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Introduction to Data Analytics (techniques you can apply today)

The techniques taught in this course are all executable in Microsoft Excel and will help you improve your current analysis skills.
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10 students
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8.6

CourseMarks Score®

9.1

Freshness

N/A

Feedback

7.6

Content

Platform: Simpliv Learning
Video: 6h28m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.1 / 10
This course was last updated on 07/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

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New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.6 / 10
Video Score: 7.6 / 10
The course includes 6h28m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 34 minutes of 287 Data Science courses on Simpliv Learning.
Detail Score: 9.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 1.0 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

In this course we use a real data-set to practice what is taught in each of the lecture videos. By using real data you will get “hands on” practice so that you are able to apply what you have learnt to your work or life needs.

Although gender wage trends may not be a relevant topic for you, we use wage data to demonstrate how to execute and apply data analysis techniques. By the end of this course you will be able to explain why some females earn less than males and be able to identify (and measure) where gender wage discrimination is taking place and where not. This ability can be applied to any industry or research topic.

The techniques taught in this course are all executable in Microsoft Excel and will help you improve your current analysis skills. The topics cover:

Using averages and means
Using counts and medians
Data visualizations (graphs and plots)
Correlations and scatter-plots
Histograms to describe the shape of data
How to easily understand and use variance and standard deviation
How to construct and use “confidence intervals”
Hypothesis testing
Using t-tests to prove or disprove an assumption
For all of the above we replicate the technique in Excel and practice drawing insights about what we are seeing.

The course begins by introducing you to some basic theory about data and variables. You will then be introduced to some Excel tips and tricks (if you want) and the data-set that will be used. The data is a sample of over 500 survey responses that includes information about income, employment, education, gender, race, age and industry.

We then dive into the different techniques until we can statistically prove, with a high level of confidence, where wage discrimination is taking place (or not).

I hope you find this course rewarding, interesting and challenging!

Jef Jacobs

Basic knowledge
High school mathematics and some basic statistics
Some experience with Microsoft Excel

You will learn

What you will learn
✓ Apply the right techniques for the type of data
✓ Compare data by using averages, medians and modes
✓ Further analyse data by its shape using histograms and other data visualizations
✓ Measure and describe the spread of data around the average
✓ Measure the strength of a relationship between two variables
✓ Construct confidence intervals to describe how trustworthy and an average really is
✓ Complete a t-test to compare how similar or different two sets of data are
✓ Learn how to analyse wage data and identify gender discrimination

Requirements

• High school mathematics and some basic statistics
• Some experience with Microsoft Excel

This course is for

• Anyone Who Wishes To Learn Practical Data Science Using Python
• Anyone Interested In Learning How To Implement Machine Learning Algorithms Using Python
• People Looking To Get Started In Deep Learning Using Python
• People Looking To Work With Real Life Data In Python
• Anyone With A Prior Knowledge Of Python Looking To Branch Out Into Data Analysis
• Anyone Looking To Become Proficient In Exploratory Data Analysis, Statistical Modelling & Visualizations Using iPython

How much does the Introduction to Data Analytics (techniques you can apply today) course cost? Is it worth it?

The course costs $19.99. And currently there is a 80% discount on the original price of the course, which was $99.99. So you save $80 if you enroll the course now.
The average price is $14.9 of 287 Data Science courses on Simpliv Learning.

Does the Introduction to Data Analytics (techniques you can apply today) course have a money back guarantee or refund policy?

YES, Introduction to Data Analytics (techniques you can apply today) has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Introduction to Data Analytics (techniques you can apply today) course, but there is a $80 discount from the original price ($99.99). So the current price is just $19.99.

Who is the instructor? Is Jef Jacobs a SCAM or a TRUSTED instructor?

Jef Jacobs has created 5 courses that got 353 reviews which are generally positive. Jef Jacobs has taught 2,105 students and received a 4.4 average review out of 353 reviews. Depending on the information available, Jef Jacobs is a TRUSTED instructor.
Economics | Consultant | Data Analyst
Hi there. I hold a masters degree in Economic science and have over five year’s of economic strategy consulting experience. I also taught economics to university students for two years. I am now the analytics and insights manager for a large education NGO.



I hope you find my courses stimulating, educational and practical!



Happy learning

Jef

8.6

CourseMarks Score®

9.1

Freshness

N/A

Feedback

7.6

Content

Platform: Simpliv Learning
Video: 6h28m
Language: English
Next start: On Demand

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