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Data Analysis and Freelancing with Microsoft Excel

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Data Analysis and Freelancing with Microsoft Excel, available at $44.99, has an average rating of 4.65, with 56 lectures, based on 19 reviews, and has 195 subscribers.

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You will learn about Data analysis Microsoft excel Statistics Freelancing This course is ideal for individuals who are Beginners who are curious about data analysis or Researchers and University students or Want to become a global data analyst freelancer or Client data analyst and decision makers It is particularly useful for Beginners who are curious about data analysis or Researchers and University students or Want to become a global data analyst freelancer or Client data analyst and decision makers.

Enroll now: Data Analysis and Freelancing with Microsoft Excel

Summary

Title: Data Analysis and Freelancing with Microsoft Excel

Price: $44.99

Average Rating: 4.65

Number of Lectures: 56

Number of Published Lectures: 56

Number of Curriculum Items: 57

Number of Published Curriculum Objects: 57

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Data analysis
  • Microsoft excel
  • Statistics
  • Freelancing

Who Should Attend

  • Beginners who are curious about data analysis
  • Researchers and University students
  • Want to become a global data analyst freelancer
  • Client data analyst and decision makers

Target Audiences

  • Beginners who are curious about data analysis
  • Researchers and University students
  • Want to become a global data analyst freelancer
  • Client data analyst and decision makers

There is a growing demand for data analysis around the world because data are used everywhere for effective decision making. Skilled data analysts are highly paid and valued in both local and global markets. Therefore, I have prepared this ‘Data Analysis and Freelancing with Microsoft Excel’ course for individuals seeking to gain knowledge in data analysis and freelancing with data analysis.

The course will include the following aspects:

  • Why data analysis is required?

  • Basics of statistics & data analysis.

  • Data analysis using Microsoft excel.

  • Descriptive statistics.

  • Hypotheses and t-tests.

  • Analysis of variance (ANOVA).

  • Simple and multiple regression analysis.

  • Explanation in APA style.

  • Real exercise from Fiverr projects.

  • Getting started with Fiverr gigs.

  • Tips and tricks and many more.

The course features include but not limited to:

  • Easy explanation of statistical analysis.

  • Focus on both theory and practice.

  • Become a global data analyst freelancer.

  • Excellent carrier opportunity.

  • Basic foundation on statistical analysis.

  • Huge demand in the local and global markets.

Skills to be learned:Data analysis; Freelancing; Microsoft Excel; Statistics

Course participants: 

  • Beginners who are curious about data analysis

  • Researchers and University students

  • Want to become a global data analyst freelancer

  • Client data analysts and decision-makers

Thanks and Regards

Shahedul Hasan

BBA, MBA, Marketing, DU.

Provost Award, Bijoy Ekattor Hall, DU.

Dean’s Merit Award, FBS, DU.

Top Instructor, Instructory.

Additional Chief, Research & Publication, School of Entrepreneurship Development.

Data Analyst and Freelancer, Fiverr.

Course Curriculum

Chapter 1: Introduction to the Course and Instructor

Lecture 1: Course Instructor

Lecture 2: Course Objectives and Contents

Chapter 2: Getting Started with Data Analysis Course

Lecture 1: Research process and Excel toolpak

Lecture 2: Basics of Statistical Analysis

Lecture 3: Types of Data and Variables

Lecture 4: Levels of Measurement: Part A

Lecture 5: Levels of Measurement: Part B

Chapter 3: Descriptive Statistics: Part A

Lecture 1: Frequency and Graphs

Lecture 2: Data Analysis in Excel

Lecture 3: Reporting the results

Chapter 4: Descriptive Statistics: Part B

Lecture 1: Central Tendency

Lecture 2: Measures of Dispersion

Lecture 3: Shape of Distribution

Lecture 4: Data Analysis in Excel

Lecture 5: Reporting the results

Chapter 5: Inferential Statistics: Overviews of Hypothesis Testing

Lecture 1: Inferential statistics – Hypothesis testing Part A

Lecture 2: Inferential statistics – Hypothesis testing Part B

Chapter 6: Inferential Statistics: One Sample Test of Hypothesis

Lecture 1: One-Sample Tests of Hypothesis

Lecture 2: One and Two Tailed Test: Overview

Lecture 3: Two Tailed Test: Details

Lecture 4: One Tailed Test: Details

Lecture 5: Data Analysis in Excel (One Sample z-test)

Lecture 6: Data Analysis in Excel (one sample t-test)

Lecture 7: Reporting the results

Chapter 7: Inferential Statistics: Two Sample Test of Hypothesis

Lecture 1: Two-Sample T Test – Independent sample

Lecture 2: Data Analysis in Excel

Lecture 3: Reporting the results

Lecture 4: Two-Sample Z Test

Lecture 5: Data Analysis in Excel

Lecture 6: Two-Sample T Test – Paired sample

Lecture 7: Data Analysis in Excel

Lecture 8: Reporting the results

Chapter 8: Guidelines on Fiverr Freelancing Marketplace

Lecture 1: Getting started with Fiverr Profile

Lecture 2: Getting started with Fiverr Gig

Lecture 3: Promoting Fiverr Gig

Chapter 9: Inferential Statistics: Analysis of Variance (ANOVA)

Lecture 1: One way ANOVA

Lecture 2: Data Analysis in Excel

Lecture 3: Reporting the results

Lecture 4: N way ANOVA (without replication)

Lecture 5: N way ANOVA (with replication)

Lecture 6: Data Analysis in Excel (without replication)

Lecture 7: Data Analysis in Excel (with replication)

Lecture 8: Reporting the results

Chapter 10: Inferential Statistics: Correlation Analysis

Lecture 1: Correlation analysis

Lecture 2: Data Analysis in Excel

Lecture 3: Reporting the results

Chapter 11: Inferential Statistics: Regression Analysis

Lecture 1: Simple regression analysis

Lecture 2: Predictioin using simple regressioin analysis

Lecture 3: Data analysis in excel – Simple regression

Lecture 4: Data analysis in excel – Prediction

Lecture 5: Reporting the results

Lecture 6: Multiple regression analysis – Part A

Lecture 7: Multiple regression analysis – Part B

Lecture 8: Data analysis in excel – Multiple regression

Lecture 9: Data analysis in excel – Interaction

Lecture 10: Reporting the results

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 2 votes
  • 4 stars: 4 votes
  • 5 stars: 13 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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