Learn Data Analysis using Microsoft Excel Basics Fast
Learn Data Analysis using Microsoft Excel Basics Fast, available at $19.99, has an average rating of 1.92, with 28 lectures, based on 6 reviews, and has 611 subscribers.
You will learn about Microsoft Excel and Data ANalysis This course is ideal for individuals who are Beginner Computer Passion People a nd analysts who want to learn Microsoft Excel and Data Analysis It is particularly useful for Beginner Computer Passion People a nd analysts who want to learn Microsoft Excel and Data Analysis.
Enroll now: Learn Data Analysis using Microsoft Excel Basics Fast
Summary
Title: Learn Data Analysis using Microsoft Excel Basics Fast
Price: $19.99
Average Rating: 1.92
Number of Lectures: 28
Number of Published Lectures: 28
Number of Curriculum Items: 28
Number of Published Curriculum Objects: 28
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Microsoft Excel and Data ANalysis
Who Should Attend
- Beginner Computer Passion People a nd analysts who want to learn Microsoft Excel and Data Analysis
Target Audiences
- Beginner Computer Passion People a nd analysts who want to learn Microsoft Excel and Data Analysis
Why learn Data Analysis and Data Science?
According to SAS, the five reasons are
1. Gain problem solving skills
The ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life.
2. High demand
Data Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase.
3. Analytics is everywhere
Data is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It’s a hugely exciting time to start a career in analytics.
4. It’s only becoming more important
With the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities.
5. A range of related skills
The great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths. Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.
The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities.
This is a bite-size course to learn Data Analysis using Microsoft Excel fasts. This course will use CRISP-DM model, and we will go through Data Understanding (Data visualization, Statistics, Data analysis) and Data Preparation (Removing Missing values and removing duplicates) using Microsoft Excel.
You will need to know some computer knowledge before learning this course and you need to know Microsoft Excel before learning also. You can learn Microsoft Excel in my course “Learn Microsoft Excel Basics Fast”.
You can take the course as follows and you can take an exam at EMHAcademy to get SVBook Advance Certificate in Microsoft Office and Data Analysis with Excel:
– Learn Microsoft Word Basics Fast
– Learn Microsoft Powerpoint Basics Fast
– Learn Microsoft Excel Basics Fast
– Learn Data analysis using Microsoft Excel Basics Fast.
Content
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Getting Started
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Download Dataset
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Read CSV
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Data Mining Process
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Insert Lien CHart
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Insert Bar Chart
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Insert Pie Chart
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Insert Scatterplot
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Insert Combo Chart
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Pivot Table
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Insert Pivot Table and Pivot Chart
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Data Analysis Plugins
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Data Analysis PLugins 2
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Descriptive Statistics
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Histogram
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Correlation
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Covariance
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TTest Two Samples Paired for means
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TTest Two Samples Equal Variances
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TTest Two Samples Unequal Variances
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F Test Two Samples for Variances
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ANOVA Single Factor
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ANOVA Two Factor WIthout Replication
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Regression Analysis
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Remove Duplicates
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Remove Missing
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Sort Data
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Filter Data
Course Curriculum
Chapter 1: Course
Lecture 1: Getting Started
Lecture 2: Downlaod Dataset
Lecture 3: Read CSV
Lecture 4: Data Mining Process
Lecture 5: INsert LIne Chart
Lecture 6: INsert Bar Chart
Lecture 7: INsert Pie CHart
Lecture 8: INsert Scatterplot
Lecture 9: Insert Combo Chart
Lecture 10: Pivot Table
Lecture 11: INsert Pivot Table and Pivot CHarts
Lecture 12: Data ANalysis Plugins
Lecture 13: Data Analysis PLugin 2
Lecture 14: Descriptive Statistics
Lecture 15: HIstogram
Lecture 16: Correlation
Lecture 17: Covariance
Lecture 18: TTest Two Samples Paired for Means
Lecture 19: TTest Two Samples Equal Variances
Lecture 20: TTest Two Samples Unequal Variances
Lecture 21: F Test Two Samples for Variances
Lecture 22: ANOVA SIngle Factor
Lecture 23: ANOVA Two Factor without Replication
Lecture 24: Regression Analysis
Lecture 25: Remove Duplicates
Lecture 26: Remove Missing Values
Lecture 27: Sort Data
Lecture 28: Filer Data
Instructors
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Goh Ming Hui
Offer affordable data science courses.
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 0 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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