take this course and learn exactly how to unlock all that potential.

Once you’re done with this data analysis skills training, you’ll know how to take huge amounts of data or big confusing spreadsheets and use Excel to extract meaningful information that helps make better business decisions.

For anyone who manages technical and non-technical professionals, this data analysis training can be used to onboard technical and non-technical professionals, curated into individual or team training plans, or as a data analysis reference resource.

This Excel 2022 for Data Analysis: Beginners training covers Excel topics including:

• Finding your way around spreadsheets
• Reading, writing, and updating formulas in Excel
• Using the power of Excel to do the heavy lifting of analysis for you

This Excel 2022 for Data Analysis: Beginners training is considered foundational-level data analysis training, which means it was designed for technical and non-technical professionals. This Excel skills course is valuable for new IT professionals with at least a year of experience with data analysis tools and experienced technical and non-technical professionals looking to validate their data analysis skills.

New or aspiring technical and non-technical professionals. If you’ve ever seen a really good spreadsheet with automatic formatting and fancy formulas, you know how powerful Excel can be. This Microsoft Excel course is designed to show you how to analyze and visualize data in order to tell compelling stories or answer complicated business questions — no matter your familiarity with Excel spreadsheets or data analysis.

Experienced technical and non-technical professionals. If you’ve been working in an office for a few years, you know that data analysis isn’t a specialized skill that only a handful of people do. Most professionals do data analysis of some kind, and this Excel course can ensure you know all the tricks, secrets, and formulas you should be aware of in order to properly analyze data with Excel.

Foundational Statistics for Data Analysis with Excel: Analyze Data with Excel

1. Supplemental Files

1 min

2. Introduction

1 min

3. Excel for Data Analytics

8 mins

4. Excel User Interface

8 mins

5. Excel Data Types

7 mins

6. Excel Formula Basics

9 mins

7. Excel Analysis ToolPak

7 mins

Foundational Statistics for Data Analysis with Excel: Manipulate Data with Excel

1. Supplemental Files

1 min

2. Introduction

1 min

3. Excel Numeric Functions

11 mins

4. Excel Text Functions

10 mins

5. Excel Date Functions

8 mins

6. Relative and Absolute Cell References

8 mins

7. Sorting and Filtering Data

7 mins

8. Removing Duplicate Data

4 mins

Foundational Statistics for Data Analysis with Excel: Identify Foundational Statistics for Data Analysis

1. Supplemental Files

1 min

2. Introduction

4 mins

3. What is Statistics?

13 mins

4. Statistical Data Types

8 mins

5. Important Statistical Terminology

8 mins

6. Data Analysis Types

6 mins

7. Programming Languages

6 mins

8. Analytics Suites

7 mins

Foundational Statistics for Data Analysis with Excel: Apply Descriptive Statistics

1. Supplemental Files

1 min

2. Introduction

3 mins

3. Measures of Central Tendencies

11 mins

4. Measures of Dispersion

8 mins

5. Variance

13 mins

6. Standard Deviation

11 mins

7. Z-Scores

11 mins

8. Percentages

8 mins

Foundational Statistics for Data Analysis with Excel: Apply Inferential Statistics

1. Supplemental Files

1 min

2. Introduction

3 mins

3. Confidence Intervals: Part 1

12 mins

4. Confidence Intervals: Part 2

5 mins

5. Hypothesis Testing

14 mins

6. A/A Test: Part 1

9 mins

7. A/A Test: Part 2

6 mins

8. A/B Test

10 mins